JUPYTER AND THE FUTURE OF IPYTHON Announcements¶. IPython tends to be released on the last Friday of each month, this section updated rarely. Please have a look at the release history on PyPI.. IPython 7.12.0: Released on Jan 31st 2020.; IPython 7.11.0 and 7.11.1: Released on Dec 27, 2019 and Jan 1st 2020; IPython 7.10.0 and 7.10.1: Released on Nov 27, 2019 and Dec 1st 2019; IPython 7.9.0: Released on Oct 25, 2019

INSTALLING IPYTHON

I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data

science.

INTRODUCING IPYTHON

Debugging¶. After an exception occurs, you can call %debug to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call %pdb, IPython will automatically start the debugger on any uncaught exception.You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem. THE JUPYTER NOTEBOOK The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website. INTRODUCTION TO IPYTHON CONFIGURATION The config magic ¶. You can also modify config from inside IPython, using a magic command: %config IPCompleter.greedy = True. At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read AUTORELOAD — IPYTHON 3.2.1 DOCUMENTATION Usage ¶. The following magic commands are provided: %autoreload. Reload all modules (except those excluded by %aimport ) automatically now. %autoreload 0. Disable automatic reloading. %autoreload 1. Reload all modules imported with %aimport every time before executing the

MODULE: LIB.PRETTY

Module: lib.pretty ¶ Python advanced pretty printer. This pretty printer is intended to replace the old pprint python module which does not allow developers to provide their own pretty print callbacks.. This module is based on ruby’s prettyprint.rb library by Tanaka

Akira.

BUILT-IN MAGIC COMMANDS Line magics¶ %alias¶. Define an alias for a system command. ‘%alias alias_name cmd’ defines ‘alias_name’ as an alias for ‘cmd’ Then, typing ‘alias_name params’ will execute the system command ‘cmd params’ (from your underlying operating system). MODULE: CORE.DEBUGGER Modified from the standard pdb.Pdb class to avoid including readline, so that the command line completion of other programs which include this isn’t damaged. In the future, this class will be expanded with improvements over the standard pdb. The code in this file is mainly lifted out of cmd.py in MODULE: CONFIG.CONFIGURABLE If this is empty, default values are used. If config is a Config instance, it will be used to configure the instance. parent: Configurable instance, optional The parent Configurable instance of

this object

JUPYTER AND THE FUTURE OF IPYTHON Announcements¶. IPython tends to be released on the last Friday of each month, this section updated rarely. Please have a look at the release history on PyPI.. IPython 7.12.0: Released on Jan 31st 2020.; IPython 7.11.0 and 7.11.1: Released on Dec 27, 2019 and Jan 1st 2020; IPython 7.10.0 and 7.10.1: Released on Nov 27, 2019 and Dec 1st 2019; IPython 7.9.0: Released on Oct 25, 2019

INSTALLING IPYTHON

I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data

science.

INTRODUCING IPYTHON

Debugging¶. After an exception occurs, you can call %debug to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call %pdb, IPython will automatically start the debugger on any uncaught exception.You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem. THE JUPYTER NOTEBOOK The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website. INTRODUCTION TO IPYTHON CONFIGURATION The config magic ¶. You can also modify config from inside IPython, using a magic command: %config IPCompleter.greedy = True. At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read AUTORELOAD — IPYTHON 3.2.1 DOCUMENTATION Usage ¶. The following magic commands are provided: %autoreload. Reload all modules (except those excluded by %aimport ) automatically now. %autoreload 0. Disable automatic reloading. %autoreload 1. Reload all modules imported with %aimport every time before executing the

MODULE: LIB.PRETTY

Module: lib.pretty ¶ Python advanced pretty printer. This pretty printer is intended to replace the old pprint python module which does not allow developers to provide their own pretty print callbacks.. This module is based on ruby’s prettyprint.rb library by Tanaka

Akira.

