Chapter 1

1. The main purpose of Python virtual environments is to create an isolated environment for Python projects. This means that each project can have its own dependencies, regardless of what dependencies every other project has. In other words, it is an isolated working copy of Python that allows you to work on a specific project without worry of affecting other projects.
2. The connection between pip, virtualenv, pipenv, Anaconda, and conda is as follows:

• pip: The Python Package Manager:
  • The PyPA recommended tool for installing Python packages
  • You can find and publish Python packages using PyPI: The Python Package
    Index (https://pypi.python.org/pypi)
• pyenv: Python Version Manager:
  • pyenv lets you easily switch between multiple versions of Python
  • If you need to use different versions of Python, pyenv lets you manage this easily
• virtualenv: Python Environment Manager:...