In order to create a Conda environment right from scratch, you might need to first choose a Python version. Scenario 3: You need to set-up an environment from scratch or just from a requirement.txt Step 5: Activate your environment using conda activate. Step 4: Verify that the Conda environment was created successfully by executing conda info -envs or conda info -e. This requirements.txt contain a list of the python libraries along with their versions written in plain text format. To install them, go to that directory in the Terminal and run pip install requirements.txt. Step 3: If you also have a requirements.txt file, you might want to ensure that those packages are installed. To verify that it was created successfully, execute conda info -envs or conda info -e. This creates a brand new environment with the same name as before. Step 2: Create the environment by running conda env create -f environment.yml. Step 1: On Windows open up a Anaconda Prompt, on Linux and MacOS open up a Terminal and go to that directory which has the environment.yml file. Scenario 2: You already have a project with its environment.yml and/or a requirements.txt Copy it and get that file to your destination machine where you want to set-up the new environment. Now you will have one environment.yml file with all the nitty-gritty versioned packages of the environment. Step 3: Then export your active environment to a new file using conda env export > environment.yml Replace with name of environment you want to replicate. Step 2: Activate the environment using conda activate. Step 1: On Windows open up a Anaconda Prompt, on Linux and MacOS open up a Terminal. If you are currently working on some project in a different machine and want to create the same Conda environment in another machine, make one YAML file of that environment, which will contain all the packages along with the versions. Scenario 1: You want to replicate a Conda environment from a different machine
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