✏️ Exercises
Small, focused exercises for every topic in 01-notes/ — each file mirrors the matching notes file in number and subject.
Format per question: problem description → Solution code block → optional Alternative approach.
How to Use
- Open the exercise file that matches the notes topic being studied.
- Read the question and attempt a solution independently.
- Reveal the Solution block to compare approaches.
- Where an Alternative is shown, understand why both work.
01 — NumPy
| File |
Questions |
Topics |
| 01-01-numpy-intro-exe.md |
8 |
array creation, arange/linspace, special arrays, list vs array, dtype, reshape, random, vectorized conversion |
| 01-02-numpy-array-operations-exe.md |
9 |
element-wise arithmetic, broadcasting, math functions, trig, rounding, where, clip, sort/argsort, stack |
| 01-03-numpy-slicing-and-indexing-exe.md |
8 |
1D slicing, views vs copies, boolean indexing, fancy indexing, where, replace, isin, unique |
| 01-04-numpy-2d-arrays-exe.md |
8 |
create, reshape, 2D indexing, boolean on 2D, row/col stats, transpose/dot, vstack, flatten vs ravel |
| 01-05-numpy-statistics-exe.md |
8 |
descriptive stats, argmin/argmax, percentiles, population vs sample std, cumsum, axis-wise, normalize, distributions |
02 — Matplotlib
| File |
Questions |
Topics |
| 02-01-matplotlib-basics-exe.md |
9 |
line plot, multiple lines, styles/markers, scatter, bar chart, horizontal bar, histogram, subplots, savefig |
03 — Pandas
| File |
Questions |
Topics |
| 03-01-pandas-basics-exe.md |
02 |
Series, boolean indexing, DataFrame, column/row access, inspect, filter, add/drop columns, sort, CSV I/O, apply |
| 03-02-pandas-data-manipulation-exe.md |
02 |
groupby, named agg, merge, concat, pivot table, melt, .str, missing values, apply, mini-analysis |
