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Python on Jupyter

After this tutorial you will be able to

  • be able to write and execute Python code in Jupyter Notebooks
  • use Python variables of the most common data types, functions, for-loops, if-statements and package imports
  • use numpy arrays to perform basic calculations with sequences of values
  • visualise your 1D data with matplotlib

Get started

For this lecure, you need jupyter, numpy, matplotlib, and pandas to be installed on your computer (most likely this is already the case). If not install these packages from the command line with the package manager pip (more info).

Open a Terminal window and download a copy of this repository (clone). Navigate into the folder of this repository and type:

jupyter notebook

A browser window will open and you will be able to access the three exercises saved in separate notebooks:

Exercise 1

First steps in Python with Jupyter Notebook

1_First_steps.ipynb

Exercise 2

Plotting array data

2_Plot_data.ipynb

Exercise 3

Processing of image data

3_Image_feature_detection.ipynb