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It's very likely that throughout your journey with Python, you've heard people say that Python is slow. While there is a gap between interpreted and compiled languages ​​that favors compiled languages, Python has ways to improve the performance of your programs, but these aren't widely known among coders. In this talk, we'll explore some tools and programming patterns that will help you improve the performance of your programs, thereby improving the speed of your applications, tests, and products. After the presentation, you'll have a list of techniques you can apply to your code, as well as the necessary steps to continue exploring code optimization. No prior knowledge of code profilers or advanced techniques is required to attend this talk.

Python performance optimization profiling optimization
Moving beyond Slop Coding 2025-12-02 · 19:40
Matt Harrison – Python expert

AI can type faster than you. However, it has been trained on lots of naive or poor code (and a little decent code). Let's explore how you can take advantage of software engineering (and Python) best practices to help tame the bias of the AIs.

Python ai
Paweł Wiszniewski – Senior Data Engineer @ Flink SE

Python's generators offer a simple, elegant way to build lightweight data pipelines. In this talk, we’ll break down generator functions and expressions and walk through practical Data Engineering examples: streaming large datasets in chunks, transforming records without exhausting memory, and using yield for clean setup and teardown. A concise tour of how generators can make data workflows more efficient—and more elegant.

Python Data Engineering generators
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