Question and Answers

Here are the best free places to practice pandas with hands-on exercises and worked solutions, plus a couple of structured courses to build mastery quickly.

Top exercise sites

• w3resource Pandas Exercises: 3,000+ problems across Series, DataFrame, indexing, groupby, joins, time series, cleaning, plotting, Excel/SQL, each with solutions and explanations.

Pandas Custom Functions Exercises - Apply, Map, and Applymap

Learn how to use Pandas custom functions with apply(), map(), and applymap() for element-wise, row-wise, and column-wise operations with hands-on exercises and solutions.



www.w3resource.com


• pandas_exercises (GitHub repo): curated, real-data problem sets by topic with “instructions,” “solutions without code,” and “solutions with code,” ideal for stepwise learning and self-checking.

GitHub - guipsamora/pandas_exercises: Practice your pandas skills!

Practice your pandas skills! Contribute to guipsamora/pandas_exercises development by creating an account on GitHub.

github.com

• MachineLearningPlus “101 Pandas Exercises”: progressive, interview-style practice with concise solutions to build speed and fluency.

Structured free courses with practice

• Kaggle Learn Pandas: short, interactive lessons with auto-graded exercises; great for guided, practical drills and immediate feedback.
• W3Schools Pandas Exercises: bite-sized quizzes and fill-in exercises mapped to tutorial sections; quick checks for fundamentals and syntax recall.

Extra practice and datasets

• Kaggle “Pandas 24 useful exercises with solutions”: compact notebook of practical tasks with answers to reinforce common patterns.
• Kaggle “Pandas Practice Dataset” collection: ready-to-use data to practice loading, cleaning, joining, and analysis with pandas in notebooks.
• Python In Practice Pandas exercises: notebook-style prompts spanning DataFrame creation, loading CSV/Sheets, and transformations for applied learning.

Free book-style resources

• Pandas official PDF docs: comprehensive reference and user guide; pair with the exercises above to look up idioms and edge cases.
• “Pandas for Everyone” sample chapters (Pearson): approachable walkthroughs on DataFrame/Series, cleaning, combining, plotting—use as reading plus practice mix.

Project-based practice

• 12 free projects to practice Python and pandas: real-world, end-to-end tasks sorted by difficulty to translate skills into portfolio pieces.
• YouTube walkthrough of 100 pandas puzzles: work through problems from easy to hard with guided solutions to learn techniques and reasoning patterns.

Recommended study path

• Start with Kaggle Learn Pandas for a fast baseline and interactive checks, then do MachineLearningPlus “101 Exercises” to internalize core transforms.
• Move to w3resource for deeper coverage by topic, and use the pandas_exercises repo to simulate real-data tasks with stepwise solutions when stuck.
• Supplement with the official docs or the free “Pandas for Everyone” sample when encountering new APIs, then lock skills with a small Kaggle project or the 12-project list.

Direct links to begin

• Kaggle Learn Pandas (interactive).
• w3resource Pandas Exercises (solutions included).
• pandas_exercises GitHub (instructions + solutions).
• 101 Pandas Exercises (with answers).
• Kaggle notebook: 24 exercises with solutions.