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"The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text."A notebook consists mainly of markdown cells to build narratives around your code and code cells to define computional code respectively show output of executed code (see figure 1).[caption id="attachment_125" align="aligncenter" width="717"] Figure 1: The main cell types[/caption]Jupyter offers the possibily to explain and run your code in blocks, which is quite nice - not only for data scientists, but for tutorial writers as well: you don't have to do all the copy&#38;paste stuff anymore. It supports code in many programming languages, but Python is a requirement for installing the Jupyter Notebook itself.  To get a brief introduction visit this side. The maintainers recommend to use the Anaconda Distribution, which includes Python, the Jupyter Notebook and other commonly used packages.To install Anaconda in Ubuntu, get your installer from the Anacondas download page. Open a new teminal and change to your download folder (for me it's the native Ubuntu download folder)cd DownloadsCheck, if the installation file is inside bylsand install Anaconda by typing (the file name may be different from yours - use tab to  autocomplete, see figure 2)bash Anaconda3-2018-12-Linux-x86_64.sh[caption id="attachment_136" align="aligncenter" width="474"] Figure 2: Install Anaconda[/caption]Say yes, if you are asked to initialize the Anaconda3 installer in your .bashrc and agree to the installation of Microsoft® VSCode as well.Log out and in again to reinitialize .bashrc or typesource ~/.bashrcStart Jupyther Notebook by typingjupyter notebookand a browser window will open (see figure 3).[caption id="attachment_145" align="aligncenter" width="474"] Figure 3: Jupyter Notebook browser start page[/caption]You can access the notebook with the URLs displayed in the terminal, if you close the browser (see figure 4).[caption id="attachment_146" align="aligncenter" width="474"] Figure 4: URLs to open the notebook in your browser[/caption]Congratulations! You successfully installed two snakes and a notebook!To dive deeper into Jupyter, I recommend the Python Data Science Handbook, written by Jake VanderPlas.&#160;&#160;&#160;