How to Craft Awesome Machine Learning Demos with Python
Learn to create interactive Machine Learning demos using Python, Gradio, and Streamlit. Discover how to craft engaging interfaces and share your models with both ML experts and novices.
Code Coverage Through Unit Tests Running in Sub-Processes - Threads - Locally and Automated on GitHub
Learn to measure and improve code coverage for tests running in sub-processes/threads, locally and on GitHub. Explore techniques to enhance reliability and automate the process using CI tools.
Protocols in Python - Why You Need Them
Discover the power of Protocols in Python, their advantages over Abstract Base Classes, and how they can enhance your code quality and maintainability.
From Pip to Poetry - Python Ways of Packaging and Publishing
Explore Python package management evolution, from pip to poetry. Learn to create, share, and publish packages efficiently, choosing the best tool for your needs.
Managing the Code Quality of Your Project - Leave the Past Behind - Focus on New Code
Explore the "Clean as you code" approach for managing code quality in legacy projects, focusing on recent changes to improve deliverables incrementally while maintaining productivity.
My Journey Using Docker as a Development Tool
Explore Docker for Python development, from basic images to advanced techniques. Learn to dockerize a FastAPI service, manage dependencies, run tests, and optimize for production environments.
An Introduction to Apache TVM
Explore Apache TVM's Python API for deep learning model compilation. Learn installation, features, and practical applications for CPUs and microcontrollers through hands-on demos and examples.
Elephants, Ibises and a More Pythonic Way to Work with Databases
Explore a Pythonic approach to database interactions using Ibis, comparing it with traditional SQL methods and showcasing its versatility across various database engines.
The Beginner’s Data Science Project Checklist
Aprenda dicas essenciais para projetos de ciência de dados, desde definição de requisitos até apresentação de resultados, com foco em reprodutibilidade, documentação e ferramentas Python úteis.
Property-Based Testing the Python Way
Explore property-based testing with Hypothesis in Python, comparing it to traditional approaches and learning when to apply this powerful technique for more robust software testing.
What Happens When You Import a Module
Explore the intricate process of Python module imports, including file discovery, loading mechanisms, and customization options. Gain insights into finders, loaders, and the inner workings of this fundamental feature.
PySnooper - Never Use Print for Debugging Again
Discover PySnooper, a powerful debugging tool for Python. Learn to create code intelligence tools, make open-source projects viral, and explore alternative debugging solutions like PuDB.
Taking Charge of Your Race Conditions
Explore techniques for testing and managing race conditions in concurrent programming, focusing on Python tools and strategies to identify, reproduce, and resolve these challenging scenarios.
Using Python to Manage Software Bill of Materials
Learn to create and manage Software Bill of Materials (SBOMs) using Python, enhancing software security and compliance tracking in complex development environments.
Automate the Boring Stuff with Slackbot - Ver. 2
Learn to create a Slackbot using Bolt for Python to automate tasks like emoji reactions, calculations, issue tracking, and account management. Explore practical examples and API integrations.
The Intricate Art of Making Your -Internal- Clients Happy - The Story From a Python-Centered Infra Team
Discover strategies for successful internal tool development, including avoiding common pitfalls, effective delivery approaches, and lessons learned from real-world experiences in a large-scale ML infrastructure team.
Building a Just-in-Time Python FaaS Platform with Unikraft
Explore Unikraft's unikernel technology for building efficient, specialized Python FaaS platforms with fast boot times, small footprints, and enhanced security, integrated with major orchestration frameworks.
How We Are Making Python 3.11 Faster
Explore key optimizations in Python 3.11, including adaptive specializing interpreter, zero-cost exceptions, and object layout improvements, enhancing performance for the "Faster CPython" project.
Predicting Urban Heat Islands in Calgary
Learn to predict urban heat islands using satellite imagery and geospatial Python libraries. Explore spatial regression methods, data processing, and visualization techniques for sustainable urban planning.
Open Science - Building Models Like We Build Open-Source Software
Explore the concept of developing pre-trained models collaboratively, applying open-source software principles to machine learning for wider participation and continuous improvement.
How I Wrote a Python Client for HTTP - 3 Proxies
Explore the development of a Python client for HTTP/3 proxies using MASQUE protocol, covering proxy design, HTTP versions, and asyncio implementation challenges.