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1. • Interactive shell

     • IPython is an interactive shell for the Python programming language that offers enhanced introspection, additional shell syntax, tab completion and rich history. source
     www.pythonforbeginners.com/basics/ipython-a-short-introduction

     IPython a short introduction - PythonForBeginners.com

2. stackoverflow.com › questions › 12370457What is the difference between Python and IPython? - Stack ...

   stackoverflow.com › questions › 12370457

   ipython is an interactive shell built with python. From the project website: IPython provides a rich toolkit to help you make the most out of using Python, with: Powerful Python shells (terminal and Qt-based). A web-based notebook with the same core features but support for code, text, mathematical expressions, inline plots and other rich media.

3. realpython.com › ipython-interactive-python-shellUnlock IPython's Magical Toolbox for Your Coding Journey

   realpython.com › ipython-interactive-python-shell

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   Using the IPython shell is a fast way of learning Python and executing code without the need for a full-fledged integrated development environment (IDE), such as PyCharm. IPython adds great features to the Python experience with its magic commands, which the standard Python shell lacks.

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5. en.wikipedia.org › wiki › IPythonIPython - Wikipedia

   en.wikipedia.org › wiki › IPython

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   IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history. IPython provides the following features: Interactive shells (terminal and Qt-based).

6. www.pythonforbeginners.com › basics › ipython-aIPython a short introduction - PythonForBeginners.com

   www.pythonforbeginners.com › basics › ipython-a

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   Dec 2, 2020 · IPython is an interactive shell for the Python programming language that offers enhanced introspection, additional shell syntax, tab completion and rich history. source. Why IPython? The default interactive Python shell can sometimes feel to basic.

7. ipython.orgJupyter and the future of IPython — IPython

   ipython.org

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   Jul 26, 2019 · IPython provides a rich architecture for interactive computing with: A powerful interactive shell. A kernel for Jupyter. 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.

8. ipython.org › ipython-doc › stableIntroduction — IPython 3.2.1 documentation

   ipython.org › ipython-doc › stable

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   You can call IPython as a python shell inside your own python programs. This can be used both for debugging code or for providing interactive abilities to your programs with knowledge about the local namespaces (very useful in debugging and data analysis situations).

9. People also ask

   What is IPython in Python?

   • IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history. IPython provides the following features: Interactive shells (terminal and Qt -based).

   IPython - Wikipedia

   en.wikipedia.org/wiki/IPython

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   What is IPython interactive shell?

   • An enhanced interactive Python shell. An architecture for interactive parallel computing. All of IPython is open source (released under the revised BSD license). IPython’s interactive shell (ipython), has the following goals, amongst others: Provide an interactive shell superior to Python’s default.

   Introduction — IPython 3.2.1 documentation

   ipython.org/ipython-doc/stable/overview.html

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   What operating systems does IPython work on?

   • IPython is known to work on the following operating systems Linux Most other Unix-like OSs (AIX, Solaris, BSD, etc.) Mac OS X Windows (CygWin, XP, Vista, etc.) What is IPython? IPython is an interactive shell for the Python programming language that offers enhanced introspection, additional shell syntax, tab completion and rich history. source

   IPython a short introduction - PythonForBeginners.com

   www.pythonforbeginners.com/basics/ipython-a-short-introduction

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   How does IPython work?

   • IPython understands Python’s indentation-based block structure, so its user-friendly interactive shell does it for you. One unique feature of IPython is that you can embed it in existing Python scripts, which can offer valuable capabilities in your coding environment.

   Unlock IPython's Magical Toolbox for Your Coding Journey – Real Python

   realpython.com/ipython-interactive-python-shell/

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   Does IPython support interactive Python?

   • Luckily, IPython offers an enhanced version of interactive Python that can supercharge your capabilities. Using the IPython shell is a fast way of learning Python and executing code without the need for a full-fledged integrated development environment (IDE), such as PyCharm.

   Unlock IPython's Magical Toolbox for Your Coding Journey – Real Python

   realpython.com/ipython-interactive-python-shell/

   See all results for this question

   What tools does IPython support?

   • IPython provides a rich toolkit to help you make the most out of using Python, with: Powerful Python shells (terminal and Qt-based). A web-based notebook with the same core features but support for code, text, mathematical expressions, inline plots and other rich media. Support for interactive data visualization and use of GUI toolkits.

   What is the difference between Python and IPython?

   stackoverflow.com/questions/12370457/what-is-the-difference-between-python-and-ipython

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10. ipython.readthedocs.io › en › stableOverview — IPython 8.29.0 documentation - Read the Docs

    ipython.readthedocs.io › en › stable

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    You can call IPython as a python shell inside your own python programs. This can be used both for debugging code or for providing interactive abilities to your programs with knowledge about the local namespaces (very useful in debugging and data analysis situations).