| Original author(s) | Fernando Perez[1] |
|---|---|
| Developer(s) | Others |
| Initial release | 2001; 18 years ago[1] |
| Stable release | 7.8.0 / 30 August 2019; 29 days ago[2] |
| Repository | |
| Written in | Python, JavaScript, CSS, HTML |
| Operating system | Cross-platform |
| Type | Shell |
| License | BSD |
| Website | ipython.org |
I recently installed IPython after hearing about it on this forum. I am looking for an environment that is similar to what might come with MATLAB or RStudio for R. I was under the impression that IPython would give me that but the version I downloaded for Windows looks very bare.
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).
- A browser-based notebook interface with support for code, text, mathematical expressions, inline plots and other media.
- Support for interactive data visualization and use of GUI toolkits.
- Flexible, embeddable interpreters to load into one's own projects.
- Tools for parallel computing.
Parallel computing[edit]
IPython is based on an architecture that provides parallel and distributed computing. IPython enables parallel applications to be developed, executed, debugged and monitored interactively, hence the I (Interactive) in IPython.[3] This architecture abstracts out parallelism, enabling IPython to support many different styles of parallelism[4] including:
- Single program, multiple data (SPMD) parallelism
- Multiple program, multiple data (MIMD) parallelism
- Message passing using MPI
- Combinations of these approaches
- Custom user defined approaches
With the release of IPython 4.0, the parallel computing capabilities were made optional and released under the ipyparallel python package.
- IPython provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter, high performance tools for parallel computing, and more.
- Sep 21, 2015 This might help you. Setting up IPython Notebook on Windows or If you already have Python, get IPython with pip: pip install ipython if you want to also get the dependencies for the IPython notebook: pip install 'ipythonnotebook' Mor.
IPython frequently draws from SciPy stack[5] libraries like NumPy and SciPy, often installed alongside one of many Scientific Python distributions.[5] IPython provides integration with some libraries of the SciPy stack, notably matplotlib, producing inline graphs when in used with the Jupyter notebook. Python libraries can implement IPython specific hooks to customize rich object display. SymPy for example implements rendering of mathematical expressions as rendered LaTeX when used within IPython context.[6]
Other features[edit]
Download Ipython For Windows
IPython allows non-blocking interaction with Tkinter, PyGTK, PyQt/PySide and wxPython (the standard Python shell only allows interaction with Tkinter). IPython can interactively manage parallel computing clusters using asynchronous status callbacks and/or MPI. IPython can also be used as a system shell replacement.[7] Its default behavior is largely similar to Unix shells, but it allows customization and the flexibility of executing code in a live Python environment. Using IPython as a shell replacement is less common and it is now recommended to use Xonsh which provide most of the IPython feature with better shell integrations.
End of Python 2 support[edit]
IPython 5.x (Long Time Support) series will be the last version of IPython to support Python 2. The IPython project pledged to not support Python 2 beyond 2020[8] by being one of the first projects to join the Python 3 Statement, the 6.x series is only compatible with Python 3 and above. It is still possible though to run a IPython kernel and a Jupyter Notebook server on different Python versions allowing user to still access Python 2 on newer version of Jupyter.
Project Jupyter[edit]
In 2014, Fernando Pérez announced a spin-off project from IPython called Project Jupyter.[9] IPython continued to exist as a Python shell and kernel for Jupyter, but the notebook interface and other language-agnostic parts of IPython were moved under the Jupyter name.[10][11] Jupyter is language agnostic and its name is a reference to core programming languages supported by Jupyter, which are Julia, Python, and R.[12]
Jupyter Notebook (formerly IPython Notebooks) is a web-based interactive computational environment for creating, executing, and visualizing Jupyter notebooks. It is similar to the notebook interface of other programs such as Maple, Mathematica, and SageMath, a computational interface style that originated with Mathematica in the 1980s.[13] It supports execution environments (aka kernels) in dozens of languages. By default Jupyter Notebook ships with the IPython kernel but there are over 100 Jupyter kernels as of May 2018.
