https://github.com/labex-labs/pandas-for-beginners

This comprehensive course covers the fundamental concepts and practical techniques of Pandas, the essential library for data manipulation and analysis in Python. Learn to create, manipulate, and analyze data efficiently using DataFrames and Series.
https://github.com/labex-labs/pandas-for-beginners

challenges course exercises hands-on labex labs pandas playground programming python

Last synced: 3 months ago
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This comprehensive course covers the fundamental concepts and practical techniques of Pandas, the essential library for data manipulation and analysis in Python. Learn to create, manipulate, and analyze data efficiently using DataFrames and Series.

• Host: GitHub
• URL: https://github.com/labex-labs/pandas-for-beginners
• Owner: labex-labs
• Created: 2025-09-10T08:49:31.000Z (11 months ago)
• Default Branch: master
• Last Pushed: 2025-09-26T02:55:39.000Z (10 months ago)
• Last Synced: 2025-09-26T04:29:32.198Z (10 months ago)
• Topics: challenges, course, exercises, hands-on, labex, labs, pandas, playground, programming, python
• Homepage: https://labex.io/courses/pandas-for-beginners
• Size: 19.5 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Pandas for Beginners

## Languages

🇨🇳 [简体中文](README_zh.md) 🇪🇸 [Español](README_es.md) 🇫🇷 [Français](README_fr.md) 🇩🇪 [Deutsch](README_de.md) 🇯🇵 [日本語](README_ja.md) 🇷🇺 [Русский](README_ru.md) 🇰🇷 [한국어](README_ko.md) 🇧🇷 [Português](README_pt.md) 🇺🇸 [English](README.md) 

[![Pandas for Beginners](https://cover-creator.labex.io/pandas-for-beginners.png)](https://labex.io/courses/pandas-for-beginners)

[![Start-Learning](https://img.shields.io/badge/Start-Learning-whitesmoke?style=for-the-badge)](https://labex.io/courses/pandas-for-beginners)

This comprehensive course covers the fundamental concepts and practical techniques of Pandas, the essential library for data manipulation and analysis in Python. Learn to create, manipulate, and analyze data efficiently using DataFrames and Series.

![Pandas](https://img.shields.io/badge/Pandas-whitesmoke?style=for-the-badge&logo=pandas)

![Python](https://img.shields.io/badge/Python-whitesmoke?style=for-the-badge&logo=python)

## Exercises

|   Index | Name                                  | Difficulty   | Practice                                                                                                                                |

|---------|---------------------------------------|--------------|-----------------------------------------------------------------------------------------------------------------------------------------|

|       1 | 🧩 🆓 Pandas Introduction and Setup   | Beginner     | Start Lab   |

|       2 | 🧩 🆓 Pandas Creating DataFrames      | Beginner     | Start Lab      |

|       3 | 🧩 🆓 Pandas Reading External Data    | Beginner     | Start Lab    |

|       4 | 🧩 🆓 Pandas Selecting Data           | Beginner     | Start Lab           |

|       5 | 🧩 🆓 Pandas Filtering Data           | Beginner     | Start Lab           |

|       6 | 🧩 🆓 Pandas Sorting Data             | Beginner     | Start Lab             |

|       7 | 🧩 🆓 Pandas Basic Data Cleaning      | Beginner     | Start Lab      |

|       8 | 🧩 🆓 Pandas Descriptive Statistics   | Beginner     | Start Lab   |

|       9 | 🧩 🆓 Pandas Grouping and Aggregating | Beginner     | Start Lab |

## About LabEx

[LabEx](https://labex.io) is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience. With a strict 'Learn by Doing' approach, interactive online environments in the browser with automated step-by-step checks, structured content organization through the [Skill Tree](https://labex.io/learn) learning system, and a growing resource of 30 Skill Trees and over 6,000 Labs, [LabEx](https://labex.io) offers comprehensive practical education. The platform includes Labby, an AI learning assistant built on latest AI models, providing a conversational learning experience.

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- 🔗 [Pandas Free Tutorials](https://github.com/labex-labs/pandas-free-tutorials)