335 skills found · Page 3 of 12
jonschlinkert / Delete EmptyRecursively delete all empty folders in a directory and child directories.
LaxmiNarayanSharma00 / All ProjectsWelcome to my project repository! This directory, MY_ALL_PROJECTS, contains a collection of my personal and professional projects. Each sub-directory represents a distinct project with its own goals, technologies, and implementation details. Below is an overview of the projects included in this folder.
stefins / Wdcrypt🔐A CLI to encrypt all the files and folder in your current working directory.
Offensive-Panda / C2 Elevated Shell DLL HijckingDLL Hijacking and Mock directories technique to bypass Windows UAC security feature and getting high-level privileged reverse shell. Security researchers identified this technique which uses a simplified process of DLL hijacking and mock folders to bypass UAC control. I tested this on Windows 10,11 and bypassed Windows 10 UAC security feature.
mudigosa / Image ClassifierImage Classifier Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smartphone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture. A large part of software development in the future will be using these types of models as common parts of applications. In this project, you'll train an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice, you'd train this classifier, then export it for use in your application. We'll be using this dataset of 102 flower categories. When you've completed this project, you'll have an application that can be trained on any set of labelled images. Here your network will be learning about flowers and end up as a command line application. But, what you do with your new skills depends on your imagination and effort in building a dataset. This is the final Project of the Udacity AI with Python Nanodegree Prerequisites The Code is written in Python 3.6.5 . If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install pip run in the command Line python -m ensurepip -- default-pip to upgrade it python -m pip install -- upgrade pip setuptools wheel to upgrade Python pip install python -- upgrade Additional Packages that are required are: Numpy, Pandas, MatplotLib, Pytorch, PIL and json. You can donwload them using pip pip install numpy pandas matplotlib pil or conda conda install numpy pandas matplotlib pil In order to intall Pytorch head over to the Pytorch site select your specs and follow the instructions given. Viewing the Jyputer Notebook In order to better view and work on the jupyter Notebook I encourage you to use nbviewer . You can simply copy and paste the link to this website and you will be able to edit it without any problem. Alternatively you can clone the repository using git clone https://github.com/fotisk07/Image-Classifier/ then in the command Line type, after you have downloaded jupyter notebook type jupyter notebook locate the notebook and run it. Command Line Application Train a new network on a data set with train.py Basic Usage : python train.py data_directory Prints out current epoch, training loss, validation loss, and validation accuracy as the netowrk trains Options: Set direcotry to save checkpoints: python train.py data_dor --save_dir save_directory Choose arcitecture (alexnet, densenet121 or vgg16 available): pytnon train.py data_dir --arch "vgg16" Set hyperparameters: python train.py data_dir --learning_rate 0.001 --hidden_layer1 120 --epochs 20 Use GPU for training: python train.py data_dir --gpu gpu Predict flower name from an image with predict.py along with the probability of that name. That is you'll pass in a single image /path/to/image and return the flower name and class probability Basic usage: python predict.py /path/to/image checkpoint Options: Return top K most likely classes: python predict.py input checkpoint ---top_k 3 Use a mapping of categories to real names: python predict.py input checkpoint --category_names cat_To_name.json Use GPU for inference: python predict.py input checkpoint --gpu Json file In order for the network to print out the name of the flower a .json file is required. If you aren't familiar with json you can find information here. By using a .json file the data can be sorted into folders with numbers and those numbers will correspond to specific names specified in the .json file. Data and the json file The data used specifically for this assignemnt are a flower database are not provided in the repository as it's larger than what github allows. Nevertheless, feel free to create your own databases and train the model on them to use with your own projects. The structure of your data should be the following: The data need to comprised of 3 folders, test, train and validate. Generally the proportions should be 70% training 10% validate and 20% test. Inside the train, test and validate folders there should be folders bearing a specific number which corresponds to a specific category, clarified in the json file. For example if we have the image a.jpj and it is a rose it could be in a path like this /test/5/a.jpg and json file would be like this {...5:"rose",...