Set-up Instructions:

Prerequirisite software:

Anaconda or Micromamba
Python 3.x (<=3.10)
Jupyter Lab

On Windows, this setup uses Anaconda prompt to install the prerequisites for the course. Experienced users may opt for other options such as Git Bash or Windows Subsystem for Linux

Installing Python Using Anaconda

If you want to instal Micromamba instead, please skip this and go to Option 2 below.

Python is a popular language for scientific computing, and great for general-purpose programming as well. Installing all of its scientific packages individually can be a bit difficult, however, so we recommend the all-in-one installer Anaconda.

Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.7 is fine). Also, please set up your python environment at least a day in advance of the workshop. If you encounter problems with the installation procedure, ask your workshop organizers via e-mail for assistance so you are ready to go as soon as the workshop begins.

Windows - Video tutorial

Open https://www.anaconda.com/distribution/ with your web browser.
Download the Python 3 installer for Windows.
Double-click the executable and install Python 3 using the recommended settings. Make sure that Register Anaconda as my default Python 3.x option is checked - it should be in the latest version of Anaconda. We also recommend that you make sure “Add Anaconda to my PATH environment variable” is selected.

Mac OS X - Video tutorial

Visit https://www.anaconda.com/distribution/ with your web browser.
Download the Python 3 installer for OS X. These instructions assume that you use the graphical installer .pkg file.
Follow the Python 3 installation instructions. Make sure that the install location is set to “Install only for me” so Anaconda will install its files locally, relative to your home directory. Installing the software for all users tends to create problems in the long run and should be avoided.

Linux

Note that the following installation steps require you to work from the shell. If you run into any difficulties, please request help before the workshop begins.

Open https://www.anaconda.com/distribution/ with your web browser.
Download the Python 3 installer for Linux.
Install Python 3 using all of the defaults for installation.

a. Open a terminal window.

b. Navigate to the folder where you downloaded the installer

c. Type
```
$ bash Anaconda3-
```
and press tab. The name of the file you just downloaded should appear.

d. Press enter.

e. Follow the text-only prompts. When the license agreement appears (a colon will be present at the bottom of the screen) press the space bar until you see the bottom of the text. Type yes and press enter to approve the license. Press enter again to approve the default location for the files. Type yes and press enter to prepend Anaconda to your PATH (this makes the Anaconda distribution your user’s default Python).

Option 1 Setting up the workshop environment with conda

If Anaconda was properly installed, you should have access to the conda command in your terminal/anaconda prompt.

Test that it works by running the conda command in the terminal. You should get an output that looks like this:
```
 $ conda
 usage: conda [-h] [-V] command ...
```

Create the environment using the conda create command. It’s possible to paste the following code on the terminal/anaconda prompt:

 conda create -n geospatial -c conda-forge -y \
   python=3.10 jupyterlab numpy matplotlib \
   xarray rasterio geopandas rioxarray earthpy descartes xarray-spatial pystac-client python-graphviz

```
 conda activate geospatial
```
If successful, the text (base) in your terminal prompt will now read (geospatial) indicating that you are now in the Anaconda virtual environment named geospatial. The command which python should confirm that we’re using the Python installation in the geospatial virtual environment. For example:
```
 % which python
 > /Users/your-username/anaconda3/envs/geospatial/bin/python
                                       ^^^^^^^^^^
```
IMPORTANT

If you close the terminal, you will need to reactivate this environment with conda activate geospatial to use the Python libraries required for the lesson and to start JupyterLab, which is also installed in the geospatial environment.

Option 2 Using Micromamba

Install micromamba with
- Mac: curl micro.mamba.pm/install.sh | zsh
- Linux: curl micro.mamba.pm/install.sh | bash
- Windows: https://mamba.readthedocs.io/en/latest/installation.html#windows
Open a new terminal window and type micromamba create -n geospatial -c conda-forge -y \ python=3.10 jupyterlab numpy matplotlib \ xarray rasterio geopandas rioxarray earthpy descartes xarray-spatial pystac-client python-graphviz
```
 micromamba activate geospatial
```
If successful, the text (base) in your terminal prompt will now read (geospatial) indicating that you are now in the virtual environment named geospatial.

IMPORTANT

If you close the terminal, you will need to reactivate this environment with micromamba activate geospatial to use the Python libraries required for the lesson and to start JupyterLab, which is also installed in the geospatial environment.

Option 3 Using Binder

Don’t install anything. Just go to this binder link in your web browser.

Download files

We’ll use some files on day two. Download them and move then to a location where you can find them