Introduction to JuPyter Notebook


Do You know the feeling of being already late to a party when encountering something new?

But when you actually start telling others about it, You realize that it is not too common sense at all, e.g. JuPyter Notebooks.

What is a JuPyter notebook?

In my own words: a browser-based document-oriented command line style exploration tool for python.  Huh!

Ok, let’s break it down:


JuPyter is a client-server concept where you edit your code in a web form in a browser. You send the input of a cell to the server backend for execution and the server sends back a response which will be rendered in your browser.


On great aspect of a JuPyter is that You can enrich your code in a nice fashion with headlines and markdown code so that you have a document containing code, the result of the code execution and documentation.

Installation and Run

If You already have a python installation You can either use pip or pipenv to install JuPyter


pip install jupyter
pip install ipython
ipython kernal install


After installation you can start it on the console with:


An alternative way is to use the anaconda distribution.


On big drawback -when your background is SW development- is that You don’t have code completion.

Another disadvantage: modularization of your code is not easy.

Versioning is an issue as well. Because the Jupyter notebook’s json files contains code and generated artifacts like plots every re-run of a notebook changes the file. The diff is not easily comprehensible.

PyCharm Integration

For the code completion issue there is JetBrains for the rescue: PyCharm IDE has an integrated JuPyter editor which supports code completion.

Useful Keyboard Shortcuts

Ctrl + Enter: Run Cell

Alt + Enter: Run Cell and insert new cell below

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