111 skills found · Page 1 of 4
microsoft / TaskWeaverThe first "code-first" agent framework for seamlessly planning and executing data analytics tasks.
mercedes-benz / DnAData and Analytics Platform provides A-Z solution for enterprises in Analytics area, from transparency on planned and ongoing activities up to providing open source components, data and trainings to realize them. All in self-service manner, cloud independent with minimum infrastructure footprint.
cubewise-code / Tm1pyTM1py is a Python package that wraps the TM1 REST API in a simple to use library.
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Masudbro94 / Python Hacked Mobile Phone Open in app Get started ITNEXT Published in ITNEXT You have 2 free member-only stories left this month. Sign up for Medium and get an extra one Kush Kush Follow Apr 15, 2021 · 7 min read · Listen Save How you can Control your Android Device with Python Photo by Caspar Camille Rubin on Unsplash Photo by Caspar Camille Rubin on Unsplash Introduction A while back I was thinking of ways in which I could annoy my friends by spamming them with messages for a few minutes, and while doing some research I came across the Android Debug Bridge. In this quick guide I will show you how you can interface with it using Python and how to create 2 quick scripts. The ADB (Android Debug Bridge) is a command line tool (CLI) which can be used to control and communicate with an Android device. You can do many things such as install apps, debug apps, find hidden features and use a shell to interface with the device directly. To enable the ADB, your device must firstly have Developer Options unlocked and USB debugging enabled. To unlock developer options, you can go to your devices settings and scroll down to the about section and find the build number of the current software which is on the device. Click the build number 7 times and Developer Options will be enabled. Then you can go to the Developer Options panel in the settings and enable USB debugging from there. Now the only other thing you need is a USB cable to connect your device to your computer. Here is what todays journey will look like: Installing the requirements Getting started The basics of writing scripts Creating a selfie timer Creating a definition searcher Installing the requirements The first of the 2 things we need to install, is the ADB tool on our computer. This comes automatically bundled with Android Studio, so if you already have that then do not worry. Otherwise, you can head over to the official docs and at the top of the page there should be instructions on how to install it. Once you have installed the ADB tool, you need to get the python library which we will use to interface with the ADB and our device. You can install the pure-python-adb library using pip install pure-python-adb. Optional: To make things easier for us while developing our scripts, we can install an open-source program called scrcpy which allows us to display and control our android device with our computer using a mouse and keyboard. To install it, you can head over to the Github repo and download the correct version for your operating system (Windows, macOS or Linux). If you are on Windows, then extract the zip file into a directory and add this directory to your path. This is so we can access the program from anywhere on our system just by typing in scrcpy into our terminal window. Getting started Now that all the dependencies are installed, we can start up our ADB and connect our device. Firstly, connect your device to your PC with the USB cable, if USB debugging is enabled then a message should pop up asking if it is okay for your PC to control the device, simply answer yes. Then on your PC, open up a terminal window and start the ADB server by typing in adb start-server. This should print out the following messages: * daemon not running; starting now at tcp:5037 * daemon started successfully If you also installed scrcpy, then you can start that by just typing scrcpy into the terminal. However, this will only work if you added it to your path, otherwise you can open the executable by changing your terminal directory to the directory of where you installed scrcpy and typing scrcpy.exe. Hopefully if everything works out, you should be able to see your device on your PC and be able to control it using your mouse and keyboard. Now we can create a new python file and check if we can find our connected device using the library: Here we import the AdbClient class and create a client object using it. Then we can get a list of devices connected. Lastly, we get the first device out of our list (it is generally the only one there if there is only one device connected). The basics of writing scripts The main way we are going to interface with our device is using the shell, through this we can send commands to simulate a touch at a specific location or to swipe from A to B. To simulate screen touches (taps) we first need to work out how the screen coordinates work. To help with these we can activate the pointer location setting in the developer options. Once activated, wherever you touch on the screen, you can see that the coordinates for that point appear at the top. The coordinate system works like this: A diagram to show how the coordinate system works A diagram to show how the coordinate system works The top left corner of the display has the x and y coordinates (0, 0) respectively, and the bottom right corners’ coordinates are the largest possible values of x and y. Now that we know how the coordinate system works, we need to check out the different commands we can run. I have made a list of commands and how to use them below for quick reference: Input tap x y Input text “hello world!” Input keyevent eventID Here is a list of some common eventID’s: 3: home button 4: back button 5: call 6: end call 24: volume up 25: volume down 26: turn device on or off 27: open camera 64: open browser 66: enter 67: backspace 207: contacts 220: brightness down 221: brightness up 277: cut 278: copy 279: paste If you wanted to find more, here is a long list of them here. Creating a selfie timer Now we know what we can do, let’s start doing it. In this first example I will show you how to create a quick selfie timer. To get started we need to import our libraries and create a connect function to connect to our device: You can see that the connect function is identical to the previous example of how to connect to your device, except here we return the device and client objects for later use. In our main code, we can call the connect function to retrieve the device and client objects. From there we can open up the camera app, wait 5 seconds and take a photo. It’s really that simple! As I said before, this is simply replicating what you would usually do, so thinking about how to do things is best if you do them yourself manually first and write down the steps. Creating a definition searcher We can do something a bit more complex now, and that is to ask the browser to find the definition of a particular word and take a screenshot to save it on our computer. The basic flow of this program will be as such: 1. Open the browser 2. Click the search bar 3. Enter the search query 4. Wait a few seconds 5. Take a screenshot and save it But, before we get started, you need to find the coordinates of your search bar in your default browser, you can use the method I suggested earlier to find them easily. For me they were (440, 200). To start, we will have to import the same libraries as before, and we will also have our same connect method. In our main function we can call the connect function, as well as assign a variable to the x and y coordinates of our search bar. Notice how this is a string and not a list or tuple, this is so we can easily incorporate the coordinates into our shell command. We can also take an input from the user to see what word they want to get the definition for: We will add that query to a full sentence which will then be searched, this is so that we can always get the definition. After that we can open the browser and input our search query into the search bar as such: Here we use the eventID 66 to simulate the press of the enter key to execute our search. If you wanted to, you could change the wait timings per your needs. Lastly, we will take a screenshot using the screencap method on our device object, and we can save that as a .png file: Here we must open the file in the write bytes mode because the screencap method returns bytes representing the image. If all went according to plan, you should have a quick script which searches for a specific word. Here it is working on my phone: A GIF to show how the definition searcher example works on my phone A GIF to show how the definition searcher example works on my phone Final thoughts Hopefully you have learned something new today, personally I never even knew this was a thing before I did some research into it. The cool thing is, that you can do anything you normal would be able to do, and more since it just simulates your own touches and actions! I hope you enjoyed the article and thank you for reading! 💖 468 9 468 9 More from ITNEXT Follow ITNEXT is a platform for IT developers & software engineers to share knowledge, connect, collaborate, learn and experience next-gen technologies. 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Aryia-Behroziuan / NeuronsAn ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so
