- New Delhi, India
- https://stackoverflow.com/users/2494535/softvar
- @s0ftvar
Highlights
- All languages
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Starred repositories
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of Python frameworks, libraries, tools, and resources.
All Algorithms implemented in Python
Command-line program to download videos from YouTube.com and other video sites
Magnificent app which corrects your previous console command.
The Web framework for perfectionists with deadlines.
A curated list of awesome Machine Learning frameworks, libraries and software.
The Python micro framework for building web applications.
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
Developer-first error tracking and performance monitoring
A collection of design patterns/idioms in Python
A book-in-progress about the Linux kernel and its insides.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
Minimal examples of data structures and algorithms in Python
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
Magenta: Music and Art Generation with Machine Intelligence
Faker is a Python package that generates fake data for you.
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Code samples for my book "Neural Networks and Deep Learning"