Python REPL and Environment Manager
Explore how to efficiently use Python's REPL through IPython and manage multiple project dependencies safely by creating Python virtual environments with Pipenv. Understand version conflicts and learn installation and execution commands for effective Python environment management.
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Python REPL
An interpreter is also commonly called a REPL, which refers to the Read-Eval-Print Loop. The simplest approach is to just run Python at the command line. This interpreter is not the most user-friendly.
A popular option is to use Jupyter, an in-browser notebook editor, but it’s advised not to use it for application development.
Using IPython, which is the Python back-end used by Jupyter, is a better option. It has full readline capability, meaning we can use up and down arrows to step through previous commands, or we can search for commands. It keeps a history, which is very useful after ...