NOTE: If you forgot to do this, the programs that you need for the workshop will not work properly.

Leave the selection on “Git from the command line and also from 3rd party software” and click on “Next”.

Run the installer by double-clicking on the downloaded file and by following the steps bellow: Installing Miniconda will help you avoid dependency issues or conflicts when setting up the earth-analytics-python conda environment that you need for the Python lessons on this website. If you already have Anaconda installed on your computer, you can still install Miniconda on your computer (see additional details in the Setup Miniconda section below). You can always add more Python packages as you need them! To limit the time and space needed for installation (and to minimize potential conflicts between packages), you will use the Miniconda Python distribution to get started with only packages that you need to complete the Python lessons on this website.

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.Thanks.At the end of this activity, you will be able to: So what should I do to create a pure Python virtual environment? In other words, when I export the package for a new virtual environment, I will get a blank requirements.txt. conda create -n my_env python=3.7īut when I wanted to export the package of the new environment to the requirements.txt file, I found that many other packages were already installed. When I use the following command to create a new virtual environment, it succeeds.

Mini conda