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A curated collection of Python tutorials and resources for data science, machine learning, and natural language processing.
A Python tutorial and cookbook for implementing Bayesian modeling techniques using PyMC3.
A comprehensive Jupyter notebook tutorial covering computer vision and machine learning basics using OpenCV and Keras in Python.
A CLI tool that teaches programming basics through 30 progressively challenging tasks in Python or JavaScript.
A Python package and tutorial collection for signal processing and machine learning, built on NumPy and SciPy.
A Python tutorial demonstrating how to access and process Common Crawl's web archive datasets (WARC, WET, WAT) using tools like warcio, cdx_toolkit, and DuckDB.
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