\( \newcommand{\vect}[1]{\mathbf{#1}} \newcommand{\mat}[1]{\mathbf{#1}} \newcommand{\R}{\mathbb{R}} \newcommand{\E}{\mathbb{E}} \newcommand{\Prob}{\mathbb{P}} \newcommand{\T}{^{\top}} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\abs}[1]{\lvert #1 \rvert} \newcommand{\ihat}{\mkern1mu\hat{\boldsymbol{\imath}}\mkern2mu} \newcommand{\jhat}{\mkern1mu\hat{\boldsymbol{\jmath}}\mkern2mu} \newcommand{\pd}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\argmax}{\operatorname*{arg\,max}} \newcommand{\argmin}{\operatorname*{arg\,min}} \newcommand{\cdata}[1]{\class{c-data}{#1}} \newcommand{\cmodel}[1]{\class{c-model}{#1}} \newcommand{\ctruth}[1]{\class{c-truth}{#1}} \newcommand{\cgrad}[1]{\class{c-grad}{#1}} \newcommand{\closs}[1]{\class{c-loss}{#1}} \newcommand{\cparam}[1]{\class{c-param}{#1}} \newcommand{\csecond}[1]{\class{c-second}{#1}} \renewcommand{\,}{\mkern3mu} \)

P02 · Scientific Python: NumPy, pandas and Plotting

A free, illustrated L1 course of 9 modules in the Programming and Data track. Modules include: Arrays, shapes and data types; Broadcasting and vectorization; Indexing, slicing and views.

P02 L1 · Core 9 modules · about 36 lessons Planned · Ring 1

Part of the Programming and Data track. Ships in Ring 1 (Foundation) of the roadmap.

Modules

1. Arrays, shapes and data types
2. Broadcasting and vectorization
3. Indexing, slicing and views
4. DataFrames and Series
5. Cleaning, reshaping and joining
6. Group-by and aggregation
7. Dates, text and categories
8. Plotting with Matplotlib and seaborn
9. Reproducible notebooks

Signature illustrations

The pictures a learner should still see in their head a year later:

Broadcasting stretch diagrams, split-apply-combine pictures, row-matching diagrams for joins, wide-to-long reshaping.

Status

This course is planned, not written yet. It ships with Ring 1 (Foundation).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.