Python Setup for Data Science

Now that we understand what data science is, let's set up our development environment. By the end of this tutorial, we'll have everything we need to start analyzing data like a pro.

Installing Python

Option 1: Anaconda (Recommended)

Anaconda is a Python distribution that comes with everything pre-installed:

1. Download from anaconda.com
2. Install (it's about 3GB)
3. Open Anaconda Navigator
4. Launch Jupyter Notebook

Pros: Everything works out of the box
Cons: Large download size

Option 2: Python + pip

We can also choose to have a lighter setup:

# Check if Python is installed
python --version

# Install essential packages
pip install pandas numpy matplotlib seaborn jupyter scikit-learn

What's Next?

In the next post, we'll dive into Learning about essential python libraries.

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Resources:

• Jupyter Documentation
• pandas Cheat Sheet
• Matplotlib Gallery

Got stuck? Drop a comment or reach out - I'm here to help!