Best of Planet Python โ June 2024
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Planet Pythonยท2y
[June 2024] Python Monthly Newsletter ๐ป๐
Stay updated with the latest in Python and tech through this monthly newsletter. It includes curated important Python articles, resources, and tools. Highlights include NVIDIA's new Warp library for high-performance simulation, a recap of the annual Python conference, and insights into AI strategies from tech giants like Apple, Meta, and Google. Additionally, the newsletter touches on interesting tech stories and discussions about industry trends and software practices.
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Planet Pythonยท2y
The State of Django 2024
Discover the latest trends in Django development, including the use of Flask and FastAPI alongside Django, the popularity of Django for both full-stack and API development, the shift towards htmx, Alpine.js, and Tailwind CSS for frontend development, and the favored databases, container orchestration, CI systems, and infrastructure as code solutions among Django developers.
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Planet Pythonยท2y
Getting started with network automation in Python
Learn how to get started with network automation using a Python-based integration platform. This approach not only automates network devices but also connects with cloud applications like Jira and Microsoft 365, greatly enhancing efficiency and workflow management.
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Planet Pythonยท2y
Python Logging Book Released!
Learn about logging in Python with the book 'Python Logging'. Explore logger objects, log levels, log handlers, log formatting, log configuration, logging decorators, rotating logs, logging and concurrency, and more! Purchase the book online and find the code on GitHub.
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Planet Pythonยท2y
What is the Repository Pattern and How to Use it in Python?
The repository pattern helps separate business logic from data access code by providing a unified interface for interacting with different data sources. It enhances flexibility, maintainability, and decoupling in a system. This post includes a practical Python example using `sqlmodel` and demonstrates how to implement repository interfaces for SQLite and CSV storage backends. By using this pattern, you can easily swap data access implementations without changing the business logic, making your code easier to test and maintain.
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