{"id":176089,"date":"2024-01-06T23:02:39","date_gmt":"2024-01-06T22:02:39","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=176089"},"modified":"2024-01-06T23:11:55","modified_gmt":"2024-01-06T22:11:55","slug":"ipython-discover-the-python-shell-at-the-heart-of-jupyter-notebook","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/ipython-discover-the-python-shell-at-the-heart-of-jupyter-notebook","title":{"rendered":"IPython: Discover the Python shell at the heart of Jupyter Notebook"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"176089\" class=\"elementor elementor-176089\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ee6e46f e-flex e-con-boxed e-con\" data-id=\"ee6e46f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d771818 elementor-widget elementor-widget-heading\" data-id=\"d771818\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">IPython is an enhanced version of the standard Python shell, offering many additional features. Find out more about its history, its benefits and its close links with Project Jupyter.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a2ce732 e-flex e-con-boxed e-con\" data-id=\"a2ce732\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c16ee09 elementor-widget elementor-widget-text-editor\" data-id=\"c16ee09\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>The <strong>standard Python distribution<\/strong> offers a &#8220;REPL&#8221; (Read-Evaluate-Print Loop) environment in the form of the Python shell with the &#8221; &#8221; prompt.<\/p><p>However, the IPython (Interactive Python) environment offers many additional features to this <a href=\"https:\/\/datascientest.com\/en\/top-10-native-python-functions\">standard Python<\/a> shell. It is also the root of Project Jupyter.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related Articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Folium: Discover the open source Python library &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/folium-discover-the-open-source-python-library\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/folium-discover-the-open-source-python-library\" target=\"_blank\" rel=\"noopener\">Folium: Discover the open source Python library <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Matplotlib: Master Data Visualization in Python &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\" target=\"_blank\" rel=\"noopener\">Matplotlib: Master Data Visualization in Python <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Crash Course: Get started &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\" target=\"_blank\" rel=\"noopener\">Python Crash Course: Get started <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mastering Machine Learning in Python: Data-Driven Success &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\" target=\"_blank\" rel=\"noopener\">Mastering Machine Learning in Python: Data-Driven Success <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Programming for Beginners - Episode 3&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\" target=\"_blank\" rel=\"noopener\">Python Programming for Beginners &#8211; Episode 3<\/a><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2fa5a13 e-flex e-con-boxed e-con\" data-id=\"2fa5a13\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8aa8683 elementor-widget elementor-widget-heading\" data-id=\"8aa8683\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is IPython?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f6628ae elementor-widget elementor-widget-text-editor\" data-id=\"f6628ae\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>IPython<\/strong> is a vastly improved Python interpreter, created in 2001 by Fernando Perez. Starting in 2005, a notebook interface for the <strong>IPython<\/strong> shell was released, and other languages such as R and Julia were subsequently supported.<\/p><p>Almost a decade later, in 2014, Fernando Perez created the Jupyter project as a &#8220;spin-off&#8221; from IPython. For good reason, <strong>IPython<\/strong> had been enhanced with a notebook server and a Qt console.<\/p><p>As of IPython 4.0, all additional components have been transferred to Project Jupyter. Support for other languages was added to the <strong>IPython notebook.<\/strong><\/p><p>At present, IPython continues to focus on improving its interpreter functionality. It also provides the<strong> primary kernel for the Jupyter notebook.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61491e3 elementor-widget elementor-widget-image\" data-id=\"61491e3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/ipython-avantages.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d279e08 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"d279e08\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to use IPython<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c334070 e-flex e-con-boxed e-con\" data-id=\"c334070\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-745761f elementor-widget elementor-widget-heading\" data-id=\"745761f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The benefits of IPython<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-647b5f7 elementor-widget elementor-widget-text-editor\" data-id=\"647b5f7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>IPython<\/strong> offers additional capabilities to Python. Its first highlight is a powerful interactive Python shell.<\/p><p>Other highlights include syntax highlighting, and a handy magic command system for <strong>controlling the Python environment and performing OS tasks<\/strong>. Tab-completion of keywords, variables and function names is another plus.<\/p><p>Its object introspection capabilities make it possible to check object properties during runtime. It offers some very useful features for exploration, such as the &#8220;?&#8221; operator for indicating the type and docstring of a variable.