How long does the Series & DataFrame: the two shapes of pandas lesson take?

About 12 minutes end-to-end. It's a hands-on lesson — you read a paragraph, edit the code, and run it in the same tab.

Do I need to install Python to try the Series & DataFrame: the two shapes of pandas lesson?

No install required. PyRun runs real CPython in your browser via Pyodide (Python compiled to WebAssembly). Works on Chrome, Firefox, Safari, and Edge — desktop or mobile.

What level is the Series & DataFrame: the two shapes of pandas lesson?

Advanced level. Assumes comfort with classes, functions, and standard library. Not for first-time Python learners.

Series & DataFrame: the two shapes of pandas

Advanced
12 min
Data
data · pandas · series · dataframe
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Lesson 6 of 10

In this track

SQLite with Python's sqlite312 min
SQL joins that actually make sense15 min
SQLAlchemy Core — SQL as Python15 min
SQLAlchemy ORM — objects that persist18 min
Database migrations with Alembic15 min
Series & DataFrame: the two shapes of pandas12 min
Cleaning messy data14 min
Filtering, querying & top-N12 min
groupby & aggregation15 min
Combining tables: merge, join & concat15 min

Advanced · 14 minCleaning messy dataReal datasets arrive dirty: missing cells, wrong dtypes, duplicate rows. Fix them with isna/fillna/dropna, to_numeric, rename and drop_duplicates.Advanced · 12 minFiltering, querying & top-NSlice rows with boolean masks, read them cleanly with query(), then rank with sort_values and head() to answer top-N questions.Advanced · 15 mingroupby & aggregationSplit rows into groups, aggregate each with sum/mean/count, compute several stats at once with named agg, and sort the summary.

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