Distributed Web Scraping in Python
Learn to build a distributed web scraper in Python, reducing batch job times and improving code durability. Explore techniques, lessons, and stories for efficient large-scale web scraping.
In House to Open Source - Stitching the Past to the Future
Explore the transition from legacy code to open-source solutions, focusing on Python's advantages in software migrations and the implementation of robust frameworks like Apache Airflow.
Building a Python Code Completer
Uncover the secrets behind Python code completion, from parsing to AST, and learn how to build a simple completer in just minutes.
Implementing Shared Functionality Using Middleware
Introduction to writing middleware for web applications, exploring how they work in Flask, Django, and FastAPI. Learn to create custom middleware and leverage community-contributed solutions for essential functionality.
Learn Python Like a 12 Year Old
Discover effective Python learning strategies inspired by 12-year-olds, focusing on curiosity, diverse problem-solving, and embracing discomfort to enhance coding skills and creativity.
Software Development for Machine Learning in Python
Explore best practices for developing ML software in Python, focusing on abstraction, optimization, and production-ready code. Learn to design efficient, trackable, and easily maintainable ML systems.
Demystifying Python's Internals - Diving into CPython by Implementing a New Operator
Explore CPython's internals by implementing a pipe operator, covering tokenization, grammar, parsing, and bytecode generation for a deeper understanding of Python's core mechanics.
Employing NumPy's NPY Format for Faster Than Parquet DataFrame Storage
Explore faster DataFrame storage using NumPy's NPY format, outperforming Parquet in read/write times while supporting all DataFrame characteristics and NumPy dtypes.
Effective Protobuf - Everything You Wanted to Know, But Never Dared to Ask
Comprehensive exploration of Protocol Buffers, covering serialization, performance, encoding, and practical applications. Ideal for developers seeking to optimize data exchange in distributed systems.
Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit
Explore building a customizable ML experiment tracking system using DVC for versioning and Streamlit for data exploration, focusing on practical implementation with Python APIs.
Programming Your Way up a Skyscraper - Python in the Built World
Explore how architects use Python to enhance building design, from geometry editing to algorithmic design, data sorting, and software integration, unlocking new possibilities in architecture.
Why Authorization is Hard
Explore the complexities of implementing authorization in applications, covering enforcement, decision architecture, and modeling. Learn approaches and tradeoffs for each area.
Best Practices for Continuous Integration in Python
Explore best practices for Python continuous integration, focusing on timely and accurate developer feedback across various CI systems. Learn to optimize configurations for speed and precision.
Finding Penguins with a Snake - Linux Features for a Python User
Explore Linux features through Python APIs, including processes, named pipes, fork, exec, inodes, and signals. Enhance your understanding of OS capabilities using Python's standard library.
A Perfect Match - The History, Design, Implementation, and Future of Python's Structural Pattern Matching
Explore Python 3.10's structural pattern matching: its history, design, implementation, and future. Learn powerful object-oriented approaches and practical applications for this functional programming feature.
Python for Threat Intelligence
Explore threat intelligence using Python: automate tasks, analyze data, and build tools for security incident prevention. Learn from real-world examples and development practices.
Handling Timezones in Python
Learn to handle timezones and daylight savings in Python, avoiding common mistakes and implementing best practices for datetime operations in various scenarios, including Django applications.
Fast and Reproducible Tests, Packaging, and Deploys with Hermetic Builds
Explore hermetic builds with Pantsbuild for fast, reproducible workflows. Learn how isolated environments ensure correctness, eliminate "works on my machine" issues, and improve CI/CD processes.
Better Air, Better Health - Creating an Indoor Air Quality Monitoring System
Learn to build an indoor air quality monitoring system using Python, sensors, and machine learning to predict CO2 levels and improve your home environment.
Making Python Better One Error Message at a Time
Explore Python 3.10's improved error messages, their impact on users, and upcoming enhancements in 3.11. Learn about implementation challenges and how to contribute to future improvements.
Open Source, Python Based Tools for Data Privacy
Explore open-source Python tools for integrating data privacy into software development, improving trustworthiness and efficiency in handling personal data across various infrastructures.