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![]() Both the graphical environment manager and package manager are visual front-ends to conda. #Anaconda navigator tutorial updateClicking that arrow will allow you to update the package. Packages for which newer versions are available are shown with a blue arrow next to the version number on the right. #Anaconda navigator tutorial installSelecting an uninstalled package by clicking the box on the very left of the entry will allow you to install that package. At the top, you can (among other optios) select whether it should list the current, not installed, or all available packages. The graphical package manager on the right is also relatively intuitive to use. The buttons below the environment list can be used to easily create, clone or delete environments. In the image below, the currently active environment is the root environment installed by Anaconda.įigure 2.43 Anaconda Navigator Environment and Package ManagementĬlicking on a environment in the list will activate that environment and update the package manager view on the right accordingly. You can switch to a different environment using the dropdown menu box at the top. The Home screen simply shows you a number of applications that are either installed and can be launched in your currently active Python environment or that you may want to install. We are only interested in the Home and Environments entries at the moment. Here is a quick overview of the Navigator interface: As shown in the image below, the Navigator has a vertical main menu on the left side of the window. Just type the first letters into the Windows search and you should be able to find the program and run it (if not, it is located in the Scripts subfolder of the Anaconda3 directory). The easiest way to interact with Anaconda is via the Anaconda Navigator program that provides a graphical user interface for managing the installation, starting programs, etc. If you create further environments or clone existing environments, these will be located in the envs subfolder of the Anaconda3 directory. This is the root environment (also called base environment) installed by Anaconda. Setting up a user account for Anaconda Cloud will be described in the following optional section. You won't need this unless you want try uploading the conda package from the previous optional section to the cloud yourself.Īfter the installation, Anaconda will be located in a folder called Anaconda3 of your user's home directory, so C:\Users\\Anaconda3. You should therefore perform the steps in this section to install Anaconda on your computer. #Anaconda navigator tutorial proWe will use Anaconda in Lesson 3 to work in a fresh Python environment outside of the ArcGIS Pro installation. If we were to upload the package created in the previous optional section with the command conda presented to us, it would be uploaded to the Anaconda Cloud. If you investigate further you will learn that the conda portion of Anaconda contains a repository of packages maintained by Anaconda (Anaconda Repository), but also the Anaconda Cloud, which users and organizations can contribute to. Figure 40 obtained from the Anaconda website shows the Anaconda components. It is build on top of conda but provides a graphical interface for managing Python environments and packages. Anaconda makes it easy to create a Python setup conducive to data analytics that also facilitates package management (updates, installs), packaging projects, managing environments and sharing packages. ![]() Anaconda is a Python distribution that includes the most popular data science package and conda in its distribution. ![]()
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