🚀 A curated list of awesome data visualization libraries and resources.

🖥 GitHub

@python

⭐️Awesome data science

Probably the best curated list of data science software in Python.

🖥 Github

@pythonl

🖥 QualityScaler

QualityScaler - image/video deeplearning upscaling for any GPU

🖥 Github

@pythonl

🖥 Detailed Python developer roadmap

🖥 Gihub

@pythonl

✔️ DXcam

Fastest Python Screenshot

pip install dxcam

🖥 Gihub

@pythonl

🔥 Phoenix10.1

Phoenix10.1 is a software to generate personalized pre-recorded internet radios that has a text-to-speech based radio jockey.

sudo apt-get install ffmpeg espeak

🖥 Gihub

@pythonl

🖥 EasyMocap

EasyMocap is an open-source toolbox for markerless human motion capture and novel view synthesis from RGB videos.

🖥 Gihub
📌 Colab

@pythonl

🖥 Understand Tensors With Numpy

✔️ Read
📌 Numpy Basics

@pythonl

🖥 Payloads All The Things

A list of useful payloads and bypass for Web Application Security and PentestCTF

🖥 Github

@pythonl

🖥 A collection of design patternsidioms in Python

🖥 Github

@pythonl

❤️ ChatGPT Telegram Bot

Telegram bot that lets you chat with the chatGPT language model using your local browser.

🖥 Github

@pythonl

🔥 PyChatGPT

pip install chatgptpy --upgrade

🖥 Github

@pythonl

💨 Docarray

DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc.

pip install docarray

🖥 Github
📌 Docs

@pythonl

🔥 ChatGPT CLI and Python Wrapper

pip install git+https://github.com/mmabrouk/chatgpt-wrapper

🖥 Github

@pythonl

🖥 Ursina

An easy to use game engine/framework for python.

pip install ursina

🖥 Github

@pythonl

🖥 latexify

Generates LaTeX math description from Python functions.

🖥 Github
🖥 Colab

@pythonl

🖥 redis-py

Интерфейс Python для хранилища ключей и значений Redis.

$ pip install redis

>>> import redis
>>> r = redis.Redis(host='localhost', port=6379, db=0)
>>> r.set('foo', 'bar')
True
>>> r.get('foo')
b'bar'

🖥 Github
➡️ Installation

@pythonl

🖥 Autopep8

autopep8 automatically formats Python code to conform to the PEP 8 style guide.

$ pip install --upgrade autopep8

🖥 Github

@pythonl

🖥 StackExplain

Explain your error message in plain English using ChatGPT. Just run your file with the stackexplain command.

Крутой скрипт на основе ChatGPT выведет и обьяснит ошибку в вашем коде.

$ pip3 install stackexplain

🖥 Github

@pythonl

🔩 Bandit

A security linter from PyCQA

🖥 Github

@pythonl