Latest Episode
Preparing Data Science Projects for Production (14.11.2025)
Previous Episodes
- Advice for Writing Maintainable Python Code
- Michael Kennedy: Managing Your Own Python Infrastructure
- Benchmarking Python 3.14 & Enabling Asyncio to Scale
- Evolving Teaching Python in the Classroom
- Python 3.14: Exploring the New Features
- Advice on Beginning to Learn Python
- Managing Feature Flags & Comparing Python Visualization Libraries
- Dangers of Automatically Converting a REST API to MCP
- Python App Hosting Choices & Documenting Python's History
- Large Language Models on the Edge of the Scaling Laws
- Exploring Mixin Classes in Python
- Travis Oliphant: SciPy, NumPy, and Fostering Scientific Python
- Selecting Inheritance or Composition in Python
- Harnessing the Power of Python Polars
- Design Patterns That Don't Translate to Python
- Supporting the Python Package Index
- Comparing Real-World Python Performance Against Big O
- Solving Problems and Saving Time in Chemistry With Python
- Structuring Python Scripts & Exciting Non-LLM Software Trends
- Scaling Python Web Applications With Kubernetes and Karpenter
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