{"id":185882,"date":"2023-03-01T10:52:20","date_gmt":"2023-03-01T15:52:20","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=185882"},"modified":"2023-03-01T10:52:36","modified_gmt":"2023-03-01T15:52:36","slug":"jupyter-notebook-tutorial-installation-components-and-magic-commands-part-v","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/jupyter-notebook-tutorial-installation-components-and-magic-commands-part-v\/","title":{"rendered":"Jupyter Notebook Tutorial: Installation, Components and Magic Commands \u2013 Part V"},"content":{"rendered":"\n

See Part I<\/a> for an overview of Jupyter Notebook, Part II<\/a> for the different components of Jupyter Notebooks, Part III<\/a> for instructions on how to write down in Markdown in Jupyter Notebooks and Part IV<\/a> for how to insert an image in a markdown cell<\/em>.<\/p>\n\n\n\n

How to download and share Jupyter Notebook?<\/h3>\n\n\n\n

Being a programmer, you often want the work that you have done to be shared with other colleagues. Keeping this in mind, Jupyter environment allows you to download files in multiple formats such as HTML file(.html), LaTeX file(.tex), GitHub flavoured Markdown file(.md), PDF file(.pdf), reStructured file(.rst), and so on. The Download as<\/em> option in the File menu allows you to download the notebook in a format of your choice, as shown below:<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

When you download a notebook, it will be downloaded in whatever state it is. That is the output of executed cells, any error that you might have as an output will be as it is. Hence, it is essential that you make a notebook ready to be shared. To do so, you can perform the following steps:<\/p>\n\n\n\n

    \n
  1. Go to Cell<\/em> menu, select All Output<\/em> option, and finally choose the Clear<\/em> option. This action will clear the output of all cells.<\/li>\n\n\n\n
  2. Next, go to Kernel<\/em> menu, and select the Restart & Run All<\/em> option. This action will restart the kernel and execute all cells.<\/li>\n<\/ol>\n\n\n\n

    After performing the above steps, ensure that the notebook is in the state in which you would like to share with others.<\/p>\n\n\n\n

    Besides exporting notebooks to your local workstation, you can create, list and load it on GitHub Gists. Gists are a way to share your work on the cloud. You can find more information here<\/a>.<\/p>\n\n\n\n

    Also, you can use JupyerHub<\/a>, which serves Jupyter notebooks to multiple users. In other words, it is the hosting platform for notebooks on a server with multiple users.<\/p>\n\n\n\n

    Additionally, you can use the nbviewer<\/a> to render Jupyter notebooks as static web pages. Platforms such as RISE<\/a> and nbpresent<\/a> allow you to convert Jupyter notebooks to slideshows.<\/p>\n\n\n\n

    Final Thoughts<\/h2>\n\n\n\n

    I hope this introductory guide to Jupyter notebooks provides you with the foundation. In this relatively a multi-part article, First, I started with the explanation of Jupyter notebook, its installation process, running locally on your workstation and so on. Next, during the process, you also got exposed to various components of Jupyter notebooks and keyboard shortcuts. Then, you learnt writing in markdown language. After that, you learnt various magic commands in Jupyter notebook. Finally, you learnt how to download and share Jupyter notebooks.<\/p>\n\n\n\n

    Thanks for reading.<\/p>\n\n\n\n

    Originally posted on QuantInsti Blog: https:\/\/blog.quantinsti.com\/jupyter-notebook-tutorial-installation-components-magic-commands\/<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

    Being a programmer, you often want the work that you have done to be shared with other colleagues. Keeping this in mind, Jupyter environment allows you to download files in multiple formats such as HTML file(.html), LaTeX file(.tex), GitHub flavoured Markdown file(.md), PDF file(.pdf), reStructured file(.rst), and so on. <\/p>\n","protected":false},"author":328,"featured_media":183981,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[339,343,349,338,350,341,351,352,344,2197],"tags":[6922,6614,14549,595],"contributors-categories":[13654],"class_list":["post-185882","post","type-post","status-publish","format-standard","has-post-thumbnail","category-data-science","category-programing-languages","category-python-development","category-ibkr-quant-news","category-quant-asia-pacific","category-quant-development","category-quant-europe","category-quant-north-america","category-quant-regions","category-quant-south-america","tag-anaconda","tag-jupyter-notebook","tag-markdown-language","tag-python","contributors-categories-quantinsti"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"\nJupyter Notebook Tutorial: Installation, Components and Magic Commands \u2013 Part V<\/title>\n<meta name=\"description\" content=\"Being a programmer, you often want the work that you have done to be shared with other colleagues. 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