Does it support different difficulty levels?

Yes, you can choose between Easy (single-concept), Medium (2-3 concepts), and Hard (multi-step architectural challenges) levels.

What topics does the Python Practice skill cover?

The skill focuses on two main areas: pandas (data cleaning, time series, grouping, and plotting) and core algorithms (sorting, searching, recursion, and data structures).

How are the practice notebooks structured?

Each notebook contains a setup cell with imports, markdown cells for challenges, empty code cells for your solutions, and expandable HTML tags for hints and correct answers.

Will I get the same questions every time I run the skill?

No, the skill uses randomization for tickers and data values. It can also scan your previous notebooks to ensure it generates unique challenges each time.

Can I use real-world data in the generated exercises?

Yes, the skill includes scripts to fetch real-time market data from Yahoo Finance, allowing you to practice pandas operations on actual stock price history.

Python Practice Tutor

Name: Python Practice Tutor
Author: jwplatta

byjwplatta

0•

数据科学与机器学习

Generates customized Jupyter notebook practice challenges for Python algorithms and pandas data manipulation.

Python Practice Tutor is a specialized learning skill that transforms Claude into an interactive coding instructor. It creates comprehensive Jupyter notebooks (.ipynb) tailored to your specific needs, covering core algorithms, data structures, and advanced pandas workflows. By leveraging real-world financial data from Yahoo Finance and randomized datasets, it ensures that no two practice sessions are the same. Each generated notebook includes structured challenges, setup code with necessary imports, hidden hints for guided learning, and embedded solutions to facilitate immediate feedback and skill mastery.

主要功能

01Real-time market data integration using Yahoo Finance for authentic pandas practice.

020 GitHub stars

03Customizable difficulty levels ranging from beginner-friendly to complex multi-step problems.

04Intelligent duplication prevention by scanning previous exercise history.

05Automated Jupyter notebook generation with interactive prompts and hidden solutions.

06Comprehensive coverage of time-series analysis, data cleaning, and algorithmic logic.

使用场景

01Generating fresh coding exercises for students or mentees to practice specific Python concepts.

02Building a custom curriculum for learning data manipulation and financial analysis in pandas.

03Preparing for data science or software engineering technical interviews with algorithmic drills.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jwplatta/ml_gym python-practice

For use in Claude.ai and ChatGPT

Download Skill