rramatchandran / Big O Performance Java# big-o-performance A simple html app to demonstrate performance costs of data structures. - Clone the project - Navigate to the root of the project in a termina or command prompt - Run 'npm install' - Run 'npm start' - Go to the URL specified in the terminal or command prompt to try out the app. # This app was created from the Create React App NPM. Below are instructions from that project. Below you will find some information on how to perform common tasks. You can find the most recent version of this guide [here](https://github.com/facebookincubator/create-react-app/blob/master/template/README.md). ## Table of Contents - [Updating to New Releases](#updating-to-new-releases) - [Sending Feedback](#sending-feedback) - [Folder Structure](#folder-structure) - [Available Scripts](#available-scripts) - [npm start](#npm-start) - [npm run build](#npm-run-build) - [npm run eject](#npm-run-eject) - [Displaying Lint Output in the Editor](#displaying-lint-output-in-the-editor) - [Installing a Dependency](#installing-a-dependency) - [Importing a Component](#importing-a-component) - [Adding a Stylesheet](#adding-a-stylesheet) - [Post-Processing CSS](#post-processing-css) - [Adding Images and Fonts](#adding-images-and-fonts) - [Adding Bootstrap](#adding-bootstrap) - [Adding Flow](#adding-flow) - [Adding Custom Environment Variables](#adding-custom-environment-variables) - [Integrating with a Node Backend](#integrating-with-a-node-backend) - [Proxying API Requests in Development](#proxying-api-requests-in-development) - [Deployment](#deployment) - [Now](#now) - [Heroku](#heroku) - [Surge](#surge) - [GitHub Pages](#github-pages) - [Something Missing?](#something-missing) ## Updating to New Releases Create React App is divided into two packages: * `create-react-app` is a global command-line utility that you use to create new projects. * `react-scripts` is a development dependency in the generated projects (including this one). You almost never need to update `create-react-app` itself: it’s delegates all the setup to `react-scripts`. When you run `create-react-app`, it always creates the project with the latest version of `react-scripts` so you’ll get all the new features and improvements in newly created apps automatically. To update an existing project to a new version of `react-scripts`, [open the changelog](https://github.com/facebookincubator/create-react-app/blob/master/CHANGELOG.md), find the version you’re currently on (check `package.json` in this folder if you’re not sure), and apply the migration instructions for the newer versions. In most cases bumping the `react-scripts` version in `package.json` and running `npm install` in this folder should be enough, but it’s good to consult the [changelog](https://github.com/facebookincubator/create-react-app/blob/master/CHANGELOG.md) for potential breaking changes. We commit to keeping the breaking changes minimal so you can upgrade `react-scripts` painlessly. ## Sending Feedback We are always open to [your feedback](https://github.com/facebookincubator/create-react-app/issues). ## Folder Structure After creation, your project should look like this: ``` my-app/ README.md index.html favicon.ico node_modules/ package.json src/ App.css App.js index.css index.js logo.svg ``` For the project to build, **these files must exist with exact filenames**: * `index.html` is the page template; * `favicon.ico` is the icon you see in the browser tab; * `src/index.js` is the JavaScript entry point. You can delete or rename the other files. You may create subdirectories inside `src`. For faster rebuilds, only files inside `src` are processed by Webpack. You need to **put any JS and CSS files inside `src`**, or Webpack won’t see them. You can, however, create more top-level directories. They will not be included in the production build so you can use them for things like documentation. ## Available Scripts In the project directory, you can run: ### `npm start` Runs the app in the development mode.<br> Open [http://localhost:3000](http://localhost:3000) to view it in the browser. The page will reload if you make edits.<br> You will also see any lint errors in the console. ### `npm run build` Builds the app for production to the `build` folder.<br> It correctly bundles React in production mode and optimizes the build for the best performance. The build is minified and the filenames include the hashes.<br> Your app is ready to be deployed! ### `npm run eject` **Note: this is a one-way operation. Once you `eject`, you can’t go back!** If you aren’t satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project. Instead, it will copy all the configuration files and the transitive dependencies (Webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own. You don’t have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it. ## Displaying Lint Output in the Editor >Note: this feature is available with `react-scripts@0.2.0` and higher. Some editors, including Sublime Text, Atom, and Visual Studio Code, provide plugins for ESLint. They are not required for linting. You should see the linter output right in your terminal as well as the browser console. However, if you prefer the lint results to appear right in your editor, there are some extra steps you can do. You would need to install an ESLint plugin for your editor first. >**A note for Atom `linter-eslint` users** >If you are using the Atom `linter-eslint` plugin, make sure that **Use global ESLint installation** option is checked: ><img src="http://i.imgur.com/yVNNHJM.png" width="300"> Then make sure `package.json` of your project ends with this block: ```js { // ... "eslintConfig": { "extends": "./node_modules/react-scripts/config/eslint.js" } } ``` Projects generated with `react-scripts@0.2.0` and higher should already have it. If you don’t need ESLint integration with your editor, you can safely delete those three lines from your `package.json`. Finally, you will need to install some packages *globally*: ```sh npm install -g eslint babel-eslint eslint-plugin-react eslint-plugin-import eslint-plugin-jsx-a11y eslint-plugin-flowtype ``` We recognize that this is suboptimal, but it is currently required due to the way we hide the ESLint dependency. The ESLint team is already [working on a solution to this](https://github.com/eslint/eslint/issues/3458) so this may become unnecessary in a couple of months. ## Installing a Dependency The generated project includes React and ReactDOM as dependencies. It also includes a set of scripts used by Create React App as a development dependency. You may install other dependencies (for example, React Router) with `npm`: ``` npm install --save <library-name> ``` ## Importing a Component This project setup supports ES6 modules thanks to Babel. While you can still use `require()` and `module.exports`, we encourage you to use [`import` and `export`](http://exploringjs.com/es6/ch_modules.html) instead. For example: ### `Button.js` ```js import React, { Component } from 'react'; class Button extends Component { render() { // ... } } export default Button; // Don’t forget to use export default! ``` ### `DangerButton.js` ```js