Getting Started with Python

Before writing your first line of code, you need to set up Python and a coding environment on your system. This lesson will help you install Python, set up Jupyter Notebook, and learn how to install external libraries using pip.

Installing Python

Python can be downloaded for free from its official website. Make sure you install the latest stable version.

Go to the official Python website.
Download the installer for your operating system (Windows, macOS, or Linux).
Run the installer and ensure you select "Add Python to PATH" before installing.

Once installed, you can verify using:

python --version

Installing Jupyter Notebook

Jupyter Notebook is a popular tool for writing and running Python code interactively—perfect for learning and experimenting.

You can install it using pip:

pip install notebook

After installation, launch it using:

jupyter notebook

This will open a browser window where you can create and run .ipynb notebooks.

Using pip to Install Libraries

pip is Python's package manager. It helps you install additional libraries like pandas, numpy, matplotlib, and many more.

To install a library, simply run:

pip install library_name

For example, installing pandas:

pip install pandas

You can also update any library:

pip install --upgrade library_name

Checking Installed Libraries

You can view all installed packages using:

pip list

Why These Tools Matter

Python is the foundation of your data analytics journey.
Jupyter Notebook lets you experiment with code step-by-step.
pip allows you to install powerful data libraries used by professionals.

You're now ready to start coding and exploring Python further!

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