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Interactive Computing
IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
Ease of Use
IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
Rich Display System
It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
Extensibility
IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
Enhanced Debugging
It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the…
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4 months ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser’s developer console this way if you are learning Javascript.
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over 1 year ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform.
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over 1 year ago
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.
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over 1 year 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.
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over 1 year 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.
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over 1 year ago
It can be used for several user interfaces such as IPython, Python shells, Jupyter Notebook, and more.
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almost 2 years 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.
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almost 2 years ago
To use numpy, you need to first install numpy library by running this command on your Ipython input cell:
!pip install numpy
Or on your terminal using the command below:
Py -m pip install numpy – windows OS.
Python3 -m pip install numpy – Mac/Linux OS.
If you are having issues with setting up your ipython environment, click here.
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over 2 years ago
(That code snippet with timings is from ipython, it’s basically a python repl in a terminal).
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over 2 years ago
When I start django shell by typing python manage.py shell the ipython shell is started. Is it possible to make Django start ipython in qtconsole mode? (i.e. Make it run ipython qtconsole).
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over 2 years ago
iPython – a powerful command shell for easier editing and recording of work sessions that supports interactive data visualization and parallel computing;.
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over 2 years ago
Born out of IPython in 2014, Project Jupyter has seen enthusiastic adoption among the data science community to become the de facto standard tool for prototyping. Its impact was officially acknowledged in 2017 when chosen to receive the ACM Software Systems Award, an honor shared with Unix, the Web, Java, and such.
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over 2 years ago
Did you consider checking its website? https://ipython.org/.
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over 2 years ago
In your program, in a trouble spot you want to debug, enter the interactive IPython shell like this:.
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almost 3 years ago
It’s kinda a nice thing. And the few people that need something like this are already using https://xon.sh/ or https://plumbum.readthedocs.io/ or https://ipython.org/ . You can have a look at these projects though. See what works and doesn’t to guide the goals of your own project.
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almost 3 years ago
Familiarity with iPython or interactive shells.
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about 3 years ago
When faced with performance issues and/or questions, it is highly recommended to use timeit module. Being a Jupyter fan, I often use %timeit and %%timeit magic functions, providing a shortcut to the functionality (although available in iPython interactive shell, for which Jupyter is a convenient web wrapper).
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about 3 years ago
iPython is basically a Jupyter notebook without the browser UI, as it’s what Jupyter uses by default for Python. You can add rich into the mix for nicer output and you have a great REPL experience.
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over 3 years ago
