Real Python
βReal Pythonβ 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 PyCoderβs 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.
Lazy Imports: Faster Startup!
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Language Is Not Intelligence
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The Real Python Podcast β Episode #302: Constructing and Judging Modern Agentic Workflows
How can you improve your LLM agent systems through specification enrichment? What are the advantages of having an LLM act as a judge within an agent system? This week on the show, Senior IEEE Member a...
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4 Building Blocks Behind Every AI Agent
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Testing MCP Servers With a Python MCP Client: Preparing & Structuring Your MCP Client
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Quiz: Build Enumerations of Constants With Python's Enum
Test your understanding of Python's Enum class, from grouping related constants to using IntEnum and IntFlag for integer and bitwise behavior.
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Is RAM the New Diamond? AI's Wild Side Effect
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How to Use GitHub
Learn how to use GitHub step by step to create a remote repository, push your local Python project, and collaborate with others using GitHub Issues.
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Quiz: How to Use GitHub
Practice putting a Python project on GitHub by creating a remote repository, pushing your local code, and collaborating with others.
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Agentic Coding in Cursor, the AI-Powered IDE
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Testing MCP Servers With a Python MCP Client
Learn how to build a Python MCP client that tests MCP servers from your terminal. List their tools, prompts, and resources, then call each one.
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Quiz: Testing MCP Servers With a Python MCP Client
Build a command-line MCP client in Python, connect it to servers over stdio, and test their tools, prompts, and resources.
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