How to Install Python in VS Code and Set Up Jupyter NoteBook with Numpy, Matplotlib, Pandas, Scikit Learn, and Tensor Flow

Python is a powerful programming language that is widely used in the field of data science and machine learning. It offers a variety of libraries that make data manipulation, visualization, and analysis easier. One popular integrated development environment (IDE) for Python programming is Visual Studio Code (VS Code). In this tutorial, we will walk you through the process of installing Python, VS Code, Jupyter Notebook, and some essential libraries like Numpy, Matplotlib, Pandas, Scikit Learn, and Tensor Flow.

Step 1: Install Python
The first step is to install Python on your machine. You can download the latest version of Python from the official website (https://www.python.org/downloads/). Make sure to select the appropriate version for your operating system (Windows, macOS, or Linux) and follow the installation instructions.

Step 2: Install Visual Studio Code
Next, you need to install Visual Studio Code, which is a cross-platform code editor developed by Microsoft. You can download VS Code from the official website (https://code.visualstudio.com/download) and follow the installation instructions.

Step 3: Install Jupyter Notebook
Jupyter Notebook is a web-based interactive computing tool that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. You can install Jupyter Notebook using the following command in your terminal:

pip install notebook

Step 4: Install Numpy, Matplotlib, Pandas, Scikit Learn, and Tensor Flow
Numpy is a powerful library for numerical computing in Python, Matplotlib is a plotting library for creating static, interactive, and animated visualizations, Pandas is a data manipulation and analysis library, Scikit Learn is a machine learning library, and Tensor Flow is an open-source machine learning framework developed by Google. You can install these libraries using the following commands in your terminal:

pip install numpy
pip install matplotlib
pip install pandas
pip install scikit-learn
pip install tensorflow

Step 5: Configure VS Code for Python Development
Open Visual Studio Code and install the Python extension by Microsoft. This extension provides rich support for Python programming in VS Code, including syntax highlighting, code completion, linting, debugging, and more. You can install the Python extension by navigating to the Extensions view (Ctrl+Shift+X), searching for "Python", and clicking on the Install button.

Step 6: Create a Python Script
Now, you can create a new Python script in Visual Studio Code by clicking on File > New File and saving it with a .py extension. You can start writing your Python code in the editor and run it using the Python interpreter.

Step 7: Create a Jupyter Notebook
To create a Jupyter Notebook in VS Code, click on the New File dropdown menu and select New Jupyter Notebook. You can run cells of code interactively in the notebook and visualize the output using Matplotlib for plotting.

Congratulations! You have successfully installed Python, VS Code, Jupyter Notebook, and essential libraries like Numpy, Matplotlib, Pandas, Scikit Learn, and Tensor Flow. You are now ready to start coding in Python for data science and machine learning projects. Have fun exploring the capabilities of these powerful tools!