App: IPYNB Tutorials
Developer: Elena Kryvytska
Genres: Bildung, Entwickler-Tools

In the following tutorias you will be guided through the process of installing Jupyter Notebook. Furthermore we’ll explore the basic functionality of Jupyter Notebook and you’ll be able to try out first examples.

This is at the same time the beginning of a series of Python-related tutorial on CodingTheSmartWay.com. From the very beginning you’ll learn everything to need to know to use Python for scientific computing and machine learning use cases.
Jupyter Notebook is great for the following use cases:

live code (e.g. Python code)
visualizations
explanatory text (written in markdown syntax)
data processing / transformation
numeric simulation
statistical modeling

Release notes: