It Works on My Machine - Writing Python Code for Any Environment
Learn techniques for writing Python code that works across different environments, versions, and operating systems. Gain insights from real-world examples and best practices for handling compatibility issues.
Publish Your Code So Others Can Use It in 5 Easy Steps
Learn to publish Python code effectively with tools like GitHub, Travis CI, and PyPI, enhancing usability and collaboration potential for your open-source projects.
Buildout Django eta Fabric - Kasu praktikoa euskarazko tokiko hedabideetan
Buildout, Django eta Fabric erabiliz tokiko euskal hedabideen plataforma kudeatzeko sistema. Hainbat zerbitzaritan banatutako instalazioak eguneratzeko eta mantentzeko irtenbide praktikoa.
You Need More Security in Your Application Packaging
Explore secure application packaging methods, focusing on Python, to balance ease of installation with robust security measures for different environments and audiences.
Python, Docker, Kubernetes, and Beyond
Journey through deploying Python applications: from standalone to Docker containers, and finally to Kubernetes. Learn about CI implementation, image storage, and efficient deployment using YAML and templating.
A Jupyter Enhancement Proposal Story
Explore the journey of submitting a Jupyter Enhancement Proposal, from conception to implementation, and learn about programmatic notebook conversions using custom metadata and templates.
Reno - A New Way to Manage Release Notes
Explore reno, a tool for managing release notes in multi-branch projects. Learn its design, usage, and impact on project and release processes.
Marge - A Bot for Better Git'ing
Discover Marge-bot, an innovative tool enhancing Git workflows by testing pull requests against target branches and offering additional conveniences for improved Continuous Integration practices.
Automating Testing and Deployment with Github and Travis
Streamline open-source project maintenance by automating testing and deployment using Github and Travis. Learn to create an efficient release pipeline, reducing errors and simplifying the process.
From Python Script to Open Source Project
Comprehensive guide to transform a Python script into a polished open-source project, covering structure, testing, automation, and best practices for community contribution and maintenance.
Software Patterns for Productive Teams
Strategies for enhancing team productivity in software development, addressing common challenges like merge conflicts, feature deadlocks, and communication issues in large Python/Django projects.
Modern Continuous Delivery for Python Developers
Explore modern deployment techniques for Python, focusing on avoiding vendor lock-in and creating flexible, future-proof setups for seamless transitions between cloud platforms.
Tools for Maintaining an Open Source Python Project
Discover essential tools for open source Python project maintenance, covering packaging, testing, documentation, and community management. Enhance your development workflow and project sustainability.
Deploy Your Machine Learning Bots Like a Boss with CI/CD
Learn to deploy machine learning chatbots using CI/CD, covering load balancing, testing, and model retraining. Gain practical insights for taking prototypes to production and iterating faster.
Create Beautiful and Localized Documentations and Websites Using MkDocs + Github
Learn to create stunning, multilingual documentation and websites using MkDocs and Github Pages. Discover new features, localization support, and best practices for building feature-rich content.
Python & Visual Studio Code - Revolutionizing the Way You Do Data Science
Discover how Visual Studio Code, GitHub, Codespaces, and Azure ML enhance Python data science productivity. Learn about VS Code Notebooks, Data Wrangler, collaboration features, and deployment options.
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.
Forget Mono vs. Multi-Repo - Building Centralized Git Workflows with Python
Discover a Python-based solution for unified Git workflows, transcending the mono vs. multi-repo debate and significantly enhancing CI/CD efficiency across all services.
Automated Refactoring Large Python Codebases
Learn to build automated refactoring tools using LibCST and MonkeyType for large Python codebases, and automate code reviews with GitPython/PyGithub to improve code quality at scale.
Python, Visual Studio Code, Copilot - Revolutionizing the Way You Do Data Science
Explore how Visual Studio Code, GitHub, Codespaces, and Copilot enhance data science workflows, boosting productivity through advanced tools like VS Code Notebooks, Data Wrangler, and AI-assisted coding.
CLI Application Development Made Easier with Typer
Discover Typer: the easiest way to create user-friendly command-line applications. Learn key features, structuring techniques, and effortless packaging for publishing your CLI tools.