Option B.įull uninstall using Anaconda-Clean and simple remove. MacOS–Open the Terminal.app or iTerm2 terminal application, and then remove your entire Anaconda directory, which has a name such as anaconda2 or anaconda3, by entering rm -rf ~/anaconda3. If you also want to remove all traces of the configuration files and directories from Anaconda and its programs, you can download and use the Anaconda-Clean program first, then do a simple remove. This will leave a few files behind, which for most users is just fine. To uninstall Anaconda, you can do a simple remove of the program. "/home/me/anaconda3/etc/profile.d/conda.sh"Įxport PATH="/home/me/anaconda3/bin:$PATH" _conda_setup="$('/home/me/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)" # !! Contents within this block are managed by 'conda init' !! Remove everything that looks like it has been added by/for anaconda: # > conda initialize > Remove the files rm -rf rm -rf ~/.anaconda_backupĭelete lines added by conda from environment file(s) Run the cleaner (base) anaconda-clean -yesĭeactivate the 'base' virtual environment (base) conda deactivate Install the cleaner conda install anaconda-cleanĪctivate the 'base' virtual environment source ~/anaconda3/bin/activate Windows Users: right-click the page-> Click Save as. txt & keep the format as Page Source ->Save Mac Users: right-click the page-> Click Save Page As -> remove the extension. Click the Raw button to get directed to the raw file page.Navigate to psychopy/conda/psychopy-env.yml.Go to the Github page of Psychopy (a behavioral science Package).You could simply ask your colleagues to export their environment to a YAML file and share it with you. In order to run their code with no errors, the best solution is to set up an environment exactly the same as theirs. Unlike your own Python settings (3.8), they use Python 2.x and the project requires very complicated package dependencies. Think of a scenario where you start a new collaboration with your colleagues on a Python project. Unlike the cloning that creates a copy from an existing environment on your computer, importing an environment enables you to create a new environment from an environment configuration file (.yml file) Conda: the package & environment manager in Anaconda ecosystem.In addition, conda can also manage Python environments. In Anaconda, conda is the package manager. What is more terrifying is the installation order matters. Without a package manager, you find yourself in a situation where you have to install all the prerequisites in order to get one package running. Packages always have complicated dependencies, meaning oftentimes they are built upon other sets of packages. Python Package Manager (Package&Environment management system): a tool designed to automate the process of installing, upgrading, removing and building packages.Packages: They are nothing but directories containing code files, either in binary or source code formats, which exposes functions and variables.exe file is an executable (software distribution) on Windows OS. Software distribution: a pre-built and pre-configured binary code that can be installed and run on a specific system.
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