import React, { Component } from 'react'; import Button from './Button'; // Import a component from another file class DangerButton extends Component { render() { return <Button color="red" />; } } export default DangerButton; ``` Be aware of the [difference between default and named exports](http://stackoverflow.com/questions/36795819/react-native-es-6-when-should-i-use-curly-braces-for-import/36796281#36796281). It is a common source of mistakes. We suggest that you stick to using default imports and exports when a module only exports a single thing (for example, a component). That’s what you get when you use `export default Button` and `import Button from './Button'`. Named exports are useful for utility modules that export several functions. A module may have at most one default export and as many named exports as you like. Learn more about ES6 modules: * [When to use the curly braces?](http://stackoverflow.com/questions/36795819/react-native-es-6-when-should-i-use-curly-braces-for-import/36796281#36796281) * [Exploring ES6: Modules](http://exploringjs.com/es6/ch_modules.html) * [Understanding ES6: Modules](https://leanpub.com/understandinges6/read#leanpub-auto-encapsulating-code-with-modules) ## Adding a Stylesheet This project setup uses [Webpack](https://webpack.github.io/) for handling all assets. Webpack offers a custom way of “extending” the concept of `import` beyond JavaScript. To express that a JavaScript file depends on a CSS file, you need to **import the CSS from the JavaScript file**: ### `Button.css` ```css .Button { padding: 20px; } ``` ### `Button.js` ```js import React, { Component } from 'react'; import './Button.css'; // Tell Webpack that Button.js uses these styles class Button extends Component { render() { // You can use them as regular CSS styles return <div className="Button" />; } } ``` **This is not required for React** but many people find this feature convenient. You can read about the benefits of this approach [here](https://medium.com/seek-ui-engineering/block-element-modifying-your-javascript-components-d7f99fcab52b). However you should be aware that this makes your code less portable to other build tools and environments than Webpack. In development, expressing dependencies this way allows your styles to be reloaded on the fly as you edit them. In production, all CSS files will be concatenated into a single minified `.css` file in the build output. If you are concerned about using Webpack-specific semantics, you can put all your CSS right into `src/index.css`. It would still be imported from `src/index.js`, but you could always remove that import if you later migrate to a different build tool. ## Post-Processing CSS This project setup minifies your CSS and adds vendor prefixes to it automatically through [Autoprefixer](https://github.com/postcss/autoprefixer) so you don’t need to worry about it. For example, this: ```css .App { display: flex; flex-direction: row; align-items: center; } ``` becomes this: ```css .App { display: -webkit-box; display: -ms-flexbox; display: flex; -webkit-box-orient: horizontal; -webkit-box-direction: normal; -ms-flex-direction: row; flex-direction: row; -webkit-box-align: center; -ms-flex-align: center; align-items: center; } ``` There is currently no support for preprocessors such as Less, or for sharing variables across CSS files. ## Adding Images and Fonts With Webpack, using static assets like images and fonts works similarly to CSS. You can **`import` an image right in a JavaScript module**. This tells Webpack to include that image in the bundle. Unlike CSS imports, importing an image or a font gives you a string value. This value is the final image path you can reference in your code. Here is an example: ```js import React from 'react'; import logo from './logo.png'; // Tell Webpack this JS file uses this image console.log(logo); // /logo.84287d09.png function Header() { // Import result is the URL of your image return <img src={logo} alt="Logo" />; } export default function Header; ``` This works in CSS too: ```css .Logo { background-image: url(./logo.png); } ``` Webpack finds all relative module references in CSS (they start with `./`) and replaces them with the final paths from the compiled bundle. If you make a typo or accidentally delete an important file, you will see a compilation error, just like when you import a non-existent JavaScript module. The final filenames in the compiled bundle are generated by Webpack from content hashes. If the file content changes in the future, Webpack will give it a different name in production so you don’t need to worry about long-term caching of assets. Please be advised that this is also a custom feature of Webpack. **It is not required for React** but many people enjoy it (and React Native uses a similar mechanism for images). However it may not be portable to some other environments, such as Node.js and Browserify. If you prefer to reference static assets in a more traditional way outside the module system, please let us know [in this issue](https://github.com/facebookincubator/create-react-app/issues/28), and we will consider support for this. ## Adding Bootstrap You don’t have to use [React Bootstrap](https://react-bootstrap.github.io) together with React but it is a popular library for integrating Bootstrap with React apps. If you need it, you can integrate it with Create React App by following these steps: Install React Bootstrap and Bootstrap from NPM. React Bootstrap does not include Bootstrap CSS so this needs to be installed as well: ``` npm install react-bootstrap --save npm install bootstrap@3 --save ``` Import Bootstrap CSS and optionally Bootstrap theme CSS in the ```src/index.js``` file: ```js import 'bootstrap/dist/css/bootstrap.css'; import 'bootstrap/dist/css/bootstrap-theme.css'; ``` Import required React Bootstrap components within ```src/App.js``` file or your custom component files: ```js import { Navbar, Jumbotron, Button } from 'react-bootstrap'; ``` Now you are ready to use the imported React Bootstrap components within your component hierarchy defined in the render method. Here is an example [`App.js`](https://gist.githubusercontent.com/gaearon/85d8c067f6af1e56277c82d19fd4da7b/raw/6158dd991b67284e9fc8d70b9d973efe87659d72/App.js) redone using React Bootstrap. ## Adding Flow Flow typing is currently [not supported out of the box](https://github.com/facebookincubator/create-react-app/issues/72) with the default `.flowconfig` generated by Flow. If you run it, you might get errors like this: ```js node_modules/fbjs/lib/Deferred.js.flow:60 60: Promise.prototype.done.apply(this._promise, arguments); ^^^^ property `done`. Property not found in 495: declare class Promise<+R> { ^ Promise. See lib: /private/tmp/flow/flowlib_34952d31/core.js:495 node_modules/fbjs/lib/shallowEqual.js.flow:29 29: return x !== 0 || 1 / (x: $FlowIssue) === 1 / (y: $FlowIssue); ^^^^^^^^^^ identifier `$FlowIssue`. Could not resolve name src/App.js:3 3: import logo from './logo.svg'; ^^^^^^^^^^^^ ./logo.svg. Required module not found src/App.js:4 4: import './App.css'; ^^^^^^^^^^^ ./App.css. Required module not found src/index.js:5 5: import './index.css'; ^^^^^^^^^^^^^ ./index.css. Required module not found ``` To fix this, change your `.flowconfig` to look like this: ```ini [libs] ./node_modules/fbjs/flow/lib [options] esproposal.class_static_fields=enable esproposal.class_instance_fields=enable module.name_mapper='^\(.*\)\.css$' -> 'react-scripts/config/flow/css' module.name_mapper='^\(.*\)\.\(jpg\|png\|gif\|eot\|otf\|webp\|svg\|ttf\|woff\|woff2\|mp4\|webm\)$' -> 'react-scripts/config/flow/file' suppress_type=$FlowIssue suppress_type=$FlowFixMe ``` Re-run flow, and you shouldn’t get any extra issues. If you later `eject`, you’ll need to replace `react-scripts` references with the `<PROJECT_ROOT>` placeholder, for example: ```ini module.name_mapper='^\(.*\)\.css$' -> '<PROJECT_ROOT>/config/flow/css' module.name_mapper='^\(.*\)\.