Pandas Basics – Learn Data Handling in Python

Welcome to the Pandas Basics repository! 🚀 This repo is a collection of notebooks and examples designed to help you learn the fundamental operations of Pandas, a powerful Python library for data analysis and manipulation.

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Topics Covered

Core Concepts

• Data Structures → Introduction to Series & DataFrames (Data_structure_1.ipynb)
• DataFrame Operations → Creating & working with DataFrames (DataFrame_2.ipynb)

Operations

• Arithmetic Operations (Arithmatic_operation_3.ipynb)
• Insert & Delete Columns/Rows (insert_delate_4.ipynb)

Working with Files

Reading CSV Files

• Basic CSV reading (CSV_File_5.ipynb)
• Using read_csv (read_csv.ipynb, read_csv_6.ipynb, read_csv_function_7.ipynb)

Sample Datasets → new.csv, new1.csv, new2.csv, test_data.csv, test.csv.xlsx

Data Cleaning

• Handling Missing Data (Handling_Missing_Data_8.ipynb)

Combining & Reshaping Data

• Merge & Concat (merge_concat_10.ipynb)
• GroupBy Operations (Groupby_11.ipynb)
• Join & Append (join_append_12.ipynb)
• Melt & Pivot (melt_pivot_13.ipynb)

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Learning Outcomes

By exploring this repository, you will: ✅ Understand the core structures of Pandas (Series & DataFrames) ✅ Perform basic operations like arithmetic, insertion, deletion ✅ Learn how to read and process CSV/Excel files ✅ Handle missing data effectively ✅ Master data merging, grouping, and reshaping techniques

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Contributing

• Contributions are welcome!
• If you’d like to improve explanations or add more examples, feel free to submit a pull request.

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Contact

For questions or suggestions:

📧 Email: msswati43215@gmail.com

GitHub: MuhammadSayyadKhan