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Programmatically Developing LLM Prompts With DSPy | Real Python Podcast #306
Performance Engineering: Profiling and Making Apps Fast by Default | Real Python Podcast #310
Navigating Silent Failures in AI: Strategies for Effective Oversight | Real Python Podcast #308
Building Python Unit Tests & Exploring a Data Visualization Gallery | Real Python Podcast #206
Improving Python Through PEPs and Protocols | Real Python Podcast #297
Improving NumPy Performance on Free-Threaded Python | Real Python Podcast #307
Telling Effective Stories With Your Python Visualizations | Real Python Podcast #240
Exploring Complex Systems & Maintainable Data Science Pipelines | Real Python Podcast #309
Exploring Code Reviews in Python and Automating the Process | Real Python Podcast #183
Overcoming Testing Obstacles With Python's Mock Object Library | Real Python Podcast #286
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Last Updated: September 18, 2026
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Summary
What's a good way to enable or disable code paths without redeploying the software? How can you use What goes into creating the tutorials you read at What are the latest trends uncovered in the 2026 Django Developers Survey? How are Django users employing LLMs in their ... What are the benefits of using a decoupled data processing system? How do you write reusable queries for a variety of backend ... How can you avoid schema problems in your Polars data pipeline when adding new columns? How can you quickly examine a ... How can you move from manually writing prompts for an LLM application toward defining them programmatically? This week on ... How do you plan for the performance of your Why do AI systems silently fail? How can you set up a system that produces results while also reviewing and validating the work? How do you start adding unit tests to your Have you ever been confused by the naming of modules you're importing from a package? Is there a standard way to organize ... What bottlenecks were preventing NumPy from scaling on free-threaded What are the key characteristics of complex systems, and what are practical patterns for tackling complex coding problems? What goes into a code review in Do you have complex logic and unpredictable dependencies that make it hard to write reliable tests? How can you use
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