🐍 Python Lesson 1: Your First Step into the Data Universe

Welcome to your first technical masterclass at Tadashi’s HUB. Today, we aren't just "learning code"—we are setting up a professional workstation and building a real-world project.


Part 1: Setting Up Your Laboratory (VS Code & Python)

Before we can analyze data, we need the right tools. We are going to use Visual Studio Code (VS Code), the world’s most popular editor for developers.

Step 1: Install Python

  1. Go to python.org/downloads.

  2. Download the latest version for your OS (Windows/Mac).

  3. CRITICAL: When running the installer, check the box that says "Add Python to PATH." If you miss this, your computer won't know how to run Python!

Step 2: Install Visual Studio Code

  1. Go to code.visualstudio.com.

  2. Download and install it like any other app.

Step 3: Connect VS Code to Python

  1. Open VS Code.

  2. On the left sidebar, click the Extensions icon (looks like four squares).

  3. Search for "Python" (by Microsoft) and click Install.

  4. Search for "Jupyter" and click Install. This allows us to run code in "blocks," which is much better for data work.


Part 2: Installing Your Data "Superpowers"

In Python, we use "Libraries"—pre-written code that handles the heavy lifting. Open your Terminal (Terminal > New Terminal in VS Code) and type this command:

pip install pandas matplotlib seaborn numpy
  • Pandas: The "Excel of Python." It handles tables and datasets.

  • Matplotlib & Seaborn: Your "Artists." They turn numbers into beautiful charts.

  • Numpy: The math engine that makes everything fast.

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