This repository is dedicated to learning and practicing Pandas through a series of 15 questions. It is designed to provide a quick, practical introduction to the fundamentals of Pandas and DataFrame operations.
- Learn Basic Pandas in 15 Qs: A set of 15 questions to help you build a solid understanding of Pandas basics.
- Learn More: Advanced concepts and additional topics to further your learning.
- Introduction to Pandas: Overview and introduction to Pandas, including installation, basic functions, and data manipulation techniques.
├── Pandas_Data_Structures/
│ ├── 1.Create_a_DataFrame_from_List.py
├── Data_Inspection/
│ ├── 2.Get_the_Size_of_a_DataFrame.py
│ ├── 3.Display_the_First_Three_Rows.py
├── Data_Selecting/
│ ├── 4.Select_Data.py
│ ├── 5.Create_a_New_Column.py
├── Data_Cleaning/
│ ├── 6.Drop_Duplicate_Rows.py
│ ├── 7.Drop_Missing_Data.py
│ ├── 8.Modify_Columns.py
│ ├── 9.Rename_Columns.py
│ ├── 10.Change_Data_Type.py
│ ├── 11.Fill_Missing_Data.py
├── Table_Reshaping/
│ ├── 12.Reshape_Data_Concatenate.py
│ ├── 13.Reshape_Data_Pivot.py
│ ├── 14.Reshape_Data_Melt.py
├── Advanced_Techniques/
│ ├── 15Method_Chaining.py
└── README.md
- Python 3.x
- Pandas library (install with
pip install pandas
)
- Clone this repository to your local machine:
git clone "https://github.com/Muawiya-contact/LeetCode-Pandas-Learning.git"
- Navigate to the folder for each section to access the questions and solutions.
- To run the Python solutions, make sure you have Pandas installed. You can install it via:
pip install pandas
- Refer to the
Learn More
section for advanced topics and real-world examples to deepen your understanding.
Feel free to fork this repository and contribute improvements, additional questions, or solutions.
This repository is licensed under the MIT License.
Copyright (c) 2025 Muawiya-contact: [email protected]
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💌 Email: [email protected]
🐙 GitHub: @Muawiya-contact
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💻 LeetCode: Moavia_Amir
📊 Kaggle: Moavia Amir