Visit the Visual Studio site to access links for the most current versions of the Visual Studio 2022 products. Additional 17.0 LTSC products can be found on the Visual Studio Subscriptions site. For more information about Visual Studio supported baselines, please review the Support Policy for Visual Studio 2022.Ĭlick one of the buttons below to download the most secure release of Visual Studio 2022 version 17.0 from the 17.0 LTSC channel. | Whats New in Visual Studio Docs Visual Studio 2022 version 17.0 Support TimeframeĮnterprise and Professional users of Visual Studio 2022 version 17.0 who are configured to receive updates on the 17.0 LTSC channel are supported and will receive fixes to security vulnerabilities through July 2023.
Download the version that includes Python 3.8 or above based on your operating system and its configuration (32 bit or 64 bit).Watch the recordings of the Visual Studio 2022 launch event to learn about what's new, hear tips & tricks, and download free digital swag. 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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