Beast code in Giters

Niraj Kamdar's starred repositories

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

Language:PythonMIT48364 538 1288

wtfpython

What the f*ck Python? 😱

Language:PythonWTFPL35522 749 197

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Language:PythonNOASSERTION22641 406 290

click

Python composable command line interface toolkit

Language:PythonBSD-3-Clause15346 188 1552

cython

The most widely used Python to C compiler

Language:PythonApache-2.09194 239 3650

sourcerer-app

🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.

Language:KotlinMIT6728 67 372

tinydb

TinyDB is a lightweight document oriented database optimized for your happiness :)

Language:PythonMIT6658 106 315

integration

HACS gives you a powerful UI to handle downloads of all your custom needs.

Language:PythonMIT4934 111 2227

python-coding-interview

A middle-to-high level open source algorithm book designed with coding interview at heart!

Language:TeXApache-2.02083 114 8

PeachPy

x86-64 assembler embedded in Python

Language:PythonNOASSERTION1966 78 89

aiomultiprocess

Take a modern Python codebase to the next level of performance.

Language:PythonMIT1724 25 68

cement

Application Framework for Python

Language:PythonBSD-3-Clause1229 28 634

The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 200 common, vulnerable components (openssl, libpng, libxml2, expat and others), or if you know the components used, you can get a list of known vulnerabilities associated with an SBOM or a list of components and versions.

Language:PythonGPL-3.01150 29 1308

unsync

Unsynchronize asyncio

Language:PythonMIT873 21 31

sample-programs

Sample Programs in Every Programming Language

Language:BASICMIT538 10 1448

dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

Language:PythonMIT248 19 841