\(jpg\|png\|gif\|eot\|otf\|webp\|svg\|ttf\|woff\|woff2\|mp4\|webm\)$' -> '<PROJECT_ROOT>/config/flow/file' ``` We will consider integrating more tightly with Flow in the future so that you don’t have to do this. ## Adding Custom Environment Variables >Note: this feature is available with `react-scripts@0.2.3` and higher. Your project can consume variables declared in your environment as if they were declared locally in your JS files. By default you will have `NODE_ENV` defined for you, and any other environment variables starting with `REACT_APP_`. These environment variables will be defined for you on `process.env`. For example, having an environment variable named `REACT_APP_SECRET_CODE` will be exposed in your JS as `process.env.REACT_APP_SECRET_CODE`, in addition to `process.env.NODE_ENV`. These environment variables can be useful for displaying information conditionally based on where the project is deployed or consuming sensitive data that lives outside of version control. First, you need to have environment variables defined, which can vary between OSes. For example, let's say you wanted to consume a secret defined in the environment inside a `<form>`: ```jsx render() { return ( <div> <small>You are running this application in <b>{process.env.NODE_ENV}</b> mode.</small> <form> <input type="hidden" defaultValue={process.env.REACT_APP_SECRET_CODE} /> </form> </div> ); } ``` The above form is looking for a variable called `REACT_APP_SECRET_CODE` from the environment. In order to consume this value, we need to have it defined in the environment: ### Windows (cmd.exe) ```cmd set REACT_APP_SECRET_CODE=abcdef&&npm start ``` (Note: the lack of whitespace is intentional.) ### Linux, OS X (Bash) ```bash REACT_APP_SECRET_CODE=abcdef npm start ``` > Note: Defining environment variables in this manner is temporary for the life of the shell session. Setting permanent environment variables is outside the scope of these docs. With our environment variable defined, we start the app and consume the values. Remember that the `NODE_ENV` variable will be set for you automatically. When you load the app in the browser and inspect the `<input>`, you will see its value set to `abcdef`, and the bold text will show the environment provided when using `npm start`: ```html <div> <small>You are running this application in <b>development</b> mode.</small> <form> <input type="hidden" value="abcdef" /> </form> </div> ``` Having access to the `NODE_ENV` is also useful for performing actions conditionally: ```js if (process.env.NODE_ENV !== 'production') { analytics.disable(); } ``` ## Integrating with a Node Backend Check out [this tutorial](https://www.fullstackreact.com/articles/using-create-react-app-with-a-server/) for instructions on integrating an app with a Node backend running on another port, and using `fetch()` to access it. You can find the companion GitHub repository [here](https://github.com/fullstackreact/food-lookup-demo). ## Proxying API Requests in Development >Note: this feature is available with `react-scripts@0.2.3` and higher. People often serve the front-end React app from the same host and port as their backend implementation. For example, a production setup might look like this after the app is deployed: ``` / - static server returns index.html with React app /todos - static server returns index.html with React app /api/todos - server handles any /api/* requests using the backend implementation ``` Such setup is **not** required. However, if you **do** have a setup like this, it is convenient to write requests like `fetch('/api/todos')` without worrying about redirecting them to another host or port during development. To tell the development server to proxy any unknown requests to your API server in development, add a `proxy` field to your `package.json`, for example: ```js "proxy": "http://localhost:4000", ``` This way, when you `fetch('/api/todos')` in development, the development server will recognize that it’s not a static asset, and will proxy your request to `http://localhost:4000/api/todos` as a fallback. Conveniently, this avoids [CORS issues](http://stackoverflow.com/questions/21854516/understanding-ajax-cors-and-security-considerations) and error messages like this in development: ``` Fetch API cannot load http://localhost:4000/api/todos. No 'Access-Control-Allow-Origin' header is present on the requested resource. Origin 'http://localhost:3000' is therefore not allowed access. If an opaque response serves your needs, set the request's mode to 'no-cors' to fetch the resource with CORS disabled. ``` Keep in mind that `proxy` only has effect in development (with `npm start`), and it is up to you to ensure that URLs like `/api/todos` point to the right thing in production. You don’t have to use the `/api` prefix. Any unrecognized request will be redirected to the specified `proxy`. Currently the `proxy` option only handles HTTP requests, and it won’t proxy WebSocket connections. If the `proxy` option is **not** flexible enough for you, alternatively you can: * Enable CORS on your server ([here’s how to do it for Express](http://enable-cors.org/server_expressjs.html)). * Use [environment variables](#adding-custom-environment-variables) to inject the right server host and port into your app. ## Deployment By default, Create React App produces a build assuming your app is hosted at the server root. To override this, specify the `homepage` in your `package.json`, for example: ```js "homepage": "http://mywebsite.com/relativepath", ``` This will let Create React App correctly infer the root path to use in the generated HTML file. ### Now See [this example](https://github.com/xkawi/create-react-app-now) for a zero-configuration single-command deployment with [now](https://zeit.co/now). ### Heroku Use the [Heroku Buildpack for Create React App](https://github.com/mars/create-react-app-buildpack). You can find instructions in [Deploying React with Zero Configuration](https://blog.heroku.com/deploying-react-with-zero-configuration). ### Surge Install the Surge CLI if you haven't already by running `npm install -g surge`. Run the `surge` command and log in you or create a new account. You just need to specify the *build* folder and your custom domain, and you are done. ```sh email: email@domain.com password: ******** project path: /path/to/project/build size: 7 files, 1.8 MB domain: create-react-app.surge.sh upload: [====================] 100%, eta: 0.0s propagate on CDN: [====================] 100% plan: Free users: email@domain.com IP Address: X.X.X.X Success! Project is published and running at create-react-app.surge.sh ``` Note that in order to support routers that use html5 `pushState` API, you may want to rename the `index.html` in your build folder to `200.html` before deploying to Surge. This [ensures that every URL falls back to that file](https://surge.sh/help/adding-a-200-page-for-client-side-routing). ### GitHub Pages >Note: this feature is available with `react-scripts@0.2.0` and higher. Open your `package.json` and add a `homepage` field: ```js "homepage": "http://myusername.github.io/my-app", ``` **The above step is important!** Create React App uses the `homepage` field to determine the root URL in the built HTML file. Now, whenever you run `npm run build`, you will see a cheat sheet with a sequence of commands to deploy to GitHub pages: ```sh git commit -am "Save local changes" git checkout -B gh-pages git add -f build git commit -am "Rebuild website" git filter-branch -f --prune-empty --subdirectory-filter build git push -f origin gh-pages git checkout - ``` You may copy and paste them, or put them into a custom shell script. You may also customize them for another hosting provider. Note that GitHub Pages doesn't support routers that use the HTML5 `pushState` history API under the hood (for example, React Router using `browserHistory`). This is because when there is a fresh page load for a url like `http://user.github.io/todomvc/todos/42`, where `/todos/42` is a frontend route, the GitHub Pages server returns 404 because it knows nothing of `/todos/42`. If you want to add a router to a project hosted on GitHub Pages, here are a couple of solutions: * You could switch from using HTML5 history API to routing with hashes. If you use React Router, you can switch to `hashHistory` for this effect, but the URL will be longer and more verbose (for example, `http://user.github.io/todomvc/#/todos/42?_k=yknaj`). [Read more](https://github.com/reactjs/react-router/blob/master/docs/guides/Histories.md#histories) about different history implementations in React Router. * Alternatively, you can use a trick to teach GitHub Pages to handle 404 by redirecting to your `index.html` page with a special redirect parameter. You would need to add a `404.html` file with the redirection code to the `build` folder before deploying your project, and you’ll need to add code handling the redirect parameter to `index.html`. You can find a detailed explanation of this technique [in this guide](https://github.com/rafrex/spa-github-pages). ## Something Missing? If you have ideas for more “How To” recipes that should be on this page, [let us know](https://github.com/facebookincubator/create-react-app/issues) or [contribute some!](https://github.com/facebookincubator/create-react-app/edit/master/template/README.md)