}. Make sure to include a lot of photos of your catagories (more than 10) with different angles and different lighting conditions in order for the network to generalize better. GPU As the network makes use of a sophisticated deep convolutional neural network the training process is impossible to be done by a common laptop. In order to train your models to your local machine you have three options Cuda -- If you have an NVIDIA GPU then you can install CUDA from here. With Cuda you will be able to train your model however the process will still be time consuming Cloud Services -- There are many paid cloud services that let you train your models like AWS or Google Cloud Coogle Colab -- Google Colab gives you free access to a tesla K80 GPU for 12 hours at a time. Once 12 hours have ellapsed you can just reload and continue! The only limitation is that you have to upload the data to Google Drive and if the dataset is massive you may run out of space. However, once a model is trained then a normal CPU can be used for the predict.py file and you will have an answer within some seconds. Hyperparameters As you can see you have a wide selection of hyperparameters available and you can get even more by making small modifications to the code. Thus it may seem overly complicated to choose the right ones especially if the training needs at least 15 minutes to be completed. So here are some hints: By increasing the number of epochs the accuracy of the network on the training set gets better and better however be careful because if you pick a large number of epochs the network won't generalize well, that is to say it will have high accuracy on the training image and low accuracy on the test images. Eg: training for 12 epochs training accuracy: 85% Test accuracy: 82%. Training for 30 epochs training accuracy 95% test accuracy 50%. A big learning rate guarantees that the network will converge fast to a small error but it will constantly overshot A small learning rate guarantees that the network will reach greater accuracies but the learning process will take longer Densenet121 works best for images but the training process takes significantly longer than alexnet or vgg16 *My settings were lr=0.001, dropoup=0.5, epochs= 15 and my test accuracy was 86% with densenet121 as my feature extraction model. Pre-Trained Network The checkpoint.pth file contains the information of a network trained to recognise 102 different species of flowers. I has been trained with specific hyperparameters thus if you don't set them right the network will fail. In order to have a prediction for an image located in the path /path/to/image using my pretrained model you can simply type python predict.py /path/to/image checkpoint.pth Contributing Please read CONTRIBUTING.md for the process for submitting pull requests. Authors Shanmukha Mudigonda - Initial work Udacity - Final Project of the AI with Python Nanodegree
gbti-network / Nextjs Google Drive DirectoryREACT/NextJS app that turns any Google Drive folder into a custom directory application.
TimCorey / VSZipperThis application zips up Visual Studio Projects and Solutions without unnecessary files/folders like the bin and obj directories.
OCamlPro / Directoriesdirectories is an OCaml library that provides configuration, cache and data paths (and more!) following the suitable conventions on Linux, macOS and Windows. The following conventions are used: XDG Base Directory Specification and xdg-user-dirs on Linux, Known Folders on Windows, Standard Directories on macOS.
antonio-pedro99 / Powfu File OrganizerThis a utility script to help users organize their files without stress. It goes through a folder and checks all files and organizes them per type. Modules Used: shutil - provides utility functions for copying, archiving files, and directory trees. os - it allows us to work with directories, files, and so on. sys - This module provides access to some objects used or maintained by the interpreter and to functions that interact strongly with the interpreter.
srcecde / Lazy Junk OrganizerA Lazy python programmer who keeps bunch of files on Desktop and other various Directory and he is too lazy to do it manually. So here he writes the script to organize everything in appropriate folder in the single go and remove empty directories.
llanox / React Native AssetsReact native module that allows download assets in background from an url and persist them into a specific directory in Documents folder on iOS. In addition, you can delete and list assets from that directory.
vb100 / Pneumonia X Rays Of Human Lungs AI ProjectThis projects includes both back-end (Keras, Flask with dependencies) and front-end/deployement (HTML, CSS, JS) parts. The project perform X-rays of human lungs classifiaction using Convolutional Neural Networks with automated image pre-processing and internal procedures. Saved files of inspected models are saved on specific folders in project directory.
mekomsolutions / Openmrs Module InitializerThe OpenMRS Initializer module is an API-only module that processes the content of the configuration folder when it is found inside OpenMRS' application data directory.
imhoffd / Node Jsondir:open_file_folder: A NodeJS package to convert JSON objects to directories and back again.
