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This repository is a collection of Python code and exercises that document my learning journey in Python programming. It includes practice scripts, mini-projects, and notes covering core concepts such as data types, control flow, functions, file handling, and more.

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🐍 learningpython

Welcome to my learning journey in Python programming (for data analytics)!

This repository is a collection of Jupyter notebooks and exercises that document my hands-on exploration of Python. It includes practice scripts, mini-projects, and concept notes as I work through the fundamentals and practical applications of the language in data analysis.


πŸ“˜ What's Inside

Each notebook builds on a different Python concept:

Notebook Description
python_1.ipynb Introduction to Python syntax and variables
python_2.ipynb Data structures: tuple, list, set, and dictionary
python_3_(Pandas_and_if_loop).ipynb Working with Pandas and conditional logic
python_4_(for_loop).ipynb Understanding and applying for loops
python_5_(basic_pandas).ipynb Basic operations with Pandas DataFrames

🎯 Goals

  • Practice and reinforce Python syntax
  • Learn core programming concepts like control flow, functions, and data structures
  • Explore data analysis with Pandas
  • Build a solid foundation for future data science and automation projects

πŸš€ Getting Started

To run any notebook locally:

  1. Clone this repository
  2. Install Jupyter Notebook or JupyterLab
  3. Open any .ipynb file and explore!

About

This repository is a collection of Python code and exercises that document my learning journey in Python programming. It includes practice scripts, mini-projects, and notes covering core concepts such as data types, control flow, functions, file handling, and more.

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