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role="menuitem" class="dropdown-item" href="/new" data-ga-click="Header, create new repository"> New repository </a> <a role="menuitem" class="dropdown-item" href="/new/import" data-ga-click="Header, import a repository"> Import repository </a> <a role="menuitem" class="dropdown-item" href="https://gist.github.com/" data-ga-click="Header, create new gist"> New gist </a> <a role="menuitem" class="dropdown-item" href="/organizations/new" data-ga-click="Header, create new organization"> New organization </a> <div class="dropdown-divider"></div> <div class="dropdown-header"> <span title="Alvin9999/new-pac">This repository</span> </div> <a role="menuitem" class="dropdown-item" href="/Alvin9999/new-pac/issues/new" data-ga-click="Header, create new issue"> New issue </a> </details-menu> </details> </li> <li class="dropdown"> <a class="d-lg-none HeaderNavlink name tooltipped tooltipped-sw px-lg-2 py-2 py-lg-0" href="/p4g5" aria-label="View profile and more" aria-expanded="false" aria-haspopup="false"> <img alt="@p4g5" class="avatar float-left mr-1" src="https://avatars2.githubusercontent.com/u/47923458?s=40&v=4" height="20" width="20"> <span class="text-bold">p4g5</span> </a> <details class="details-overlay details-reset d-none d-lg-flex pl-lg-2 py-2 py-lg-0 flex-items-center"> <summary class="HeaderNavlink name mt-1" aria-label="View profile and more" data-ga-click="Header, show menu, icon:avatar"> <img alt="@p4g5" class="avatar float-left mr-1" src="https://avatars2.githubusercontent.com/u/47923458?s=40&v=4" height="20" width="20"> <span class="dropdown-caret"></span> </summary> <details-menu class="dropdown-menu dropdown-menu-sw"> <div class="header-nav-current-user css-truncate"><a role="menuitem" class="no-underline user-profile-link px-3 pt-2 pb-2 mb-n2 mt-n1 d-block" href="/p4g5" data-ga-click="Header, go to profile, text:Signed in as">Signed in as <strong class="css-truncate-target">p4g5</strong></a></div> <div role="none" class="dropdown-divider"></div> <div class="px-3 f6 user-status-container js-user-status-context pb-1" data-url="/users/status?compact=1&link_mentions=0&truncate=1"> <div class="js-user-status-container user-status-compact" data-team-hovercards-enabled> <details class="js-user-status-details details-reset details-overlay details-overlay-dark"> <summary class="btn-link no-underline js-toggle-user-status-edit toggle-user-status-edit width-full" aria-haspopup="dialog" role="menuitem" data-hydro-click="{"event_type":"user_profile.click","payload":{"profile_user_id":12132898,"target":"EDIT_USER_STATUS","user_id":47923458,"client_id":"1815209117.1550905425","originating_request_id":"818C:75AC:15C5D83:291B1C2:5C7218B8","originating_url":"https://github.com/Alvin9999/new-pac/wiki"}}" data-hydro-click-hmac="ced5050557a7bdc853d992aa928100040ac79be23fc4cb6ea21f7760d65c248f"> <div class="f6 d-inline-block v-align-middle user-status-emoji-only-header pl-0 circle lh-condensed user-status-header " style="max-width: 29px"> <div class="user-status-emoji-container flex-shrink-0 mr-1"> <svg class="octicon octicon-smiley" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8s3.58 8 8 8 8-3.58 8-8-3.58-8-8-8zm4.81 12.81a6.72 6.72 0 0 1-2.17 1.45c-.83.36-1.72.53-2.64.53-.92 0-1.81-.17-2.64-.53-.81-.34-1.55-.83-2.17-1.45a6.773 6.773 0 0 1-1.45-2.17A6.59 6.59 0 0 1 1.21 8c0-.92.17-1.81.53-2.64.34-.81.83-1.55 1.45-2.17.62-.62 1.36-1.11 2.17-1.45A6.59 6.59 0 0 1 8 1.21c.92 0 1.81.17 2.64.53.81.34 1.55.83 2.17 1.45.62.62 1.11 1.36 1.45 2.17.36.83.53 1.72.53 2.64 0 .92-.17 1.81-.53 2.64-.34.81-.83 1.55-1.45 2.17zM4 6.8v-.59c0-.66.53-1.19 1.2-1.19h.59c.66 0 1.19.53 1.19 1.19v.59c0 .67-.53 1.2-1.19 1.2H5.2C4.53 8 4 7.47 4 6.8zm5 0v-.59c0-.66.53-1.19 1.2-1.19h.59c.66 0 1.19.53 1.19 1.19v.59c0 .67-.53 1.2-1.19 1.2h-.59C9.53 8 9 7.47 9 6.8zm4 3.2c-.72 1.88-2.91 3-5 3s-4.28-1.13-5-3c-.14-.39.23-1 .66-1h8.59c.41 0 .89.61.75 1z"/></svg> </div> </div> <div class="d-inline-block v-align-middle user-status-message-wrapper f6 lh-condensed ws-normal pt-1"> <span class="link-gray">Set your status</span> </div> </summary> <details-dialog class="details-dialog rounded-1 anim-fade-in fast Box Box--overlay" role="dialog" tabindex="-1"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="position-relative flex-auto js-user-status-form" action="/users/status?compact=1&link_mentions=0&truncate=1" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" /><input type="hidden" name="_method" value="put" /><input type="hidden" name="authenticity_token" value="UhUocX8QxRCQfi0VVq50V8DOQgt0VtegaH303QE9m8PCCEjaixc+T4i9Uc+Hu37cMb2xXx4TolEIzX4hl4y0uw==" /> <div class="Box-header bg-gray border-bottom p-3"> <button class="Box-btn-octicon js-toggle-user-status-edit btn-octicon float-right" type="reset" aria-label="Close dialog" data-close-dialog> <svg class="octicon octicon-x" viewBox="0 0 12 16" version="1.1" width="12" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.48 8l3.75 3.75-1.48 1.48L6 9.48l-3.75 3.75-1.48-1.48L4.52 8 .77 4.25l1.48-1.48L6 6.52l3.75-3.75 1.48 1.48L7.48 8z"/></svg> </button> <h3 class="Box-title f5 text-bold text-gray-dark">Edit status</h3> </div> <input type="hidden" name="emoji" class="js-user-status-emoji-field" value=""> <input type="hidden" name="organization_id" class="js-user-status-org-id-field" value=""> <div class="px-3 py-2 text-gray-dark"> <div class="js-characters-remaining-container js-suggester-container position-relative mt-2"> <div class="input-group d-table form-group my-0 js-user-status-form-group"> <span class="input-group-button d-table-cell v-align-middle" style="width: 1%"> <button type="button" aria-label="Choose an emoji" class="btn-outline btn js-toggle-user-status-emoji-picker bg-white btn-open-emoji-picker"> <span class="js-user-status-original-emoji" hidden></span> <span class="js-user-status-custom-emoji"></span> <span class="js-user-status-no-emoji-icon" > <svg class="octicon octicon-smiley" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8s3.58 8 8 8 8-3.58 8-8-3.58-8-8-8zm4.81 12.81a6.72 6.72 0 0 1-2.17 1.45c-.83.36-1.72.53-2.64.53-.92 0-1.81-.17-2.64-.53-.81-.34-1.55-.83-2.17-1.45a6.773 6.773 0 0 1-1.45-2.17A6.59 6.59 0 0 1 1.21 8c0-.92.17-1.81.53-2.64.34-.81.83-1.55 1.45-2.17.62-.62 1.36-1.11 2.17-1.45A6.59 6.59 0 0 1 8 1.21c.92 0 1.81.17 2.64.53.81.34 1.55.83 2.17 1.45.62.62 1.11 1.36 1.45 2.17.36.83.53 1.72.53 2.64 0 .92-.17 1.81-.53 2.64-.34.81-.83 1.55-1.45 2.17zM4 6.8v-.59c0-.66.53-1.19 1.2-1.19h.59c.66 0 1.19.53 1.19 1.19v.59c0 .67-.53 1.2-1.19 1.2H5.2C4.53 8 4 7.47 4 6.8zm5 0v-.59c0-.66.53-1.19 1.2-1.19h.59c.66 0 1.19.53 1.19 1.19v.59c0 .67-.53 1.2-1.19 1.2h-.59C9.53 8 9 7.47 9 6.8zm4 3.2c-.72 1.88-2.91 3-5 3s-4.28-1.13-5-3c-.14-.39.23-1 .66-1h8.59c.41 0 .89.61.75 1z"/></svg> </span> </button> </span> <input type="text" autocomplete="off" autofocus data-maxlength="80" class="js-suggester-field d-table-cell width-full form-control js-user-status-message-field js-characters-remaining-field" placeholder="What's happening?" name="message" required value="" aria-label="What is your current status?"> <div class="error">Could not update your status, please try again.