Intro to Python for Data Science

This repository contains a beginner-friendly Jupyter Notebook to help you get started with Python programming.

What You’ll Learn

• What Python is and why it’s useful in data science
• How to use Jupyter Notebook
• Python fundamentals (variables, data types, loops, functions, etc.)
• Working with data structures (lists, dictionaries, sets)
• Intro to NumPy and Pandas

Requirements

• Python 3.9+
• Jupyter Notebook (comes with Anaconda)

How to Run

1. Install Anaconda (recommended)
   or install Jupyter manually with:

   pip install notebook

2. Clone this repository:

   cd Desktop

   You can put it in any other folder like document, if you prefer.

   git clone https://github.com/amandapada/intro-to-python-for-datascience.git

3. Open the folder and start Jupyter Notebook:

   jupyter notebook

4. Open the notebook file (intro_to_python.ipynb) and run the cells with Shift + Enter.

References

• Python Crash Course, 3rd Edition – Eric Matthes (No Starch Press, 2023). A project-based intro to Python covering basics, games, data viz, and web apps.
• Python 101: 2nd Edition – Michael Driscoll (2020). Great for both beginners and intermediate learners, with hands-on app and distribution guides.
• Data Science with Pablo – YouTube Channel