BUILT-IN MAGIC COMMANDS Line magics¶ %alias¶. Define an alias for a system command. ‘%alias alias_name cmd’ defines ‘alias_name’ as an alias for ‘cmd’ Then, typing ‘alias_name params’ will execute the system command ‘cmd params’ (from your underlying operating system). MODULE: CORE.DEBUGGER Modified from the standard pdb.Pdb class to avoid including readline, so that the command line completion of other programs which include this isn’t damaged. In the future, this class will be expanded with improvements over the standard pdb. The code in this file is mainly lifted out of cmd.py in MODULE: CONFIG.CONFIGURABLE If this is empty, default values are used. If config is a Config instance, it will be used to configure the instance. parent: Configurable instance, optional The parent Configurable instance of

this object

DOCUMENTATION

Many pieces which were previously part of IPython were split out in version 4, and now have their own documentation. Jupyter includes: The Jupyter notebook and notebook file format. The Jupyter Qt console. The kernel messaging protocol. Many other components. ipyparallel (formerly IPython.parallel)

INTRODUCING IPYTHON

Debugging¶. After an exception occurs, you can call %debug to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call %pdb, IPython will automatically start the debugger on any uncaught exception.You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem.

INTRODUCTION

Enhanced interactive Python shell¶. IPython’s interactive shell (ipython), has the following goals, amongst others:Provide an interactive shell superior to Python’s default. IPython has many features for tab-completion, object introspection, system shell access, command history retrieval across sessions, and its own special command system for adding functionality when working interactively.

IPYTHON REFERENCE

Command-line Options¶. To see the options IPython accepts, use ipython--help (and you probably should run the output through a pager such as ipython--help | less for more convenient reading). This shows all the options that have a single-word alias to control them, but IPython lets you configure all of its objects from the command-line by passing the full class name and a corresponding value USING IPYTHON FOR PARALLEL COMPUTING General considerations. Using ipcluster. Configuring an IPython cluster. IPython on EC2 with StarCluster. Using the ipcontroller and ipengine commands. IPython’s Direct interface. Starting the IPython controller and engines. Creating a DirectView instance. Quick and easy

parallelism.

MODULE: DISPLAY

18 Classes¶ class IPython.display.Audio (data=None, filename=None, url=None, embed=None, rate=None, autoplay=False) ¶. Bases: IPython.core.display.DisplayObject Create an audio object. When this object is returned by an input cell or passed to the display function, it will result in Audio controls being displayed in the frontend (only works in the notebook). A QT CONSOLE FOR IPYTHON We now have a version of IPython, using the new two-process ZeroMQ Kernel, running in a PyQt GUI. This is a very lightweight widget that largely feels like a terminal, but provides a number of enhancements only possible in a GUI, such as inline figures, proper multiline editing with syntax highlighting, graphical calltips, and much more. OVERVIEW OF THE IPYTHON CONFIGURATION SYSTEM There are a number of abstractions that the IPython configuration system uses. Each of these abstractions is represented by a Python class. Configuration object: Config A configuration object is a simple dictionary-like class that holds configuration attributes and sub-configuration objects. These

CORE.DISPLAY

DisplayObject ¶ class IPython.core.display.DisplayObject(data=None, url=None, filename=None)¶. Bases: object An object that wraps data to be displayed. __init__(data=None, url=None, filename=None)¶. Create a display object given raw data. When this object is returned by an expression or passed to the display function, it will result in the data being displayed in the frontend. SECURITY DETAILS OF IPYTHON IPython’s IPython.kernel.zmq package exposes the full power of the Python interpreter over a TCP/IP network for the purposes of parallel computing. This feature brings up the important question of IPython’s security model. This document gives details about this model and how it is implemented in IPython’s architecture. JUPYTER AND THE FUTURE OF IPYTHON Announcements¶. IPython tends to be released on the last Friday of each month, this section updated rarely. Please have a look at the release history on PyPI.. IPython 7.12.0: Released on Jan 31st 2020.; IPython 7.11.0 and 7.11.1: Released on Dec 27, 2019 and Jan 1st 2020; IPython 7.10.0 and 7.10.1: Released on Nov 27, 2019 and Dec 1st 2019; IPython 7.9.0: Released on Oct 25, 2019

INSTALLING IPYTHON

I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data

science.

