#Jupiter notebook how to#
#Jupiter notebook software#
#Jupiter notebook code#

What is more, Mercury makes it super easy to deploy presentations to the cloud (it can be done with one command on Heroku!). The important difference between nbconvert and Mercury is that latter allows to add widgets to the presentation and recompute slides even during the presentation. In the directory with your notebook and the Mercury will generate slides for you. The nbconvert tool needs to be called in the terminal. Notebook can be converted to slides with nbconvert or Mercury. The presentation created with Jupyter Notebook is using reveal.js package. You don’t need to do this manually, you can simply execute notebook with slides as output. This might be a life saver if your presentation has a lot of plots that need to be often updated. You can create slides with Jupyter Notebook.

NLP web app from Jupyter Notebook to compute text sentiment.

Computer Vision web app from Jupyter Notebook for converting images to sketches,.

Tutorials with example applications built with Mercury:

produce files with notebook and make them available for download.Įxample application created with Mercury for converting images into sketches:.add authentication to notebook - only logged users can see the notebook (super easy to add with one line of YAML!),.download executed notebook as HTML or PDF,.built-in app gallery, you can serve multiple notebooks as web app,.

#Jupiter notebook code#

It makes the process of converting notebook to web application very easy - there is no need to write additional code for User Interface. The YAML header is used to define online presence of the notebook. It adds interactive widgets to the notebook without changes in the code. The voila starts a Tornado application with Jupyter kernel for each user. The interactive widgets are added with ipywidgets package. The voila turns Jupyter Notebook into a standalone web application. There are two ways to convert Jupyter Notebook to web apps with use of open-source tools.

#Jupiter notebook software#

Below is the video of Jeremy Howard (Fast.ai founder) about why notebooks are great for software development: 2. The package is developed by Fast.ai (the company behind courses about Machine Learning for developers).

two-way synchronize between notebook and source code - yes, you can use traditional IDE for code edits and then see it in Jupyter!.

automatic publishing on PyPi and conda,.

write tests in notebook (wow!) and setup Continous Integration (CI) with GitHub Actions,.

automatic documentation generation and publishing on GitHub pages,.

It can greatly speed-up package development with: Surprise, surprise! The Jupyter Notebook can be used for python package development.

#Jupiter notebook how to#

Have you heard about other ways to use the Jupyter Notebook? Let’s explore 8 alternative ways of how to use Jupyter Notebook that might surprise you! 1. It is a default choice of development and experimentation environment for data scientists and machine learning practitioners. You can mix Markdown and selected programming language (usually Python). It provides the REPL (read-eval-print loop) with a visual interface for plots, tables and many more. The Jupyter Notebook is a great tool for experimentation with code.