Numpy Tutorial

This Numpy tutorial has been created for Euroscipy 2022. It can be either:

• downloaded to work locally (see the instructions below)
• run on a web browser using jupyter lite: . JupyterLite has been tested on Firefox 90+, Chromium 89+ . You do not need to install anything locally.

Work locally

The course uses Python 3 and some data analysis packages such as Numpy and matplotlib. To install the required libraries, we highly recommend Anaconda or miniconda or another Python distribution that includes the scientific libraries (this recommendation applies to all platforms, so for Window, Linux and Mac). when you install conda Python will be installed along with it. Type conda info in your terminal to make sure conda installed correctly.

Requirements:

Python 3.x
Scipy
Jupyter Notebook
NumPy >= 1.10
matplotlib

make sure that you have installed everything correctly and test jupyter notebook by typing jupyter-notebook.

Quick introduction to Jupyter notebook

to run Jupyter notebook in your terminal type:
jupyter notebook

Esc : takes you into command mode, there you can use:

• a : insert a new cell above
  
• b : insert a new cell below
  
• m : change the current cell to Markdown
  
• y : change the current cell to code

Enter : go back to edit mode

Shift + Enter : execute the cell, move to the cell below

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.