INTRODUCING IPYTHON

Debugging¶. After an exception occurs, you can call %debug to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call %pdb, IPython will automatically start the debugger on any uncaught exception.You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem. THE JUPYTER NOTEBOOK The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website. INTRODUCTION TO IPYTHON CONFIGURATION The config magic ¶. You can also modify config from inside IPython, using a magic command: %config IPCompleter.greedy = True. At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read THE IPYTHON NOTEBOOK The notebook consists of a sequence of cells. A cell is a multi-line text input field, and its contents can be executed by using Shift-Enter, or by clicking either the “Play” button the toolbar, or Cell | Run in the menu bar. The execution behavior of a cell is determined the cell’s type. AUTORELOAD — IPYTHON 3.2.1 DOCUMENTATION Usage ¶. The following magic commands are provided: %autoreload. Reload all modules (except those excluded by %aimport ) automatically now. %autoreload 0. Disable automatic reloading. %autoreload 1. Reload all modules imported with %aimport every time before executing the MODULE: CORE.DEBUGGER Modified from the standard pdb.Pdb class to avoid including readline, so that the command line completion of other programs which include this isn’t damaged. In the future, this class will be expanded with improvements over the standard pdb. The code in this file is mainly lifted out of cmd.py in BUILT-IN MAGIC COMMANDS Line magics¶ %alias¶. Define an alias for a system command. ‘%alias alias_name cmd’ defines ‘alias_name’ as an alias for ‘cmd’ Then, typing ‘alias_name params’ will execute the system command ‘cmd params’ (from your underlying operating system). MODULE: CONFIG.CONFIGURABLE If this is empty, default values are used. If config is a Config instance, it will be used to configure the instance. parent: Configurable instance, optional The parent Configurable instance of

this object

JUPYTER AND THE FUTURE OF IPYTHON Announcements¶. IPython tends to be released on the last Friday of each month, this section updated rarely. Please have a look at the release history on PyPI.. IPython 7.12.0: Released on Jan 31st 2020.; IPython 7.11.0 and 7.11.1: Released on Dec 27, 2019 and Jan 1st 2020; IPython 7.10.0 and 7.10.1: Released on Nov 27, 2019 and Dec 1st 2019; IPython 7.9.0: Released on Oct 25, 2019

INSTALLING IPYTHON

I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data

science.

INTRODUCING IPYTHON

Debugging¶. After an exception occurs, you can call %debug to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call %pdb, IPython will automatically start the debugger on any uncaught exception.You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem. THE JUPYTER NOTEBOOK The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website. INTRODUCTION TO IPYTHON CONFIGURATION The config magic ¶. You can also modify config from inside IPython, using a magic command: %config IPCompleter.greedy = True. At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read THE IPYTHON NOTEBOOK The notebook consists of a sequence of cells. A cell is a multi-line text input field, and its contents can be executed by using Shift-Enter, or by clicking either the “Play” button the toolbar, or Cell | Run in the menu bar. The execution behavior of a cell is determined the cell’s type. AUTORELOAD — IPYTHON 3.2.1 DOCUMENTATION Usage ¶. The following magic commands are provided: %autoreload. Reload all modules (except those excluded by %aimport ) automatically now. %autoreload 0. Disable automatic reloading. %autoreload 1. Reload all modules imported with %aimport every time before executing the MODULE: CORE.DEBUGGER Modified from the standard pdb.Pdb class to avoid including readline, so that the command line completion of other programs which include this isn’t damaged. In the future, this class will be expanded with improvements over the standard pdb. The code in this file is mainly lifted out of cmd.py in BUILT-IN MAGIC COMMANDS Line magics¶ %alias¶. Define an alias for a system command. ‘%alias alias_name cmd’ defines ‘alias_name’ as an alias for ‘cmd’ Then, typing ‘alias_name params’ will execute the system command ‘cmd params’ (from your underlying operating system). MODULE: CONFIG.CONFIGURABLE If this is empty, default values are used. If config is a Config instance, it will be used to configure the instance. parent: Configurable instance, optional The parent Configurable instance of