<\/p><p>If it&#8217;s a<strong> class or a callable<\/strong>, the call or constructor signature is displayed. If you add a second &#8220;?&#8221;, the source code also appears. What&#8217;s more, it includes easy-to-use, high-performance tools for <strong>parallel computing.<\/strong><\/p><p>If an exception occurs when executing a script with the &#8220;run&#8221; command, you can access the Python pdb debugger with the &#8220;debug&#8221; command, without having to execute the script again. It is then <strong>possible to examine the script as it was before the exception.<\/strong><\/p><p>The &#8220;run-p&#8221; command displays a list showing the number of calls for each function, and the cumulative time with or without sub-calls.<\/p><p>These statistics make it possible to target optimization more effectively. The entire interaction history is stored.<\/p><p>Many Python programs can be <strong>integrated with IPython.<\/strong> One example is the Matplotlib library. This simplifies the scripting of interactive plots, and ipython -pylab offers a data visualization environment comparable to Matlab.<\/p><p>In addition, <strong>IPython<\/strong> acts as the main kernel for the Jupyter notebook and other <strong>Project Jupyter front-end tools. It is therefore an essential tool for Data Science.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2278503 elementor-widget elementor-widget-image\" data-id=\"2278503\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/02\/jupyter-ipython.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c01d406 e-flex e-con-boxed e-con\" data-id=\"c01d406\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-56e3ba5 elementor-widget elementor-widget-heading\" data-id=\"56e3ba5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is the Project Jupyter?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a29249a elementor-widget elementor-widget-text-editor\" data-id=\"a29249a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Project Jupyter<\/strong> is a complete software ecosystem dedicated to interactive computing, originally created as a spin-off from IPython. It brings together several tools and programs.<\/p><p>The Jupyter notebook is a web-based interface to the programming environments of Python, Julia, R and many others. The QtConsole is a<strong> Qt-based terminal for Jupyter kernels similar to IPython.<\/strong><\/p><p>The nbviewer makes it easy to share Jupyter notebooks, and the JupyterLab is a modern web-based integrated interface for all products. Jupyter ?<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9b0ffff e-flex e-con-boxed e-con\" data-id=\"9b0ffff\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9cd64f7 elementor-widget elementor-widget-heading\" data-id=\"9cd64f7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion: IPython, a vastly improved Python interpreter<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-faabc90 elementor-widget elementor-widget-text-editor\" data-id=\"faabc90\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>IPython<\/strong> improves exploration, debugging and optimization with Python. It is also very useful for parallel computing, and serves as the kernel for Jupyter notebooks.<\/p><p>To learn how to use Python, <strong>IPython and Jupter, choose DataScientest.<\/strong><\/p><p>Our online training courses provide you with all the skills you need to become a Data Scientist, Data Analyst, Data Engineer or <a href=\"https:\/\/datascientest.com\/en\/data-manager-job-description\">Data Manager.<\/a><\/p><p>All our courses can be completed entirely by distance learning, and are eligible for funding options. Discover DataScientest now!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c22c014 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"c22c014\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover DataScientest training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a154a73 elementor-widget elementor-widget-text-editor\" data-id=\"a154a73\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Now you know all about IPython. For more information on the same subject, take a look at our complete dossier on Python and our<strong> dossier on Jupyter notebooks.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2ec3d02 e-flex e-con-boxed e-con\" data-id=\"2ec3d02\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-82b8ea8 elementor-widget elementor-widget-html\" data-id=\"82b8ea8\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is IPython?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"IPython is a vastly improved Python interpreter, created in 2001 by Fernando Perez. 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Find out more about its history, its benefits and its close links with Project Jupyter. The standard Python distribution offers a &#8220;REPL&#8221; (Read-Evaluate-Print Loop) environment in the form of the Python shell with the &#8221; &#8221; prompt. However, the IPython (Interactive [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":176100,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>IPython: Discover the Python shell at the heart of Jupyter Notebook<\/title>\n<meta name=\"description\" content=\"Delve into the depths of IPython, the command-line interface that powers Jupyter Notebook&#039;s magic. Unlock the secrets of this interactive Python shell, enhancing your coding and data exploration experience in the world of Jupyter.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/ipython-discover-the-python-shell-at-the-heart-of-jupyter-notebook\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IPython: Discover the Python shell at the heart of Jupyter Notebook\" \/>\n<meta property=\"og:description\" content=\"IPython is an enhanced version of the standard Python shell, offering many additional features. 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