Getting Started with Data Science Projects Using VS Code and Anaconda
Hey everyone, In this post, we'll dive into the practical aspects of setting up your environment for data science projects using VS Code and Anaconda. We'll cover how to create and manage environments, install necessary packages, and run Python scripts or Jupyter notebooks within VS Code. Let's get started! Setting Up Your Environment Step 1: Install Anaconda and VS Code First, ensure you have installed Anaconda and VS Code. If you haven't done this yet, you can download Anaconda from its official website and follow the installation instructions. Similarly, download and install VS Code. Step 2: Create a Python Environment Creating a specific environment for your project ensures that you have all the necessary packages and libraries without conflicts. Follow these steps: Open a Terminal in VS Code : Go to the Terminal menu and select "New Terminal". Create the Environment : Run the following command to create a new environment with Python 3.10: conda create -n ...