bashrc file for the additional conda commands: The terminal must be closed and opened so it looks to the. In order to initialize Anaconda type in: yes You will see no conda commands by default: To view this file, select the folder options and then Show Hidden Files: bashrc file found in your Home Directory. In the next screen you will be asked whether you want to initialize Anaconda: Press ↵ to proceed with the installation in the default location: Initializing Anaconda You will be then asked where you want to install Anaconda and a default location will be selected. Hold down the ↵ to scroll through this license agreement:Īn infinite loop will display until you accept the license agreement: This will display a license agreement within the terminal. You should have a command like the following: bash Anaconda3-2022.05-Linux-x86_64.sh Then right click the Terminal and paste in the file name: Right click the Anaconda script file and select rename, copy the file name including the extension: Right click the downloads folder and select open in Terminal: As the (base) conda environment is empty in Miniconda, you will need to create your own conda environments to install the Spyder 5 and JupyterLab 3 IDEs respectively. The Anaconda Individual Edition is designed for only Individual use and has Commercial restrictions, while Miniconda is exempt from these Commercial restrictions. It is essentially the same installation as Anaconda but gives a more or less empty conda base environment. Miniconda is a stripped more lightweight version of Anaconda. This guide is also equally applicable to Miniconda. I also discuss the difference between the official conda channel and the community conda-forge channel and go through instructions for installing the latest community version of Spyder and JupyterLab using conda environments. I look at using the Anaconda Navigator, Spyder IDE, JupyterLab IDE and Visual Code IDE. I then look at use of the conda package manager syntax as well as a reference to physical file locations. I go through the installation in some detail, highlighting the installation and initialization procedure. Instructions should be equally applicable to other modern Linux distributions. In this guide I have a look at installing the Anaconda Python Distribution which contains Python and the most commonly used Data Science Libraries on Ubuntu 22.04 LTS.
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