Practical tips for integrating mypy static type checking into existing Python projects, covering setup, manual type hints, and handling Optional types.
An introduction to the Django Riffs podcast, a beginner-friendly educational series for learning web development with the Django framework.
A developer shares their personal routine of waking at 5 AM to study algorithms, data structures, Python, and machine learning to advance their tech career.
A developer shares their personal learning journey and syllabus for mastering Python, Machine Learning, and Deep Learning in 2020.
Developer's January 2020 update covering FOSDEM, Sway 1.3, Wayland book, SourceHut improvements, and work on himitsu and mrsh.
An overview of using Python with serverless services on AWS and GCP, based on a talk from the Python Frederick event.
A beginner-friendly introduction to Django, a Python web framework, explaining its core concepts and how it powers web applications.
A tutorial on setting up a Python script to run SpeedTest.net CLI tests and log the results to InfluxDB on a Raspberry Pi for monitoring with Grafana.
A tutorial on using a Python script to collect Raspberry Pi system metrics and send them to InfluxDB for monitoring with Grafana.
Explores thread-safe counter implementations in Python, comparing naive, locked, and atomic approaches for high-concurrency scenarios.
Explains how to restrict attribute assignment in Python classes to prevent typos and enforce defined attributes, using a real-world example.
Explains scripting languages, their key differences from compiled programming languages, and their common uses in web development.
A guide to using IPython for debugging Python code, covering techniques like embedding sessions and moving beyond simple print statements.
A guide with practical heuristics for converting ggplot2 (R) visualization code to plotnine (Python) code, including syntax and style differences.
Author announces the 3rd edition of Python Machine Learning, featuring TensorFlow 2.0 updates and a new chapter on Generative Adversarial Networks.
Announcing the 3rd edition of Python Machine Learning, updated for TensorFlow 2.0 and featuring a new chapter on Generative Adversarial Networks (GANs).
A tutorial on using Plotnine, a Python data visualization library based on the grammar of graphics, translated from the ggplot2 R tutorial.
A developer shares how they built a leaderboard web app for GNOME Hackers using GitLab API, Python, and GitHub Actions.
A tutorial on creating custom GitHub Actions using Python, covering workflow setup, Docker containerization, and publishing to the marketplace.
A tutorial on Probability and Statistics concepts, from basics to generalized linear models, presented at PyData NYC with Python examples.