Gamingwithlogout / HacksByLogoutIts a automatic PAYLOAD injector tools for kali linux powered by LogOut AKA Ethical Hacker. ##First os all make install of all the files required during this process . you can directly do it by installation script i.e. install.sh on the main folder. Run ./install.sh OR install the following packages 1. metasploit-framework 2. Android Debug Bridge(ADB) 3. Fastboot 4. colorama for python 5. Python3 Be sure to setup or place the HacksByLogout folder on root directory of system and not to touch or edit any files or it may cause you to stop working. Steps You need to follow!!!! (1) Just enter your IP of device. Note: you can check your ip using ifconfig command in terminal. (2) Enter the port : Note: I usually recommend using 8080, 4444, 5555 or any 4 digit number as a port since it is very necessary, you need to use the port . (3) turn on usb debugging on your device and plug it for 10 seconds. Time depend upon your internet connection and system power. (4) After the injection , it will automatic open msf console so that it will be easy for you. (5) type the commands given to you on opened terminal. After exploit just tap or launch the installed PAYLOAD for single time and you will be connected. MAKING PAYLOAD SECURE!!! after connection just type the following command and hit enter. hide_app_icon this let you to hide your PAYLOAD and make it undetectable by user. use help command to list the things you can do. Copyright@HacksByLogOut
Mikael / VIPBotIf you already know everything about hosting a bot, you can skip this text file. If not, I'll quickly run through the process of creating a Discord Bot account with you so you can get started with your own custom Discord bot. Also I'll give you a brief overview of the possible ways to host a bot. == 1) CREATING A DISCORD BOT ACCOUNT == You need a Discord bot account to be able to run the code I've written for you. - Make sure you're logged on the Discord *website* here: https://discord.com/ - Open up this page in your web browser: https://discord.com/developers/applications - Click the "New Application" button on the top right. - Give your application a name and then click "Create". - Create a Bot account by navigating to the "Bot" tab and clicking "Add Bot". - If you want your bot to be able to invited by others, tick the "Public Bot" checkbox. - Copy the Token using the "Copy" button. - Replace TOKEN in the config.json with the bot token you just copied. WARNING: Do not UNDER ANY CIRCUMSTANCES share this Token with anyone as it's like a password for your bot. A Discord employee will never ask for it. Also, if your Bot is public and someone gets hold of the Token, they can wreak havoc on any server that the bot is on, including potentially deleting all messages. If your Token got leaked, make sure to click "Regnerate" as fast as possible to minimize the damage. == 2) INVITING THE BOT TO YOUR SERVER == Now that your bot has been created, you can invite it to your server. - Now click the "OAuth2" tab on the application page you were on for creating your bot. - Tick the "bot" checkbox under "Scopes" - Tick the permissions your bot will need to function properly. You can find the necessary permissions in the text file called "Needed permissions.txt" - you can also give your bot the Administrator permission, but keep in mind that this means that the bot has every possible permission. - In the "Scopes" section you will find the link to invite your bot to any server that you have the "Manage Server" permission on. == 3) HOSTING THE BOT == There are in general two ways to host your bot: Either you host the bot yourself on your computer (or any other local machine you have physical access to like a Raspberry Pi or even a smartphone) or you host it on a VPS (= Virtual Private Server), which is basically a small, cheap server that runs 24/7. Both have advantages and disadvantages: - When you host the bot on a local device, it's way easier to setup the bot and get running quickly, yet you have to keep that device powered on all the time, which might be undesirable. - A cheap VPS will cost you a few bucks monthly and you have to use SSH to connect to it and set it up, but it will be powered on 24/7 and will usually be a better overall solution for such a bot. == 3a) HOSTING THE BOT ON A LOCAL DEVICE == To run the bot on a local device, you need to have Python installed and install the necessary modules for Python. You can download the newest version of Python here: https://www.python.org/. Make sure to let the installer include Python in $PATH. Now install the modules. You can do that on Windows by navigating into the folder where this text document is, pressing Shift + Right click anywhere in the folder, clicking "Open in PowerShell" and running this command: python -m pip install -r requirements.txt The steps should be very similar on Linux and macOS. If it says something along the lines of "'python' not found", try it with python3 instead or without "python -m" entirely and if it still doesn't work, your Python installation might be screwed up. Try reinstalling Python. To run your bot, just