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Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...

Grok the faster interpreter in Python 3.14, learn what’s new in Python packages and PyPI, explore the new Python-to-C features in Cython 3.1, and seize the power of Python’s abstract base classes. In ...

Building an AI agent can start with surprisingly little code. Python basics, an LLM API, a few tools, and a defined task are often enough for an early ...

Python and statistics still sit at the center of data science, but the work surrounding them has expanded. Professionals now move from cleaning data and testing hypotheses into predictive modeling, ...

Learn how to seize the power of Python’s dataclasses, editable installs, virtual environments, and new free-threaded build.