this object

DOCUMENTATION

Many pieces which were previously part of IPython were split out in version 4, and now have their own documentation. Jupyter includes: The Jupyter notebook and notebook file format. The Jupyter Qt console. The kernel messaging protocol. Many other components. ipyparallel (formerly IPython.parallel)

BOOKS AND VIDEOS

Learning IPython for Interactive Computing and Data Visualization. by Cyrille Rossant. 175 pages. Packt Publishing. October 25 2015. This book is a beginner-level introduction to Python for data analysis, covering IPython, the Jupyter Notebook, pandas, NumPy, matplotlib, and many other libraries.

INTRODUCTION

Enhanced interactive Python shell¶. IPython’s interactive shell (ipython), has the following goals, amongst others:Provide an interactive shell superior to Python’s default. IPython has many features for tab-completion, object introspection, system shell access, command history retrieval across sessions, and its own special command system for adding functionality when working interactively. THE IPYTHON NOTEBOOK The IPython Notebook. Introduction. Starting the notebook server. Notebook user interface. Structure of a notebook document. Basic workflow. Plotting. Configuring the IPython Notebook. Installing new

kernels.

USING IPYTHON FOR PARALLEL COMPUTING General considerations. Using ipcluster. Configuring an IPython cluster. IPython on EC2 with StarCluster. Using the ipcontroller and ipengine commands. IPython’s Direct interface. Starting the IPython controller and engines. Creating a DirectView instance. Quick and easy

parallelism.

IPYTHON REFERENCE

IPython is meant to work as a drop-in replacement for the standard interactive interpreter. As such, any code which is valid python should execute normally under IPython (cases where this is not true should be reported as bugs). It does, however, offer many features

which are

CONVERTING NOTEBOOKS TO OTHER FORMATS Converting notebooks to other formats¶. Newly added in the 1.0 release of IPython is the nbconvert tool, which allows you to convert an .ipynb notebook document file into various static formats.. Currently, nbconvert is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned.

MODULE: DISPLAY

18 Classes¶ class IPython.display.Audio (data=None, filename=None, url=None, embed=None, rate=None, autoplay=False) ¶. Bases: IPython.core.display.DisplayObject Create an audio object. When this object is returned by an input cell or passed to the display function, it will result in Audio controls being displayed in the frontend (only works in the notebook).

MODULE: UTILS.PATH

IPython.utils.path.link (src, dst) ¶ Hard links src to dst, returning 0 or errno.. Note that the special errno ENOLINK will be returned if os.link isn’t supported by the operating system.. IPython.utils.path.link_or_copy (src, dst) ¶ Attempts to hardlink src to dst, copying if the link fails.. Attempts to maintain the semantics of shutil.copy.. Because os.link does not overwrite files, a IPYTHON AS A SYSTEM SHELL It is possible to adapt IPython for system shell usage. In the past, IPython shipped a special ‘sh’ profile for this purpose, but it had been quarantined since 0.11 release, and in 1.0 it was removed altogether. Nevertheless, much of this section relies on machinery which does not require a JUPYTER AND THE FUTURE OF IPYTHON Announcements¶. IPython tends to be released on the last Friday of each month, this section updated rarely. Please have a look at the release history on PyPI.. IPython 7.12.0: Released on Jan 31st 2020.; IPython 7.11.0 and 7.11.1: Released on Dec 27, 2019 and Jan 1st 2020; IPython 7.10.0 and 7.10.1: Released on Nov 27, 2019 and Dec 1st 2019; IPython 7.9.0: Released on Oct 25, 2019

INSTALLING IPYTHON

I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data

science.

