Real Python
“Real Python” explores the speed considerations in Python programming, delving into the measurement metrics and productivity implications of development and run time bottlenecks. The podcast episode features Christopher Trudeau discussing PyCoder’s Weekly articles and projects. Additionally, the Langchain example demonstrates the importance of short-term memory in AI applications, showcasing how conversation history can be maintained for seamless continuity. The document also touches on the significance of data augmentation in machine learning models and the reliability of Python scripts in daily routines. These topics collectively provide insights into Python programming, AI applications, and machine learning practices.
Patch One Dependency or Upgrade Them All
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TDD With AI Agents: Design the Tests First, Let the Agent Implement
Learn how to use test-driven development (TDD) with AI agents in Python. Design the tests first, then let a coding agent write code that passes them.
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Quiz: TDD With AI Agents: Design the Tests First, Let the Agent Implement
Check your grasp of TDD with AI agents in Python. Write the contract and tests first, then let a coding agent implement code that passes them.
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Most C Extension Bugs Hide in Untested Error Paths
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Find Hidden Bugs by Throwing Random Data at Your Code
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Memory Management in Python
Take a deep dive into Python memory management and learn how CPython allocates and frees memory for your objects with arenas, pools, and blocks.
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The GIL Hides Your Thread Safety Bugs
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Large Datasets in Python With Polars LazyFrames
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Absolute vs Relative Imports in Python
Compare Python relative imports with absolute imports, weigh the pros and cons of each, and learn best practices for writing clean import statements.
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Thonny: The Beginner-Friendly Python Editor
Learn how to use Thonny, the free Python IDE built for beginners, to write, run, and debug your code with its step-by-step debugger.
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So Many Companies Still Skip Automated Testing
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Regular Expressions: Regexes in Python (Part 2)
Explore more regex tools in Python, including the re module's search, substitution, and utility functions, compiled regexes, and match objects.
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