Python

Python is a powerful scripting/programming language widely used in scientific processing and analysis: https://www.python.org/

Download and installation

There are many ways to install Python. We recommend using the Anaconda distribution, which provides a safe and flexible way for installing Python with different packages and all their dependencies. Instructions for installation on various platforms are available in the Anaconda documentation. Using Conda, a Python environment containing all required packages (modules) can be created, see suggested procedure below.

Required packages (modules)

Different Python packages (modules) are required for in different modules/themes of this course. Find the list of required packages in the .yml files. You can download the yaml files for the respective modules here:
Module 1: etrainee_m1.yml
Module 3: etrainee_m3.yml
Module 4: etrainee_m4.yml

Creating the etrainee Python environment with Conda

A recommended practice to set up Python for this course, is to create a Conda environment with all required modules (packages). If you are using Conda, you may use the following procedure to create an etrainee_mX Python environment for each module:

conda env create -f etrainee_m1.yml
conda env create -f etrainee_m2.yml
conda env create -f etrainee_m3.yml

Getting started

Basic knowledge of programming and Python are required in this course. If you are new to Python, check the resources given in the pre-module. If you are already familiar with some Python basics but not with Conda and environments, with Jupyter Notebooks, and with geodata processing in Python then we recommend to go through the Toolbox intro at the beginning of Module 1.