DOCUMENTATION

Many pieces which were previously part of IPython were split out in version 4, and now have their own documentation. Jupyter includes: The Jupyter notebook and notebook file format. The Jupyter Qt console. The kernel messaging protocol. Many other components. ipyparallel (formerly IPython.parallel) IPYTHON DOCUMENTATION Introduction. What’s new in IPython. Installation. Using IPython for interactive work. The IPython notebook. Using IPython for parallel computing. Configuration and customization. IPython developer’s guide. The IPython API. INTRODUCTION TO IPYTHON CONFIGURATION The config magic ¶. You can also modify config from inside IPython, using a magic command: %config IPCompleter.greedy = True. At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read USING IPYTHON FOR PARALLEL COMPUTING General considerations. Using ipcluster. Configuring an IPython cluster. IPython on EC2 with StarCluster. Using the ipcontroller and ipengine commands. IPython’s Direct interface. Starting the IPython controller and engines. Creating a DirectView instance. Quick and easy

parallelism.

AUTORELOAD — IPYTHON 3.2.1 DOCUMENTATION Usage ¶. The following magic commands are provided: %autoreload. Reload all modules (except those excluded by %aimport ) automatically now. %autoreload 0. Disable automatic reloading. %autoreload 1. Reload all modules imported with %aimport every time before executing the MODULE: CORE.DEBUGGER Modified from the standard pdb.Pdb class to avoid including readline, so that the command line completion of other programs which include this isn’t damaged. In the future, this class will be expanded with improvements over the standard pdb. The code in this file is mainly lifted out of cmd.py in SECURITY DETAILS OF IPYTHON IPython’s IPython.kernel.zmq package exposes the full power of the Python interpreter over a TCP/IP network for the purposes of parallel computing. This feature brings up the important question of IPython’s security model. This document gives details about this model and how it is implemented in IPython’s architecture. MODULE: CONFIG.CONFIGURABLE If this is empty, default values are used. If config is a Config instance, it will be used to configure the instance. parent: Configurable instance, optional The parent Configurable instance of

this object

JUPYTER AND THE FUTURE OF IPYTHON Announcements¶. IPython tends to be released on the last Friday of each month, this section updated rarely. Please have a look at the release history on PyPI.. IPython 7.12.0: Released on Jan 31st 2020.; IPython 7.11.0 and 7.11.1: Released on Dec 27, 2019 and Jan 1st 2020; IPython 7.10.0 and 7.10.1: Released on Nov 27, 2019 and Dec 1st 2019; IPython 7.9.0: Released on Oct 25, 2019

INSTALLING IPYTHON

I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data

science.

DOCUMENTATION

Many pieces which were previously part of IPython were split out in version 4, and now have their own documentation. Jupyter includes: The Jupyter notebook and notebook file format. The Jupyter Qt console. The kernel messaging protocol. Many other components. ipyparallel (formerly IPython.parallel) IPYTHON DOCUMENTATION Introduction. What’s new in IPython. Installation. Using IPython for interactive work. The IPython notebook. Using IPython for parallel computing. Configuration and customization. IPython developer’s guide. The IPython API. INTRODUCTION TO IPYTHON CONFIGURATION The config magic ¶. You can also modify config from inside IPython, using a magic command: %config IPCompleter.greedy = True. At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read USING IPYTHON FOR PARALLEL COMPUTING General considerations. Using ipcluster. Configuring an IPython cluster. IPython on EC2 with StarCluster. Using the ipcontroller and ipengine commands. IPython’s Direct interface. Starting the IPython controller and engines. Creating a DirectView instance. Quick and easy

parallelism.

