A curated list of five interesting Python tutorials covering music generation, computer vision, data science, and popular modules.
The author reflects on the global reach of their book 'Intermediate Python', which has been read in 181 countries and used for training.
A critique of common Python decorator patterns that break function signatures and introspection, with advice on how to fix them.
A developer shares insights from reading the entire Python standard library, advising it's not necessary for proficiency and recommending community learning.
Explains why including a requirements.txt file in Python package releases helps document dependency versions for users and future maintainers.
A guide to creating presentation slides using Jupyter Notebook and Reveal.js, including automation and hosting on GitHub Pages.
A summary of the author's experience and key takeaways from attending the PyData Berlin 2016 conference, including notable talks.
Explains improvements in joblib's compressed persistence for Python, focusing on reduced memory usage and single-file storage for large numpy arrays.
Explains how to handle conditional Python package dependencies based on Python version, covering PEP 508, setuptools versions, and workarounds.
An introduction to Python sorted collections, explaining the need for libraries like SortedContainers for efficient sorted data types.
The Intermediate Python book is now available in a Chinese translation, which quickly gained popularity on GitHub.
A Python script called csv2vw converts CSV data into Vowpal Wabbit's input format for machine learning, with examples for label handling.
A guide for academics with math/physics backgrounds transitioning into data science, covering skills, learning paths, and practical advice.
A curated list of resources for beginners to learn Python specifically for data science, including tutorials, courses, and books.
A tutorial on using Python, Tesseract, and Wand to perform OCR (Optical Character Recognition) on PDF files and extract text.
A Fedora maintainer shares a Python script to scrape and email daily reports of failed live CD builds from Koji.
A guide on using the moto library to mock AWS S3 interactions in Python tests, replacing complex boto mocks.
A technical guide on using Python to scrape public data, including answers to questions, from the European Parliament website.
A guide to using Python's tempfile.NamedTemporaryFile() for creating and managing temporary files with control over deletion.
Explains why Python's hasattr() function is dangerous and misleading, especially in Python 2, and recommends using try/except or getattr() instead.