run "python main.py" (without quotation marks); "python3" instead of "python" might work too. If you get a message that looks like "python: can't open file 'main.py': [Errno 2] No such file or directory", you're probably not in the right folder with your command prompt. == 3b) HOSTING THE BOT ON A VPS == The process of hosting your bot on a VPS is more complicated and will inevitably require you to do most of the research on your own, but I can boil it down to the following steps (considering that your VPS runs some Linux distribution like Debian or CentOS - if it runs Windows, install a Linux distribution). In general: - First of all, get the VPS up and running and establish a connection to it via SSH* (native on Linux and Mac, use PuTTY on Windows for that) on your machine. - Transfer the whole folder with the bot over to the VPS over e.g. SFTP (you could use FileZilla for that and don't use normal FTP, it's not secure). - Configure the VPS to your needs (like installing Python and other needed programs and libraries). - Get a supervisor running (you could use supervisord for that) and let it take care of running your bot. - Take security measures like closing unneeded ports, using keyfiles for SSH, not allowing root connections with SSH etc. - Think of a good backup strategy, in case something happens to the valuable data on your VPS. If you're using a VPS, it's very easy to screw something up (like not properly securing the SSH connection with keyfiles), so please do *A LOT* of research on how to run and maintain a VPS, otherwise you might end up having your database leaked or something similar. If you have further questions about hosting a Discord bot, just hit me up, I'll be glad to help. But I will not host your bot. * SSH = Secure Shell, a way to securely build up a remote connection to a server and use the command line in it, also includes SFTP for file transfer == 4) VPS CHOICE == The discord.py community recommends the following VPS providers: - https://scaleway.com/ - Incredibly cheap but powerful VPSes, owned by https://online.net/, based in Europe. - https://digitalocean.com/ - US-based cheap VPSes. The gold standard. Locations available world wide. - https://ovh.co.uk/ - Cheap VPSes, used by many people. France and Canadian locations available. - https://time4vps.eu/ - Cheap VPSes, seemingly based in Lithuania. - https://linode.com/ - More cheap VPSes! - https://vultr.com/ - US-based, DigitalOcean-like. - https://galaxygate.net/ - A reliable, affordable, and trusted host, Used by Dank Memer, Rythm, and many other people. Using one of the cheaper options is usually a good start and will do just fine for small bots (up to a around hundred servers) and most providers will give you a way to smoothly upgrade your current plan. But it of course also depends on what your bot can do: Does it save a lot (= many gigabytes) data, is it usually in many voice channels, does it do image/video manipulation a lot? But there are lots of other providers, just do a Google search and you'll be sure to find the right one. Be wary of free hosting providers like Heraku, those services are not made to host Discord bots and you'll run into issues when trying to do so (believe me, I've fallen for them myself). If you have a spare Raspberry Pi, you can theoretically use it, but it will have subpar performance (especially if it's older or weaker than the Raspberry Pi 3B+). That's about it, hopefully this helped you. If there's something wrong with your bot or something's not working, contact me. - Mikael.
eihabkhan / AsciifoldersGenerate ASCII directory tree from any folder on your machine
desdic / Telescope Rooter.nvimChange directory to project folder when using telescope and restore afterwards
MateusNobreSilva / App Send MailPHPMailer PHPMailer – A full-featured email creation and transfer class for PHP Test status codecov.io Latest Stable Version Total Downloads License API Docs Features Probably the world's most popular code for sending email from PHP! Used by many open-source projects: WordPress, Drupal, 1CRM, SugarCRM, Yii, Joomla! and many more Integrated SMTP support – send without a local mail server Send emails with multiple To, CC, BCC and Reply-to addresses Multipart/alternative emails for mail clients that do not read HTML email Add attachments, including inline Support for UTF-8 content and 8bit, base64, binary, and quoted-printable encodings SMTP authentication with LOGIN, PLAIN, CRAM-MD5, and XOAUTH2 mechanisms over SMTPS and SMTP+STARTTLS transports Validates email addresses automatically Protects against header injection attacks Error messages in over 50 languages! DKIM and S/MIME signing support Compatible with PHP 5.5 and later, including PHP 8.1 Namespaced to prevent name clashes Much more! Why you might need it Many PHP developers need to send email from their code. The only PHP function that supports this directly is mail(). However, it does not provide any assistance for making use of popular features such as encryption, authentication, HTML messages, and attachments. Formatting email correctly is surprisingly difficult. There are myriad