This course uses Conda, bundled with Anaconda. There are many different virtual environments to choose from. Virtual environments also allow you to run different versions of the same package with different projects, something not possible if you are using a global Python installation. A virtual environment contains, among other things, a Python interpreter, a pip executable, and a site-packages directory, which is the standard location for most packages downloaded with pip.īy activating a virtual environment within your shell, you expose it to only the pip and Python executables installed within your virtual environments, ensuring that the right versions of both applications are invoked and that packages are always installed to the correct location. Instead, virtual environments are often used to isolate Python installations from one another. You can modify your shell’s PATH so it uses the correct pip executable, or change the PYTHONPATH so that your desired version of Python can find the packages located in a different directory. There are also other ways to get around this issue. Here, python is the path to the desired Python interpreter, so something like /usr/local/bin/python3.7 -m pip will use the pip executable for /usr/local/bin/python3.7. To use the version of pip specific to your desired Python version, you can use python -m pip. If the wrong pip is invoked, then the packages it installs will likely not be visible to the Python interpreter you’re using, causing the ImportError. The problem is that it’s very common to have multiple Python interpreters installed (and by extension, multiple pip executables.) Depending on your shell’s PATH, running pip may invoke the pip executable linked to the version of Python you’re using, or to a different one.
By default, that pip executable will install packages in a location where that specific Python installation can find them. In general, each Python installation comes bundled with its own pip executable, used for installing packages. This happens when you use the wrong installation of pip to install packages.
This is caused by the fact that the version of Python you’re running your script with is not configured to search for modules where you’ve installed them.
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