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Practice how Python's .__dict__ attribute works for classes, instances, and functions, and when mappingproxy and __slots__ come into play.

Explore Python's t-strings, including their syntax, use cases, and differences from f-strings and older approaches.

Test your knowledge of Python profiling and performance tools. Practice identifying bottlenecks and using profilers like cProfile and timeit.

Explore how Python 3.14's lazy evaluation of annotations boosts performance, fixes chronic type hinting issues, and unlocks powerful new runtime uses.

Test your knowledge of annotations and type hints, including how different Python versions evaluate them at runtime.

Learn to profile Python programs with built-in and popular third-party tools, and turn performance insights into faster code.

Learn to write effective Python docstrings that clearly and professionally document your code using best practices and built-in conventions.

Test your knowledge of Python docstrings, including syntax, conventions, formats, and how to access and generate documentation.

Test your Python knowledge in a skill quiz with basic to advanced questions. Are you a Novice, Intermediate, Proficient, or Expert?

What went into developing the open-source Python tools data scientists use every day? This week on the show, we talk with Travis Oliphant about his work on SciPy, NumPy, Numba, and many other contributions to the Python scientific community.