</div> </div> <div class="suggester-container"> <div class="suggester js-suggester js-navigation-container" data-url="/autocomplete/user-suggestions" data-no-org-url="/autocomplete/user-suggestions" data-org-url="/suggestions" hidden> </div> </div> <div style="margin-left: 53px" class="my-1 text-small label-characters-remaining js-characters-remaining" data-suffix="remaining" hidden> 80 remaining </div> </div> <include-fragment class="js-user-status-emoji-picker" data-url="/users/status/emoji"></include-fragment> <div class="overflow-auto" style="max-height: 33vh"> <div class="user-status-suggestions js-user-status-suggestions"> <h4 class="f6 text-normal my-3">Suggestions:</h4> <div class="mx-3 mt-2 clearfix"> <div class="float-left col-6"> <button type="button" value=":palm_tree:" class="d-flex flex-items-baseline flex-items-stretch lh-condensed f6 btn-link link-gray no-underline js-predefined-user-status mb-1"> <div class="emoji-status-width mr-2 v-align-middle js-predefined-user-status-emoji"> <g-emoji alias="palm_tree" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/1f334.png">🌴</g-emoji> </div> <div class="d-flex flex-items-center no-underline js-predefined-user-status-message" style="border-left: 1px solid transparent"> On vacation </div> </button> <button type="button" value=":face_with_thermometer:" class="d-flex flex-items-baseline flex-items-stretch lh-condensed f6 btn-link link-gray no-underline js-predefined-user-status mb-1"> <div class="emoji-status-width mr-2 v-align-middle js-predefined-user-status-emoji"> <g-emoji alias="face_with_thermometer" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/1f912.png">🤒</g-emoji> </div> <div class="d-flex flex-items-center no-underline js-predefined-user-status-message" style="border-left: 1px solid transparent"> Out sick </div> </button> </div> <div class="float-left col-6"> <button type="button" value=":house:" class="d-flex flex-items-baseline flex-items-stretch lh-condensed f6 btn-link link-gray no-underline js-predefined-user-status mb-1"> <div class="emoji-status-width mr-2 v-align-middle js-predefined-user-status-emoji"> <g-emoji alias="house" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/1f3e0.png">🏠</g-emoji> </div> <div class="d-flex flex-items-center no-underline js-predefined-user-status-message" style="border-left: 1px solid transparent"> Working from home </div> </button> <button type="button" value=":dart:" class="d-flex flex-items-baseline flex-items-stretch lh-condensed f6 btn-link link-gray no-underline js-predefined-user-status mb-1"> <div class="emoji-status-width mr-2 v-align-middle js-predefined-user-status-emoji"> <g-emoji alias="dart" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/1f3af.png">🎯</g-emoji> </div> <div class="d-flex flex-items-center no-underline js-predefined-user-status-message" style="border-left: 1px solid transparent"> Focusing </div> </button> </div> </div> </div> <div class="user-status-limited-availability-container"> <div class="form-checkbox my-0"> <input type="checkbox" name="limited_availability" value="1" class="js-user-status-limited-availability-checkbox" data-default-message="I may be slow to respond." aria-describedby="limited-availability-help-text-truncate-true" id="limited-availability-truncate-true"> <label class="d-block f5 text-gray-dark mb-1" for="limited-availability-truncate-true"> Busy </label> <p class="note" id="limited-availability-help-text-truncate-true"> When others mention you, assign you, or request your review, GitHub will let them know that you have limited availability. </p> </div> </div> </div> <include-fragment class="js-user-status-org-picker" data-url="/users/status/organizations"></include-fragment> </div> <div class="d-flex flex-items-center flex-justify-between p-3 border-top"> <button type="submit" disabled class="width-full btn btn-primary mr-2 js-user-status-submit"> Set status </button> <button type="button" disabled class="width-full js-clear-user-status-button btn ml-2 "> Clear status </button> </div> </form> </details-dialog> </details> </div> </div> <div role="none" class="dropdown-divider"></div> <a role="menuitem" class="dropdown-item" href="/p4g5" data-ga-click="Header, go to profile, text:your profile">Your profile</a> <a role="menuitem" class="dropdown-item" href="/p4g5?tab=repositories" data-ga-click="Header, go to repositories, text:your repositories">Your repositories</a> <a role="menuitem" class="dropdown-item" href="/p4g5?tab=projects" data-ga-click="Header, go to projects, text:your projects">Your projects</a> <a role="menuitem" class="dropdown-item" href="/p4g5?tab=stars" data-ga-click="Header, go to starred repos, text:your stars">Your stars</a> <a role="menuitem" class="dropdown-item" href="https://gist.github.com/" data-ga-click="Header, your gists, text:your gists">Your gists</a> <div role="none" class="dropdown-divider"></div> <a role="menuitem" class="dropdown-item" href="https://help.github.com" data-ga-click="Header, go to help, text:help">Help</a> <a role="menuitem" class="dropdown-item" href="/settings/profile" data-ga-click="Header, go to settings, icon:settings">Settings</a> <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="logout-form" action="/logout" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" /><input type="hidden" name="authenticity_token" value="Y8HcCFJNTD+hYd7Kv9FtT+Xxj7WUTAFihH0C9cLChd+JHtM9aCiGPnCGrrkcg/KpMKG0LJm8JbL5T2kPHqYNjQ==" /> <button type="submit" class="dropdown-item dropdown-signout" data-ga-click="Header, sign out, icon:logout" role="menuitem"> Sign out </button> </form> </details-menu> </details> </li> </ul> <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="d-lg-none" action="/logout" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" /><input type="hidden" name="authenticity_token" value="oluBBaw9qfMJXUP8GdR5bZc9/Gw7dMAE2fQ5JlOw2OBIhI4wllhj8ti6M4+6huaLQm3H9TaE5NSkxlLcj9RQsg==" /> <button type="submit" class="btn-link HeaderNavlink d-block width-full text-left py-2 text-bold" data-ga-click="Header, sign out, icon:logout" style="padding-left: 2px;"> <svg class="octicon octicon-sign-out v-align-middle" style="margin-right: 2px;" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M12 9V7H8V5h4V3l4 3-4 3zm-2 3H6V3L2 1h8v3h1V1c0-.55-.45-1-1-1H1C.45 0 0 .45 0 1v11.38c0 .39.22.73.55.91L6 16.01V13h4c.55 0 1-.45 1-1V8h-1v4z"/></svg> Sign out </button> </form> <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="sr-only right-0" action="/logout" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" /><input type="hidden" name="authenticity_token" value="b0Bgz4mqScE7zq0QVm08tZv5z1OzCVx+ozCI3NlInJaFn2/6s8+DwOop3WP1P6NTTqn0yr75eK7eAuMmBSwUxA==" /> <button type="submit" class="dropdown-item dropdown-signout" data-ga-click="Header, sign out, icon:logout"> Sign out </button> </form> </div> </div> </div> </header> </div> <div id="start-of-content" class="show-on-focus"></div> <div id="js-flash-container"> </div> <div role="main" class="application-main " data-commit-hovercards-enabled> <div itemscope itemtype="http://schema.org/SoftwareSourceCode" class=""> <div > <div class="pagehead repohead instapaper_ignore readability-menu experiment-repo-nav pt-0 pt-lg-3 "> <div class="repohead-details-container clearfix container-lg p-responsive d-none d-lg-block"> <ul class="pagehead-actions"> <li> <!-- '"` --><!-- </textarea></xmp> --></option></form><form data-remote="true" class="js-social-form js-social-container" action="/notifications/subscribe" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" /><input type="hidden" name="authenticity_token" value="KK6/k23EkvBozTQwWgEA5FH8ZX5XVrBLzcGpR4JinAhq7/tIjemrK8lhd0do997jcIFVbSagHOTaRJTrAyLvEQ==" /> <input type="hidden" name="repository_id" id="repository_id" value="54544023" class="form-control" /> <details class="details-reset details-overlay select-menu float-left"> <summary class="btn btn-sm btn-with-count select-menu-button" data-ga-click="Repository, click Watch settings, action:wiki#index"> <span data-menu-button> <svg class="octicon octicon-eye v-align-text-bottom" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.06 2C3 2 0 8 0 8s3 6 8.06 6C13 14 16 8 16 8s-3-6-7.94-6zM8 12c-2.2 0-4-1.78-4-4 0-2.2 1.8-4 4-4 2.22 0 4 1.8 4 4 0 2.22-1.78 4-4 4zm2-4c0 1.11-.89 2-2 2-1.11 0-2-.89-2-2 0-1.11.89-2 2-2 1.11 0 2 .89 2 2z"/></svg> Watch </span> </summary> <details-menu class="select-menu-modal position-absolute mt-5" style="z-index: 99;"> <div class="select-menu-header"> <span class="select-menu-title">Notifications</span> </div> <div class="select-menu-list"> <button type="submit" name="do" value="included" class="select-menu-item width-full" aria-checked="true" role="menuitemradio"> <svg class="octicon octicon-check select-menu-item-icon" viewBox="0 0 12 16" version="1.1" width="12" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M12 5l-8 8-4-4 1.5-1.5L4 10l6.5-6.5L12 5z"/></svg> <div class="select-menu-item-text"> <span class="select-menu-item-heading">Not watching</span> <span class="description">Be notified only when participating or @mentioned.