Jupyter Notebook remains a leading development tool, offering faster workflows through shortcuts, magic functions, improved debugging, AI integration, and performance upgrades that support modern ...

These are my go-to libraries for Python data crunching.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Each week contains a week-opening narrative, five chapters, five daily problem sets (solutions in Appendix E), a notebook per chapter with a "Your Turn" extension, a lab manual (Weeks 1–4, 7–8) or ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Take the Prerequisite Self-Test. It routes you: if you miss the calculus/probability/Python items, read Appendix A (Math Toolkit) and Appendix B (Python + LaTeX Setup) first. Doing this before Jun 22 ...