Note: If you'd like to become more familiar with the Python programming language, review More Python resources. An "environment" in Python is the context in which a Python program runs and consists of an interpreter and any number of installed packages. This article discusses the helpful Python environments features available in Visual Studio Code. Configure IntelliSense for cross-compilingĮdit Using Python environments in VS Code.Download the version that includes Python 3.8 or above based on your operating system and its configuration (32 bit or 64 bit). Use the following link to download the Miniconda. It includes only conda, Python, the packages they depend on, and a small number of other useful packages, including pip, zlib and a few others. Miniconda is the smaller installer version of the Conda. Step 1.1: The very first step is to download the Miniconda. Downloading and installing Visual Studio Code.It is maintained by Microsoft and absolutely free to use. The entire process involved downloading Miniconda (python library manager) and Visual Studio Code, installing them, and creating an environment for managing and handling project libraries.īecause it is small in size, easy to download, and only contains required libraries and dependencies which require minimum installation time.īecause VS Code is one of the best integrated development environment (IDE) with awesome look and up-to-date functionalities used by millions of developers worldwide. In this tutorial, we will go through the whole process from downloading to installing Python and setting a custom environment for personal projects. With advancements in open-source package managers, it has become simple and straightforward. Setting up Python and running it smoothly on your PC is essential for data analytics or computational work.
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