#dockerfile #awesome_list #bugbounty #cms #code #execution #exploit #framework #rce

https://github.com/p0dalirius/Awesome-RCE-techniques

#emacs_lisp #code_completion #emacs #lsp #lsp_client

https://github.com/manateelazycat/lsp-bridge

#typescript #code #drawing #fun #sketch #svg #whiteboard

https://github.com/tldraw/tldraw

#other #code_editor #ide #intellij #intellij_community #intellij_platform

https://github.com/JetBrains/intellij-community

#javascript #browser #cause #code_quality #error #error_classes #error_handler #error_handling #error_monitoring #error_reporting #errors #exceptions #framework #library #message #monitoring #nodejs #plugins #stacktrace #typescript

https://github.com/ehmicky/modern-errors

#java #abstract_syntax_tree #ast #code_analysis #code_generation #code_generator #javadoc #javaparser #javasymbolsolver #parser #syntax_tree

https://github.com/javaparser/javaparser

#typescript #code_coverage #composer #continuous_integration #github_actions #hacktoberfest #php #php_extensions #static_analysis #tools

https://github.com/shivammathur/setup-php

#php #code_editor #file_browser #file_explorer #file_management_system #file_manager #file_upload #filemanager #folder_viewer #ftp_client #online_ide #tinyfilemanager #url_upload #web_file_storage #zero_configuration

https://github.com/prasathmani/tinyfilemanager

#python #autopep8 #code #codeformatter #formatter #gofmt #hacktoberfest #pre_commit_hook #python #yapf

_Black_ is a powerful tool that automatically formats your Python code to make it consistent and easy to read. By using _Black_, you save time and mental energy because it handles all the formatting for you, ensuring your code looks the same across different projects. This consistency makes code reviews faster and easier. You can install _Black_ with a simple command (`pip install black`) and start using it right away without needing complex configurations. Many popular projects and organizations already use _Black_ to maintain clean and uniform codebases.

https://github.com/psf/black

#typescript #ai #ai_code_generation #anthropic #claude #claude_ai #code_interpreter #e2b #javascript #llm #nextjs #react #sandbox #typescript

This tool, called "Fragments by E2B," allows you to use AI models like OpenAI, Anthropic, and others to execute code securely. It supports various programming stacks such as Python, Next.js, Vue.js, and more. You can install any package from npm or pip and customize the tool with your own templates and AI models. To get started, you need to clone the repository, install dependencies, set environment variables, and start the development server. This tool is beneficial because it provides a flexible and secure way to work with AI-generated code, making it easier to develop and test applications.

https://github.com/e2b-dev/fragments

#javascript #batch_processing #batch_script #code_free #crawler #data_collection #frontend #gui #html #input_parameters #layman #parameters #robotics #rpa #scraper #spider #visual #visualization #visualprogramming #web #www

EasySpider is a free, code-free web crawler software that helps you collect data from websites easily. You can use it without writing any code, just by selecting the content you want to operate on a web page and following the prompts. It can also be run from the command line, making it easy to integrate into other systems. This software is very user-friendly and allows you to collect data from websites quickly, even if you don't know how to code. It also supports various proxy services and captcha solutions, making data collection more efficient. Using EasySpider can save you a lot of time and effort in collecting web data.

https://github.com/NaiboWang/EasySpider

#python #code #machine_learning_algorithms #statistical_learning_method

This resource helps you learn machine learning and AI by providing translated papers, detailed code explanations, and practical implementations. You can read hundreds of papers daily with translations of titles, summaries, and even full texts for some AI papers. The code is well-commented, making it easy to follow along with formulas and examples. There are also blogs and upcoming books to help you understand the concepts better. Additionally, there are plans for offline training sessions in major cities, which can help you quickly get started with ML, MLP, and CV. This makes learning machine learning more accessible and comprehensive.

https://github.com/Dod-o/Statistical-Learning-Method_Code

#typescript #api_testing #code_coverage #component_testing #cypress #end_to_end_testing #testing #testing_practices

This application is a real-world example to help you learn and practice testing with Cypress. It's a full-stack app built with React, Express, and other technologies, and it includes local authentication, database seeding, and end-to-end tests. You can easily set it up on your machine by cloning the repository, installing dependencies with Yarn, and running the app. The app comes with pre-configured tests and code coverage reports, making it ideal for learning and experimenting with Cypress testing methods. This helps you understand how to test real-world applications effectively.

https://github.com/cypress-io/cypress-realworld-app