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JayabharathP / The Python Mega Course Build 10 Real World Applications The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python
srmds / CoreData CRUD Swift 5.0 ExampleSwift 5.0 Example project that exposes the usage of Core Data to create Entities and to persist to a SQLite Datastore
rstecca / ColorBandsUnity 3D's Gradient is a handy data type but comes with some limitations: for example you cannot set more than 8 color keys in its editor and RGB is the only color space available. ColorBand data type offers an alternative with less limitations. Creating ColorBands is fun and easy; they are stored as assets and can be accessed from code through an Evaluate method to get the color at time t, as for Gradient. RGB (or HSV) values are described by individual curves, allowing a better control over how the color function evolves between your points. Color bands are used in all kinds of applications including games, data visualization and other fields.
chuckcho / Video CaffeVideo-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
kedro-org / Kedro CommunityExamples of data science projects created with Kedro.
buildingSMART / BSDDThe buildingSMART Data Dictionary repository, where we publish the documentation, examples and more. We don't publish here the data, the source code of the bSDD service or the front end of the website.
HanxunH / Unlearnable Examples[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
OpenDroneMap / ODMdataExample data for OpenDroneMap: https://OpenDroneMap.org sourced from a variety of sources
rapidsai / ClxA collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
TaddyLab / BDSCode and examples from Business Data Science
JeremyLikness / BlazorWasmEFCoreExampleExample of a Blazor WebAssembly project that uses Entity Framework Core on the server for data access.
justinmfischer / SwiftyAccordionCellsExample Swift 3.0 Xcode 8.0 project which demonstrates how to expand and collapse a UITableView like an accordion. Using this lightweight data structure approach, UITableViewCell header/sub-item rows can be added or removed dynamically as needed. Subclass table for further reuse.
computermacgyver / Twitter PythonSimple example scripts for Twitter data collection with Tweepy in Python
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GoogleCloudPlatform / DataflowSDK ExamplesGoogle Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines. This repository hosts a few example pipelines to get you started with Dataflow.
royal-statistical-society / DatavisguideIntroductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more readable, accessible, and impactful.
shaialon / Ember Admin DashboardsDEPRECATED. An Ember-Cli Project - Starter admin template based on AdminLTE. Has an example real data dashboard using twitter stream.
NVIDIA-Omniverse / Synthetic Data ExamplesSynthetic Data Generation Examples
petercorke / RVC3 MATLABNew toolbox, data and examples for Robotics, Vision & Control: 3rd edition in MATLAB
ibm-wearables-sdk-for-mobile / Ibm Wearables Swift SDKiOS Framework and examples for developing apps that utilize Wearable Devices. It handles connectivity, data interpretation and gesture recognition.