overlapping (and conflicting) standards, requiring tight adherence to horribly complicated formatting and encoding rules – the vast majority of code that you'll find online that uses the mail() function directly is just plain wrong, if not unsafe! The PHP mail() function usually sends via a local mail server, typically fronted by a sendmail binary on Linux, BSD, and macOS platforms, however, Windows usually doesn't include a local mail server; PHPMailer's integrated SMTP client allows email sending on all platforms without needing a local mail server. Be aware though, that the mail() function should be avoided when possible; it's both faster and safer to use SMTP to localhost. Please don't be tempted to do it yourself – if you don't use PHPMailer, there are many other excellent libraries that you should look at before rolling your own. Try SwiftMailer , Laminas/Mail, ZetaComponents etc. License This software is distributed under the LGPL 2.1 license, along with the GPL Cooperation Commitment. Please read LICENSE for information on the software availability and distribution. Installation & loading PHPMailer is available on Packagist (using semantic versioning), and installation via Composer is the recommended way to install PHPMailer. Just add this line to your composer.json file: "phpmailer/phpmailer": "^6.5" or run composer require phpmailer/phpmailer Note that the vendor folder and the vendor/autoload.php script are generated by Composer; they are not part of PHPMailer. If you want to use the Gmail XOAUTH2 authentication class, you will also need to add a dependency on the league/oauth2-client package in your composer.json. Alternatively, if you're not using Composer, you can download PHPMailer as a zip file, (note that docs and examples are not included in the zip file), then copy the contents of the PHPMailer folder into one of the include_path directories specified in your PHP configuration and load each class file manually: <?php use PHPMailer\PHPMailer\PHPMailer; use PHPMailer\PHPMailer\Exception; require 'path/to/PHPMailer/src/Exception.php'; require 'path/to/PHPMailer/src/PHPMailer.php'; require 'path/to/PHPMailer/src/SMTP.php'; If you're not using the SMTP class explicitly (you're probably not), you don't need a use line for the SMTP class. Even if you're not using exceptions, you do still need to load the Exception class as it is used internally. Legacy versions PHPMailer 5.2 (which is compatible with PHP 5.0 — 7.0) is no longer supported, even for security updates. You will find the latest version of 5.2 in the 5.2-stable branch. If you're using PHP 5.5 or later (which you should be), switch to the 6.x releases. Upgrading from 5.2 The biggest changes are that source files are now in the src/ folder, and PHPMailer now declares the namespace PHPMailer\PHPMailer. This has several important effects – read the upgrade guide for more details. Minimal installation While installing the entire package manually or with Composer is simple, convenient, and reliable, you may want to include only vital files in your project. At the very least you will need src/PHPMailer.php. If you're using SMTP, you'll need src/SMTP.php, and if you're using POP-before SMTP (very unlikely!), you'll need src/POP3.php. You can skip the language folder if you're not showing errors to users and can make do with English-only errors. If you're using XOAUTH2 you will need src/OAuth.php as well as the Composer dependencies for the services you wish to authenticate with. Really, it's much easier to use Composer! A Simple Example <?php //Import PHPMailer classes into the global namespace //These must be at the top of your script, not inside a function use PHPMailer\PHPMailer\PHPMailer; use PHPMailer\PHPMailer\SMTP; use PHPMailer\PHPMailer\Exception; //Load Composer's autoloader require 'vendor/autoload.php'; //Create an instance; passing `true` enables exceptions $mail = new PHPMailer(true); try { //Server settings $mail->SMTPDebug = SMTP::DEBUG_SERVER; //Enable verbose debug output $mail->isSMTP(); //Send using SMTP $mail->Host = 'smtp.example.com'; //Set the SMTP server to send through $mail->SMTPAuth = true; //Enable SMTP authentication $mail->Username = 'user@example.com'; //SMTP username $mail->Password = 'secret'; //SMTP password $mail->SMTPSecure = PHPMailer::ENCRYPTION_SMTPS; //Enable implicit TLS encryption $mail->Port = 465; //TCP port to connect to; use 587 if you have set `SMTPSecure = PHPMailer::ENCRYPTION_STARTTLS` //Recipients $mail->setFrom('from@example.com', 'Mailer'); $mail->addAddress('joe@example.net', 'Joe User'); //Add a recipient $mail->addAddress('ellen@example.com'); //Name is optional $mail->addReplyTo('info@example.com', 'Information'); $mail->addCC('cc@example.com'); $mail->addBCC('bcc@example.com'); //Attachments $mail->addAttachment('/var/tmp/file.tar.gz'); //Add attachments $mail->addAttachment('/tmp/image.jpg', 'new.jpg'); //Optional name //Content $mail->isHTML(true); //Set email format to HTML $mail->Subject = 'Here is the subject'; $mail->Body = 'This is the HTML message body <b>in bold!