In the media[edit]
IPython has been mentioned in the popular computing press and other popular media,[14][13] and it has a presence at scientific conferences.[15] For scientific and engineering work, it is often presented as a companion tool to matplotlib.[16]
Grants and awards[edit]
Beginning 1 January 2013, the Alfred P. Sloan Foundation announced that it would support IPython development for two years.[17]
On 23 March 2013, Fernando Perez was awarded the Free Software Foundation Advancement of Free Software award for IPython.
In August 2013, Microsoft made a donation of $100,000 to sponsor IPython’s continued development.[18]
In January 2014, it won the Jolt Productivity Award[19] from Dr. Dobb's in the category of coding tools. In July 2015, the project won a funding of $6 million from Gordon and Betty Moore Foundation, Alfred P. Sloan Foundation and Leona M. and Harry B. Helmsley Charitable Trust.[20]
In May 2018, it was awarded the 2017 ACM Software System Award.[21] It is the largest team to have won the award.[22]
See also[edit]
References[edit]
- ^ ab'The IPython notebook: a historical retrospective'. Fernando Perez Blog. 8 January 2012.
- ^'Releases - ipython/ipython'. Retrieved 31 August 2019 – via GitHub.
- ^Helen, Shen (2014). 'Interactive notebooks: Sharing the code'. Nature. 515 (7525): 151–152. doi:10.1038/515151a. PMID25373681.
- ^'Using IPython for Parallel computing - IPython docs'.
- ^ ab'SciPy Stack'.
- ^'Printing — SymPy 1.1 documentation'. docs.sympy.org. Retrieved 11 April 2018.
- ^McKinney, Wes (2012). 'Chapter 3'. Python for Data Analysis. ISBN978-1-449-31979-3.
- ^'Release of IPython 5.0 – Jupyter Blog'. Jupyter Blog. 8 July 2016. Retrieved 11 April 2018.
- ^'Project Jupyter // Speaker Deck'.
- ^'The Notebook, Qt console and a number of other pieces are now parts of Jupyter'.
- ^'The Big Split™'.
- ^https://github.com/jupyter/design/wiki/Jupyter-Logo
- ^ abSomers, James. 'The Scientific Paper Is Obsolete'. The Atlantic. Retrieved 10 April 2018.
- ^Koziol, Conrad (12 September 2005). 'Introducing IPython'. NewsForge.
- ^'IPython Presentations'.
- ^Pérez, Fernando; Granger, Brian E. (2007). 'IPython: A System for Interactive Scientific Computing'(PDF). Computing in Science & Engineering. 9 (3): 21–29. doi:10.1109/MCSE.2007.53. Archived from the original(PDF) on 2 June 2010. Retrieved 30 July 2015.
- ^'Announcement in scipy mailing list'.
- ^'IPython Announcement'.
- ^'Jolt Productivity Award write-up in Dr. Dobb's'.
- ^'$6M for UC Berkeley and Cal Poly to expand and enhance open-source software for scientific computing and data science'. Retrieved 13 August 2015.
- ^'Recent Software System Award News'.
- ^'Jupyter receives the ACM Software System Award'.
External links[edit]
- Official website
I changed the environment variable PATH, to a new value and then back to what I believe was the original one. But now I can't open a .ipynb file through the Windows command line the was I was used to.
After changing the directory in command line and running
ipython notebook notebook_name.ipynb
I get the following message:
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'ipython' is not recognized as an internal or external command.
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My environment variable is set to a folder with python.exe, and this folder includes a subfolder with ipython.exe and jupyter-notebook.exe. When I open iPython command line and type %env, I can see the full path to the correct subfolder under PATH.
Can someone point to a solution?
Thanks.
2 Answers
Looks like you figured out that you have to set the extension association in System Settings.
I've found that I'm using Notebooks often enough that it was well worth using AutoHotKey with the following script to open the Jupyter Notebook server in my default directory (or the currently highlighted directory in Explorer)
So I figured out a solution - I changed the environment variable PATH to the subfolder with the .exe files. Although the path including this subfolder was listed under %env, it did not work without being referred directly in the System setting.