Based on our record, iPython seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. - Source: Reddit / 16 days ago
I know this isn't quite what you're asking for, but IPython (https://ipython.org/) is very capable as a Python + bash (or other) shell, as it allows you to easily integrate the system shell into the interactive environment. Although they now recommend Xonsh (https://xon.sh/) for such purposes. - Source: Reddit / about 2 months ago
Either an online python interpreter like replit.com or simply any python interpreter, like `ipython`, or the default, barebones one that ships with the python installation pacakge. - Source: Reddit / 3 months ago
It can be used for several user interfaces such as IPython, Python shells, Jupyter Notebook, and more. - Source: dev.to / 4 months ago
Also, check out ipython, which is what Jupyter Notebooks depend on under-the-hood, which you can think of as an enhanced Python interactive shell. - Source: Reddit / 6 months ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Observable Notebooks - The portfolio and technical blog of Chris Henrick – provider of professional web development, data visualization, GIS, mapping, & cartography services.
IDLE - Default IDE which come installed with the Python programming language.
Calculist - The open-source, web-based thinking tool that facilitates effective thinking for solving problems.
Spyder - The Scientific Python Development Environment