</b>'; $mail->AltBody = 'This is the body in plain text for non-HTML mail clients'; $mail->send(); echo 'Message has been sent'; } catch (Exception $e) { echo "Message could not be sent. Mailer Error: {$mail->ErrorInfo}"; } You'll find plenty to play with in the examples folder, which covers many common scenarios including sending through gmail, building contact forms, sending to mailing lists, and more. If you are re-using the instance (e.g. when sending to a mailing list), you may need to clear the recipient list to avoid sending duplicate messages. See the mailing list example for further guidance. That's it. You should now be ready to use PHPMailer! Localization PHPMailer defaults to English, but in the language folder you'll find many translations for PHPMailer error messages that you may encounter. Their filenames contain ISO 639-1 language code for the translations, for example fr for French. To specify a language, you need to tell PHPMailer which one to use, like this: //To load the French version $mail->setLanguage('fr', '/optional/path/to/language/directory/'); We welcome corrections and new languages – if you're looking for corrections, run the PHPMailerLangTest.php script in the tests folder and it will show any missing translations. Documentation Start reading at the GitHub wiki. If you're having trouble, head for the troubleshooting guide as it's frequently updated. Examples of how to use PHPMailer for common scenarios can be found in the examples folder. If you're looking for a good starting point, we recommend you start with the Gmail example. To reduce PHPMailer's deployed code footprint, examples are not included if you load PHPMailer via Composer or via GitHub's zip file download, so you'll need to either clone the git repository or use the above links to get to the examples directly. Complete generated API documentation is available online. You can generate complete API-level documentation by running phpdoc in the top-level folder, and documentation will appear in the docs folder, though you'll need to have PHPDocumentor installed. You may find the unit tests a good reference for how to do various operations such as encryption. If the documentation doesn't cover what you need, search the many questions on Stack Overflow, and before you ask a question about "SMTP Error: Could not connect to SMTP host.", read the troubleshooting guide. Tests PHPMailer tests use PHPUnit 9, with a polyfill to let 9-style tests run on older PHPUnit and PHP versions. Test status If this isn't passing, is there something you can do to help? Security Please disclose any vulnerabilities found responsibly – report security issues to the maintainers privately. See SECURITY and PHPMailer's security advisories on GitHub. Contributing Please submit bug reports, suggestions and pull requests to the GitHub issue tracker. We're particularly interested in fixing edge-cases, expanding test coverage and updating translations. If you found a mistake in the docs, or want to add something, go ahead and amend the wiki – anyone can edit it. If you have git clones from prior to the move to the PHPMailer GitHub organisation, you'll need to update any remote URLs referencing the old GitHub location with a command like this from within your clone: git remote set-url upstream https://github.com/PHPMailer/PHPMailer.git Please don't use the SourceForge or Google Code projects any more; they are obsolete and no longer maintained. Sponsorship Development time and resources for PHPMailer are provided by Smartmessages.net, the world's only privacy-first email marketing system. Smartmessages.net privacy-first email marketing logo Donations are very welcome, whether in beer 🍺, T-shirts 👕, or cold, hard cash 💰. Sponsorship through GitHub is a simple and convenient way to say "thank you" to PHPMailer's maintainers and contributors – just click the "Sponsor" button on the project page. If your company uses PHPMailer, consider taking part in Tidelift's enterprise support programme. PHPMailer For Enterprise Available as part of the Tidelift Subscription. The maintainers of PHPMailer and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use. Learn more. Changelog See changelog. History PHPMailer was originally written in 2001 by Brent R. Matzelle as a SourceForge project. Marcus Bointon (coolbru on SF) and Andy Prevost (codeworxtech) took over the project in 2004. Became an Apache incubator project on Google Code in 2010, managed by Jim Jagielski. Marcus created his fork on GitHub in 2008. Jim and Marcus decide to join forces and use GitHub as the canonical and official repo for PHPMailer in 2013. PHPMailer moves to the PHPMailer organisation on GitHub in 2013. What's changed since moving from SourceForge? Official successor to the SourceForge and Google Code projects. Test suite. Continuous integration with Github Actions. Composer support. Public development. Additional languages and language strings. CRAM-MD5 authentication support. Preserves full repo history of authors, commits and branches from the original SourceForge project.
jonschlinkert / DeleteDelete files and folders and any intermediate directories if they exist (sync and async).
