Deep learning signal classification using rtl-sdr dongle - randaller/cnn-rtlsdr

Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2 - pythonguis/pythonguis-examples

pdvega - Interactive plotting for Pandas using Vega-Lite

Short Python code snippets for all your development needs - GitHub - 30-seconds/30-seconds-of-python: Short Python code snippets for all your development needs

Terminal session recorder, streamer and player 📹. Contribute to asciinema/asciinema development by creating an account on GitHub.

A simple Django-Channels web chat! Contribute to narrowfail/django-channels-chat development by creating an account on GitHub.

safeyaml - SafeYAML: A linter for YAML-favoured JSON (& autoformatting too!)

Colour Science for Python. Contribute to colour-science/colour development by creating an account on GitHub.

Chromecast local files from Linux - supports MKV, subtitles, 5.1 sound and 4K! - keredson/gnomecast

Git extension: Makes git-diff and git-merge work for Excel workbooks (xls* file types) - ZoomerAnalytics/git-xltrail

How to make a Raspberry Pi image that can be deployed anywhere and assigned to a WiFi network without SSH :ok_hand: - schollz/raspberry-pi-turnkey

🍦 Never use print() to debug again. Contribute to gruns/icecream development by creating an account on GitHub.

I would like to learn how to do fundamental stock analyses using Python. Do you have any recommendations? How did you learn? Are you aware of...

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# Spanish

PyConCharlas es un track en castellano durante la PyCon18. La comunidad de Python hispanohablante crece año tras año y queremos darle una oportunidad tanto a los ponentes de exponer en su lengua nativa como a los participantes de asistir a charlas…

PyDev can now be used for Python development on Visual Studio Code ! The first release already provides features such as code analysis...

Recently I discovered that Flask's url_for helper function can be a bottleneck and so I created a version that implements a simple cache - here's the code & benchmarks.

A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.

Introduction to the pdvega plotting library.