Hands-On Data Analysis with Pandas

Linux/macOS

To create our environment for this book, we will use the venv module from the standard library. Note that we must provide a name for our environment:

$ python -m venv book_env

Now, we have a folder for our virtual environment named book_env inside of the repository folder we cloned/downloaded earlier. In order to use the environment, we need to activate it:

$ source book_env/bin/activate

Note that, after we activate the virtual environment, we can see (book_env) in front of our prompt on the command line; this lets us know we are in the environment:

(book_env) $

When we are finished using the environment, we simply deactivate it:

(book_env) $ deactivate

Any packages that are installed in the environment don't exist outside the ...