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Tagged “Software Architecture”
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Python Bytes: Optional GIL, FerretDB, and Coding Tips
This episode of Python Bytes covers the groundbreaking PEP 703, proposing an optional GIL for CPython 3.12 to unlock performance for multi-threaded applications. The hosts discuss the technical challenges and optimizations behind this, inc…
39m 38s -
Open Source Contributions, DSLs, and Python Async Tools
This episode focuses on best practices for contributing to open source projects, highlighting the importance of reading documentation, submitting focused pull requests, and maintaining communication with maintainers. We explore TextX, a po…
38m 24s -
Python Developer Tools: Formatting, Visualization, and Testing
In this episode, we dive into powerful tools for Python developers, focusing on simplifying datetime formatting with pystrftime.com and creating interactive graphs using pandas-bokeh. We explore the innovative NBDev framework, which bridge…
38m 18s -
Sloppy Python, Async Frameworks, and Modern Tech Trends
This episode explores the utility of quick, "sloppy" automation scripts for personal productivity while analyzing the shift toward asynchronous programming with ASGI and modern frameworks like Quart and Starlet. The discussion further exam…
30m 15s -
Python Tools: NB Grader, Profanity Filtering, and Dependency Injection
Episode 112 of Python Bytes covers a variety of practical tools and architectural discussions. The show introduces NB Grader for automated Jupyter Notebook assignments and the impressively fast profanity-check library for content moderatio…
28m 47s -
Python Byte-Sized Updates: Flask, Async, and Testing
This episode of Python Bytes covers a variety of practical topics for Python developers. The hosts explore Quanticon, a resource for economic modeling using open-source tools. There is a detailed discussion on properly structuring Flask ap…
26m 52s -
Python Ecosystem: Design Patterns, Arctic, and Governance
In this episode, the hosts explore the application of traditional architectural design patterns in Python and introduce Arctic, a high-performance framework for time series data analysis using MongoDB and Pandas. The discussion moves to th…
23m 49s -
Python 3 Migrations and Performance Optimization
This episode focuses on the transition from Python 2 to Python 3, emphasizing practical strategies for legacy code migration and the importance of adopting standard tools like the new PyPI.org. A major portion of the discussion covers how …
24m 01s
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