</span> <span class="hidden-select-button-text" data-menu-button-contents> <svg class="octicon octicon-eye v-align-text-bottom" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.06 2C3 2 0 8 0 8s3 6 8.06 6C13 14 16 8 16 8s-3-6-7.94-6zM8 12c-2.2 0-4-1.78-4-4 0-2.2 1.8-4 4-4 2.22 0 4 1.8 4 4 0 2.22-1.78 4-4 4zm2-4c0 1.11-.89 2-2 2-1.11 0-2-.89-2-2 0-1.11.89-2 2-2 1.11 0 2 .89 2 2z"/></svg> Watch </span> </div> </button> <button type="submit" name="do" value="release_only" class="select-menu-item width-full" aria-checked="false" role="menuitemradio"> <svg class="octicon octicon-check select-menu-item-icon" viewBox="0 0 12 16" version="1.1" width="12" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M12 5l-8 8-4-4 1.5-1.5L4 10l6.5-6.5L12 5z"/></svg> <div class="select-menu-item-text"> <span class="select-menu-item-heading">Releases only</span> <span class="description">Be notified of new releases, and when participating or @mentioned.</span> <span class="hidden-select-button-text" data-menu-button-contents> <svg class="octicon octicon-eye v-align-text-bottom" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.06 2C3 2 0 8 0 8s3 6 8.06 6C13 14 16 8 16 8s-3-6-7.94-6zM8 12c-2.2 0-4-1.78-4-4 0-2.2 1.8-4 4-4 2.22 0 4 1.8 4 4 0 2.22-1.78 4-4 4zm2-4c0 1.11-.89 2-2 2-1.11 0-2-.89-2-2 0-1.11.89-2 2-2 1.11 0 2 .89 2 2z"/></svg> Unwatch releases </span> </div> </button> <button type="submit" name="do" value="subscribed" class="select-menu-item width-full" aria-checked="false" role="menuitemradio"> <svg class="octicon octicon-check select-menu-item-icon" viewBox="0 0 12 16" version="1.1" width="12" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M12 5l-8 8-4-4 1.5-1.5L4 10l6.5-6.5L12 5z"/></svg> <div class="select-menu-item-text"> <span class="select-menu-item-heading">Watching</span> <span class="description">Be notified of all conversations.</span> <span class="hidden-select-button-text" data-menu-button-contents> <svg class="octicon octicon-eye v-align-text-bottom" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.06 2C3 2 0 8 0 8s3 6 8.06 6C13 14 16 8 16 8s-3-6-7.94-6zM8 12c-2.2 0-4-1.78-4-4 0-2.2 1.8-4 4-4 2.22 0 4 1.8 4 4 0 2.22-1.78 4-4 4zm2-4c0 1.11-.89 2-2 2-1.11 0-2-.89-2-2 0-1.11.89-2 2-2 1.11 0 2 .89 2 2z"/></svg> Unwatch </span> </div> </button> <button type="submit" name="do" value="ignore" class="select-menu-item width-full" aria-checked="false" role="menuitemradio"> <svg class="octicon octicon-check select-menu-item-icon" viewBox="0 0 12 16" version="1.1" width="12" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M12 5l-8 8-4-4 1.5-1.5L4 10l6.5-6.5L12 5z"/></svg> <div class="select-menu-item-text"> <span class="select-menu-item-heading">Ignoring</span> <span class="description">Never be notified.</span> <span class="hidden-select-button-text" data-menu-button-contents> <svg class="octicon octicon-mute v-align-text-bottom" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8 2.81v10.38c0 .67-.81 1-1.28.53L3 10H1c-.55 0-1-.45-1-1V7c0-.55.45-1 1-1h2l3.72-3.72C7.19 1.81 8 2.14 8 2.81zm7.53 3.22l-1.06-1.06-1.97 1.97-1.97-1.97-1.06 1.06L11.44 8 9.47 9.97l1.06 1.06 1.97-1.97 1.97 1.97 1.06-1.06L13.56 8l1.97-1.97z"/></svg> Stop ignoring </span> </div> </button> </div> </details-menu> </details> <a class="social-count js-social-count" href="/Alvin9999/new-pac/watchers" aria-label="885 users are watching this repository"> 885 </a> </form> </li> <li> <div class="js-toggler-container js-social-container starring-container "> <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="starred js-social-form" action="/Alvin9999/new-pac/unstar" accept-charset="UTF-8" method="post"><input name="utf8" type="hidden" value="✓" /><input type="hidden" name="authenticity_token" value="GTo3eO2YhEo8L7lENMkL+RSLnBTchg9YTdhcTMAWPQx/JBU/tuW7iAaYUuM24agiYdiJviImlX0ddi4rMZdncg==" /> <input 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class="container-lg new-discussion-timeline experiment-repo-nav p-responsive"> <div class="repository-content "> <div id="wiki-wrapper" class="page"> <div class="d-flex flex-column flex-md-row gh-header"> <h1 class="flex-auto min-width-0 mb-2 mb-md-0 mr-0 mr-md-2 gh-header-title instapaper_title">Home</h1> <div class="mt-0 mt-lg-1 flex-shrink-0 gh-header-actions"> <a href="#wiki-pages-box" class="d-md-none ">Jump to bottom</a> </div> </div> <div class="mt-2 mt-md-1 pb-3 gh-header-meta"> 自由上网 edited this page <relative-time datetime="2019-02-19T14:44:48Z">Feb 19, 2019</relative-time> · <a href="/Alvin9999/new-pac/wiki/Home/_history" class="muted-link"> 1061 revisions </a> </div> <div id="wiki-content" class="d-flex flex-column flex-md-row"> <div id="wiki-body" class="mt-4 flex-auto min-width-0 gollum-markdown-content instapaper_body"> <div class="markdown-body"> <h3> <a id="user-content-自由上网方法" class="anchor" href="#%E8%87%AA%E7%94%B1%E4%B8%8A%E7%BD%91%E6%96%B9%E6%B3%95" aria-hidden="true"><svg class="octicon octicon-link" viewbox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong>自由上网方法</strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong> </h3> <pre><code> 一键翻墙浏览器 </code></pre> <p>永久免费。不用安装，无需设置，解压后使用。稳定、流畅、高速，长期更新。</p> <p><img src="https://raw.githubusercontent.com/Alvin9999/pac2/master/%E5%9B%BE%E6%A0%87.PNG" alt=""></p> <p><strong>介绍</strong>：GoProxy ipv6版、GoAgent ipv6版、v2ray版、SSR版、赛风版、WuJie版、FreeGate版、SkyZip版，适合windows操作系统，比如：Xp、win7、win8、win10系统。浏览器自带翻译插件和YouTube视频下载脚本，方便且实用。压缩包文件的格式是7z，如果解压出错，用7解压软件来解压（<a href="https://sparanoid.com/lab/7z/" rel="nofollow">7z解压软件下载地址</a>）。</p> <p><strong>注意</strong>：软件都是采用加密方式的，但为了更稳定、更安全的翻墙，建议卸载国产杀毒软件，至少翻墙时不要用它们！因为很多国产杀毒软件，比如360安全卫生、360杀毒软件、腾讯管家、金山卫士等不仅仅会起干扰作用，造成软件无法正常使用或速度变慢，它们与防火墙还有千丝万缕的关系!其实win10自带的defender就有杀毒的功能，如果还需要安全软件，可以用国外的杀毒软件<a href="http://files.avast.com/iavs9x/avast_free_antivirus_setup_offline.exe" rel="nofollow">avast</a>，防火墙<a href="https://github.com/henrypp/simplewall/releases/download/v.2.3.4/simplewall-2.3.4-setup.exe">simplewall</a>，还有清理软件<a href="http://downloads.wisecleaner.com/soft/WiseCare365.exe" rel="nofollow">wisecare365</a>。它们都是免费的，而且不会干扰电脑运行。</p> <p><strong>选择指南</strong>：有GoProxy ipv6版、GoAgent ipv6版、v2ray版、SSR版、赛风版、WuJie版、FreeGate版、SkyZip版,可以按照顺序依次尝试。由于国内网络环境不同、地区不同，封锁强度会不同，所以使用效果会有差别，有的地区几乎所有的软件都能使用，有的只能用几款，因此具体哪款软件适合你的网络环境，需要你自己来尝试。内存低于2G的电脑建议用<a href="https://github.com/Alvin9999/new-pac/wiki/%E7%81%AB%E7%8B%90%E7%BF%BB%E5%A2%99%E6%B5%8F%E8%A7%88%E5%99%A8">火狐翻墙浏览器</a>。还有<a href="https://github.com/Alvin9999/new-pac/wiki/%E7%9B%B4%E7%BF%BB%E9%80%9A%E9%81%93">直翻通道</a>可供选择，电脑、手机、平板都能使用。如果想自己搭建翻墙服务器，可以学习<a href="https://github.com/Alvin9999/new-pac/wiki/%E8%87%AA%E5%BB%BAss%E6%9C%8D%E5%8A%A1%E5%99%A8%E6%95%99%E7%A8%8B">自建ss/ssr服务器教程</a>或<a href="https://github.com/Alvin9999/new-pac/wiki/%E8%87%AA%E5%BB%BAv2ray%E6%9C%8D%E5%8A%A1%E5%99%A8%E6%95%99%E7%A8%8B">自建v2ray服务器教程</a>。</p> <p><strong>2018年6月6日</strong>：发布<a href="https://gitlab.com/Alvin9999/free/wikis/home" rel="nofollow">备用项目地址</a> 。</p> <p><strong>2019年1月18日公告</strong>：ipv6版国内大多数地区已失效，如果你无法使用ipv6版，请更换其它类型的软件。