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IPython

A command shell for interactive computing in multiple programming languages
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What is IPython?

It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.
IPython is a tool in the Shells category of a tech stack.

Who uses IPython?

Companies
3 companies reportedly use IPython in their tech stacks, including trivago, Reef, and Model.

Developers
57 developers on StackShare have stated that they use IPython.
Private Decisions at about IPython

Here are some stack decisions, common use cases and reviews by members of with IPython in their tech stack.

Guillaume Simler
Guillaume Simler
at Velchanos.io | 4 upvotes 200.5K views

Jupyter Anaconda Pandas IPython

A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.

The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead

See more
Public Decisions about IPython

Here are some stack decisions, common use cases and reviews by companies and developers who chose IPython in their tech stack.

Guillaume Simler
Guillaume Simler
at Velchanos.io | 4 upvotes 200.5K views

Jupyter Anaconda Pandas IPython

A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.

The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead

See more

IPython's Features

  • Interactive
  • Magic
  • embeddable interpreters
  • parallel computing

IPython Alternatives & Comparisons

What are some alternatives to IPython?
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
PyCharm
PyCharm鈥檚 smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
Spyder
It is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
See all alternatives

IPython's Followers
59 developers follow IPython to keep up with related blogs and decisions.
Frank Genova
edisplay
Robert Hasslen
Mohanad Abu Nayla
Bruno Andrade Santos
wetconerkrew .
Carlos Irigoyen
Ulises Olivares
teja t
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