AUTORELOAD — IPYTHON 3.2.1 DOCUMENTATION Usage ¶. The following magic commands are provided: %autoreload. Reload all modules (except those excluded by %aimport ) automatically now. %autoreload 0. Disable automatic reloading. %autoreload 1. Reload all modules imported with %aimport every time before executing the MODULE: CORE.DEBUGGER Modified from the standard pdb.Pdb class to avoid including readline, so that the command line completion of other programs which include this isn’t damaged. In the future, this class will be expanded with improvements over the standard pdb. The code in this file is mainly lifted out of cmd.py in SECURITY DETAILS OF IPYTHON IPython’s IPython.kernel.zmq package exposes the full power of the Python interpreter over a TCP/IP network for the purposes of parallel computing. This feature brings up the important question of IPython’s security model. This document gives details about this model and how it is implemented in IPython’s architecture. MODULE: CONFIG.CONFIGURABLE If this is empty, default values are used. If config is a Config instance, it will be used to configure the instance. parent: Configurable instance, optional The parent Configurable instance of

this object

INTRODUCING IPYTHON

Debugging¶. After an exception occurs, you can call %debug to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call %pdb, IPython will automatically start the debugger on any uncaught exception.You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem. IPYTHON DOCUMENTATION Introduction. What’s new in IPython. Installation. Using IPython for interactive work. The IPython notebook. Using IPython for parallel computing. Configuration and customization. IPython developer’s guide. The IPython API. INTRODUCTION TO IPYTHON CONFIGURATION If you leave out the profile name, the files will be created for the default profile (see Profiles).These will typically be located in ~/.ipython/profile_default/, and will be named ipython_config.py, ipython_notebook_config.py, etc.The settings in ipython_config.py apply to all IPython commands.. The files typically start by getting the root config object:

INTRODUCTION

Enhanced interactive Python shell¶. IPython’s interactive shell (ipython), has the following goals, amongst others:Provide an interactive shell superior to Python’s default. IPython has many features for tab-completion, object introspection, system shell access, command history retrieval across sessions, and its own special command system for adding functionality when working interactively.

BOOKS AND VIDEOS

Learning IPython for Interactive Computing and Data Visualization. by Cyrille Rossant. 175 pages. Packt Publishing. October 25 2015. This book is a beginner-level introduction to Python for data analysis, covering IPython, the Jupyter Notebook, pandas, NumPy, matplotlib, and many other libraries.

PROJECT — IPYTHON

Project¶. IPython is BSD-licensed, open-source software that is developed as a set of Subprojects under the ipython Github organization. These Subprojects are all part of the larger Project Jupyter umbrella. For further information about project governance, sponsorship and development, please see the Project page on Jupyter’s website.

IPYTHON REFERENCE

IPython is meant to work as a drop-in replacement for the standard interactive interpreter. As such, any code which is valid python should execute normally under IPython (cases where this is not true should be reported as bugs). It does, however, offer many features

which are

MODULE: DISPLAY

18 Classes¶ class IPython.display.Audio (data=None, filename=None, url=None, embed=None, rate=None, autoplay=False) ¶. Bases: IPython.core.display.DisplayObject Create an audio object. When this object is returned by an input cell or passed to the display function, it will result in Audio controls being displayed in the frontend (only works in the notebook). CONVERTING NOTEBOOKS TO OTHER FORMATS Converting notebooks to other formats¶. Newly added in the 1.0 release of IPython is the nbconvert tool, which allows you to convert an .ipynb notebook document file into various static formats.. Currently, nbconvert is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned. IPYTHON AS A SYSTEM SHELL It is possible to adapt IPython for system shell usage. In the past, IPython shipped a special ‘sh’ profile for this purpose, but it had been quarantined since 0.11 release, and in 1.0 it was removed altogether. Nevertheless, much of this section relies on machinery which does not require a

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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

.

To get started with IPython in the Jupyter Notebook, see our official

example collection

.

