24 Lessons, 12 Weeks, Get Started as a Web Developer

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

TensorFlow Tutorials with YouTube Videos

Recipes for using Python's pandas library

From the basics to slightly more interesting applications of Tensorflow

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

Add-ons for openHAB 1.x

An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organiz…

Code, Notebooks and Examples from Practical Business Python

Code from the Engineer Man YouTube channel. Please do not submit pull requests, they will be ignored/closed. The code in the repo needs to remain as it was in the video.

Deep Learning tutorials in jupyter notebooks.

Statistical Data Analysis in Python

Matplotlib Jupyter Integration

Volumio 2 - Audiophile Music Player

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

A curated list of Google Earth Engine resources

TensorFlow Tutorial for Time Series Prediction

Machine Learning University: Accelerated Tabular Data Class

Pandas Cookbook, published by Packt

A collection of Bayesian data analysis recipes using PyMC3

Python framework for short-term ensemble prediction systems.

OpenSprinkler Unified Firmware for OpenSprinkler, OpenSprinkler Pi, and Linux-based OpenSprinkler

Download a copy of your Garmin Connect data, including stats and GPX tracks.

Slides and talk assets from PyCon 2017

Pastas is an open-source Python framework for the analysis of groundwater time series.