</p> <p><strong>推荐YouTube视频频道</strong>：<a href="https://www.youtube.com/channel/UCa6ERCDt3GzkvLye32ar89w/videos" rel="nofollow">历史上的今天</a> <a href="https://www.youtube.com/channel/UCtAIPjABiQD3qjlEl1T5VpA/featured" rel="nofollow">文昭談古論今</a></p> <hr> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E9%AB%98%E5%86%85%E6%A0%B8%E7%89%88">谷歌浏览器69高内核版</a> （2019年2月16日更新无界版本至19.02,更新自由门版本至7.66）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/ipv6%E5%BC%80%E5%90%AF%E6%96%B9%E6%B3%95">ipv6开启方法</a> （2018年6月22日更新方法）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/GoAgent-ipv6%E7%89%88">谷歌浏览器低内核GoAgent ipv6版</a> （2018年12月20日云端更新GoAgent ipv6）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/v2ray%E7%89%88">谷歌浏览器低内核v2ray版</a> （2018年12月27日云端更新v2ray配置信息）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/SSR%E7%89%88">谷歌浏览器低内核SSR版</a> （2018年9月23日更新版本）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E8%B5%9B%E9%A3%8E%E7%89%88">谷歌浏览器低内核赛风版</a> （2018年9月23日更新版本）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/FreeGate%E5%92%8CWuJie%E7%89%88">谷歌浏览器低内核FreeGate和WuJie版</a>（2019年2月16日更新无界版本至19.02,更新自由门版本至7.66）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/SkyZip%E7%89%88">谷歌浏览器低内核SkyZip版</a>（2018年9月23日更新版本）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/GoProxy-ipv6%E7%89%88">谷歌浏览器低内核GoProxy ipv6版</a> （2018年9月23日更新版本）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E7%81%AB%E7%8B%90%E7%BF%BB%E5%A2%99%E6%B5%8F%E8%A7%88%E5%99%A8">火狐翻墙浏览器</a>（2019年2月16日更新无界版本至19.02,更新自由门版本至7.66）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E7%9B%B4%E7%BF%BB%E9%80%9A%E9%81%93">直翻通道</a> （2018年1月31日更新）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E8%B0%B7%E6%AD%8C%E9%95%9C%E5%83%8F">谷歌镜像</a> （2018年10月28日更新）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E8%87%AA%E5%BB%BAss%E6%9C%8D%E5%8A%A1%E5%99%A8%E6%95%99%E7%A8%8B">自建SS/SSR服务器教程</a> （2018年11月21日增加SS/SSR部署备用脚本）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E8%87%AA%E5%BB%BAv2ray%E6%9C%8D%E5%8A%A1%E5%99%A8%E6%95%99%E7%A8%8B">自建v2ray服务器教程</a> （2019年2月11日更新一键部署v2ray脚本）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E5%AE%89%E5%8D%93%E6%89%8B%E6%9C%BA%E7%89%88">安卓手机版</a>（2018年6月24日更新聚缘阁安卓版）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E8%8B%B9%E6%9E%9C%E6%89%8B%E6%9C%BA%E7%BF%BB%E5%A2%99%E8%BD%AF%E4%BB%B6">苹果手机翻墙方法</a>（2018年2月24日更新）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E8%8B%B9%E6%9E%9C%E7%94%B5%E8%84%91MAC%E7%BF%BB%E5%A2%99%E8%BD%AF%E4%BB%B6">MAC翻墙方法</a>（2017年12月25日删除无效方法）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E5%B9%B3%E6%9D%BF%E7%94%B5%E8%84%91%E7%BF%BB%E5%A2%99%E8%BD%AF%E4%BB%B6">平板电脑翻墙方法</a>（2018年2月4日更新）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/Linux%E7%B3%BB%E7%BB%9F%E7%BF%BB%E5%A2%99%E6%96%B9%E6%B3%95">Linux系统翻墙方法</a> （2018年5月30日增加Linux SSR 使用方法二）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/YouTube%E4%B8%8B%E8%BD%BD1080%E6%95%99%E7%A8%8B">YouTube下载1080教程</a> （2018年11月25日发布）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E5%AE%9E%E7%94%A8%E7%BD%91%E7%BB%9C%E5%B0%8F%E7%9F%A5%E8%AF%86">实用网络小知识</a> （2018年4月26日更新）</p> <p><a href="https://github.com/Alvin9999/new-pac/wiki/%E6%95%B0%E5%AD%97%E5%AE%89%E5%85%A8%E6%89%8B%E5%86%8C">数字安全手册</a> （推荐两本关于网络安全的书籍）</p> <hr> <p>真心希望大家都能够突破网络封锁、获得真相，祝愿每位善良的人都能拥有一个美好的未来。</p> <p>2019年神韵晚会超清预告片<a href="http://108.61.224.82:8000/f/ddd18239a6/" rel="nofollow">在线观看或下载</a></p> <p><img src="https://raw.githubusercontent.com/Alvin9999/pac2/master/shenyun003.jpg" alt=""></p> <p><img src="https://raw.githubusercontent.com/Alvin9999/pac2/master/1.JPG" alt=""></p> <p><img src="https://raw.githubusercontent.com/Alvin9999/pac2/master/2.JPG" alt=""></p> <hr> <p>有问题可以发帖<a href="https://github.com/Alvin9999/new-pac/issues">反馈交流</a>，或者发邮件到海外邮箱<a href="mailto:kebi2014@gmail.com">kebi2014@gmail.com</a>进行反馈，反馈邮件标题最好注明什么软件及截图。</p> </div> </div> <div id="wiki-rightbar" class="mt-4 ml-md-6 flex-shrink-0 width-full wiki-rightbar"> <div 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cubewise-code / Tm1py SamplesDo more with TM1 with these ready to use TM1py samples.
Otutu11 / Milestone Achievement ForecastMilestone-Achievement-Forecast is a predictive analytics tool that tracks project progress, evaluates performance indicators, and forecasts milestone completion. It enables proactive planning, risk management, and resource optimization for achieving goals on time and with measurable accuracy.
SAP-samples / Btp AI Sustainability BootcampThis github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
kingsley0107 / Streetview Images Crawler🐍a repo for crawling online streetview images for planning, urban big data, spatial-temporal data analytics
cubewise-code / MdxpyA simple, yet elegant MDX library for TM1
ChenZuii / UrbanMatrixComprehensive AI-powered urban development optimization platform that combines deep learning and reinforcement learning for data-driven business analytics in urban planning and real estate development.
Beckybams / AI Powered Agroforestry Planning AI-Powered Agroforestry Planning uses machine learning and data analytics to design sustainable tree–crop systems. By analyzing soil, climate, and land data, it recommends optimal agroforestry combinations, improving productivity, biodiversity, and climate resilience while supporting smart data.
Ilyushin / EconomicIntelligenceThe project focused on the use of public data to assess the economic situation in the country based on the state of the stock market and national means of payment, in particular - of the national currency. As sources are used: Open data Ministry of Finance of the Russian Federation These Moscow Exchange Google Finance Data Technologies used: Backend: Databases (relational) - Microsoft SQL Server 2014 Databases (multivariate) models DataMining, OLAP-cube - Microsoft Analysis Services 12.0 Веб-сервер - Windows Server 2012 / Internet Information Services Самописный ASP.NET HTTP Restful интерфейс для взаимодействия с Frontend ETL (загрузка и пре-процессинг данных, управление обновлением данных) SQL Server Integration Services 2014 (разработка в Visual Studio 2013, SSDT) Frontend: AngularJS ChartJS Twitter Bootstrap These were chosen so that the detail (granularity) in the set is not less than 1 day. The result has been created and filled with data analytic repository (Kimball model, topology - star), which was used to build a multi-dimensional databases and OLAP-based cubes on it, as well as models of analysis of data on two main algorithms: Microsoft Time Series, Microsoft Neural Network . To ensure interoperability frontend and backend server for backend-server was set up HTTP-Restful interface JSON-issuing documents in the form of finished sets. The project includes two main areas: Intelligent visualization of open data Analysis of open data and the construction of forecasts based on them Intelligent visualization involves the use of MDX-queries to the OLAP-cube, followed by depression (drilldown) in the data, the system allows the user to quickly find the "weak points" of the economy, as part of the data collected. To predict the time a standard mix of algorithms ARTXP / ARIMA, without the use of queries involving cross-prediction (but it is possible to enroll in the system correct data). These algorithms have been tested primarily on foreign exchange rates (US dollar) and the assets of banks included in the special list of Ministry of Finance. In addition, for assets shows the different customization options algorithms - a long-term, short-term and medium-term (balanced) plan. Assessing the impact of oil prices and foreign currency exchange rate for the total market capitalization was conducted on a sample of the data collected: companies with a total market capitalization of 100 to 500 million rubles, present in the market during 2013-2015 Analytical server builds the neural network receiving the input exchange rates, companies, the weighted average share price, total capitalization of the company and the price of oil to requests received models give the opportunity to evaluate the growth rate of \ fall (if at all) the company's capitalization at historical exchange rates and / or the cost of oil. Built a system can expand to include new indicators, which will significantly increase the accuracy of forecasting.
Beckybams / AI Optimized Renewable Energy Deployment AI-Optimized-Renewable-Energy-Deployment leverages artificial intelligence to enhance planning, forecasting, and management of renewable energy systems. Using predictive analytics and optimization models, it improves energy generation efficiency, reduces costs, and supports grid stability.
SuryaThejas-07 / Virtual Fitness TrainerFit Coach is an AI-powered fitness web app that delivers real-time form tracking via webcam, smart rep counting, posture scoring, workout and nutrition logging, body-metric monitoring, and progress analytics. It also includes a motivating coach chatbot for protein guidance and timed goal plans.
dyneth02 / Air Quality Trends Analysis ProjectFull-stack air quality analytics platform built with FastAPI, React, and MySQL. Aggregates multi-source PM2.5/PM10 data, performs multi-city comparison and time-series forecasting (SARIMAX), and integrates an LLM-based planning agent with tiered access, secure APIs, and PDF reporting.
IdrisKulubi / EventmanagerA comprehensive web application for streamlining event planning and management, from ticket sales to post-event analytics.