Our notebook gallery is an excellent way to see the many things you can do with IPython while learning about a variety of topics, from basic programming to advanced statistics or quantum mechanics. To learn more about IPython, you can download our talks and presentations , or read our extensive documentation . IPython is open source (BSD license), and is used by a range of other projects

; add

your project to that list if it uses IPython as a library, and please don’t forget to cite the project. IPython supports Python 2.7 and 3.3 or newer. Our older 1.x series supports Python 2.6 and 3.2. JUPYTER AND THE FUTURE OF IPYTHON¶ IPython is a growing project, with increasingly language-agnostic components. IPython 3.x was the last monolithic release of IPython, containing the notebook server, qtconsole, etc. As of IPython 4.0, the language-agnostic parts of the project: the notebook format, message protocol, qtconsole, notebook web application, etc. have moved to new projects under the name Jupyter . IPython itself is focused on interactive Python, part of which is providing a Python

kernel for Jupyter.

ANNOUNCEMENTS¶

IPython tends to be released on the last Friday of each moth, this section updated rarely. Please have a look at the release history on

PyPI .

* IPYTHON 7.12.0: Released on Jan 31st 2020. * IPYTHON 7.11.0 AND 7.11.1: Released on Dec 27, 2019 and Jan 1st

2020

* IPYTHON 7.10.0 AND 7.10.1: Released on Nov 27, 2019 and Dec 1st

2019

* IPYTHON 7.9.0: Released on Oct 25, 2019 * IPYTHON 7.8.0: Released on Aug 30, 1019 * IPYTHON 7.7.0: Released on Jul 26, 2019 * IPYTHON 7.6.0 AND 7.6.1: Released on June 28th, and July 3rd 2019. * IPYTHON 7.5: fixes to issues brought by 7.4, documentation changes and other minor updates (April 25, 2019) * IPYTHON 7.4: improvements to the completion system and miscellaneous fixes (March 21, 2019) * IPYTHON 7.3: several bugfixes, minor improvements and Python 3.8 support (February 18, 2019) * IPYTHON 7.2: minor bugfixes, improvements, and new configuration options (November 29, 2018) * IPYTHON 7.1: fixes to new features, internal refactoring, and fixes for regressions (October 27, 2018) * IPYTHON 7.0: major new features (September 27th, 2018). See the

release notes

for

more information about what’s new. * IPYTHON 6.5: minor bugfixes and Python 3.7 compatibility (July 28,

2018)

* IPYTHON 5.8: minor bugfixes (July 28, 2018) * IPYTHON 6.4 and IPYTHON 5.7: minor bugfixes (May 10, 2018) * IPYTHON 6.3 and IPYTHON 5.6: new features and bugfixes (April 2,

2018)

* IPYTHON 6.0: This release, the first to require Python 3, integrates the Jedi library for completion. See the release notes for more information about what’s new. * JUPYTERCON 2017: The first Jupyter Community Conference will take place in New York City on August 23-25 2017, along with a satellite training program on August 22-23. The Project Jupyter team has partnered with O’Reilly Media for this event; for more details, including submitting a talk, see the JupyterCon website

.

* IPYTHON 5.0: The release of IPython 5.0 brings a major revision of the terminal interface, including syntax highlighting as you type and better multiline editing, thanks to the prompt_toolkit library. See

the release notes

for more about the new features. * BOOK: Cyrille Rossant has published the second edition of the IPython minibook: Learning IPython for Interactive Computing and Data Visualization , for which Damian Avila was a technical reviewer. We thank Packt Publishing for donating a portion of the proceeds from this book to support IPython’s development. * O’REILLY BOOK: Mining the Social Web is an open source data science project and book that features nearly 130 examples with IPython Notebook and a Vagrant-powered virtual machine environment. You can preview all of the example notebooks from its GitHub repository on IPython’s Notebook Viewer here

.

More news…

CITING IPYTHON¶

Several of the authors of IPython are connected with academic and scientific research, so it is important for us to be able to show the impact of our work in other projects and fields. If IPython contributes to a project that leads to a scientific publication, please acknowledge this fact by citing the project. You can use this ready-made citation entry . � Copyright the IPython development team. Created using Sphinx

1.8.5.