Installation can take up a lot time and space on your computer Installs Anaconda Navigator, Spyder, and many other tools that may not be needed Installs a long, pre-configured list of Python packages (many of which may not be used) You also learned that the conda package manager allows you to install Python packages on your computer as well as create and manage multiple Python environments, each containing different packages.Īlthough the conda package manager can be installed using either the Miniconda Python distribution or the Anaconda Python distribution, there are key differences between the two distributions: Anaconda Git Bash is used by Windows users to access both Git and Bash in one easy-to-install terminal. In the previous lesson, you learned that Git is a widely used tool for version control that allows you to track and manage changes to your files. Information below is adapted from materials developed by Data Carpentry and the Conda documentation. Open a terminal and test that Bash, Git, and Conda are ready for use on your computer.īefore you start this lesson, be sure that you have a computer with internet access.Install the Miniconda Python distribution.Download the version that includes Python 3.8 or above based on your operating system and its configuration (32 bit or 64 bit).At the end of this activity, you will be able to: 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.

Mini conda