Setup – Data Analysis and Visualization in Python

Using Jupyter Hub

For this workshop, we will be using a Jupyter Hub Instance that LSIT has graciously setup for us with the software and libraries preinstalled. Please use your UCSB NETID to sign into the Jupyter Hub at: https://carpentryworkshop.lsit.ucsb.edu/. If you prefer to use Python on your own computer, you may use the Python installation instructions below, but this is not required.

Data

Data for this lesson is from the Portal Project Teaching Database. Specifically, we use the following eight data files:

surveys.csv

surveys2001.csv

surveys2002.csv

species.csv

speciesSubset.csv

plots.csv

bouldercreek_09_2013.txt

portal_mammals.sqlite

Please download them (by clicking on the corresponding links) and move them to the same directory, or download all the files as a zip which will give you everything in a single compressed file. You’ll need to unzip this file after downloading it and upload the files to the “data” folder in your Jupyter Hub environment.

Installing Python using Anaconda

Python is a popular language for scientific computing, and great for general-purpose programming as well. Installing all of the scientific packages we use in the lesson individually can be a bit cumbersome, and therefore 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., 3.6 is fine).

Installing Anaconda

Open https://www.anaconda.com/products/individual in your web browser.
Download the Anaconda 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.
Verify the installation: click Start, search and select Anaconda Prompt from the menu. A window should pop up where you can now type commands such as checking your Conda installation with:
```
conda --help
```

Video Tutorial

Visit https://www.anaconda.com/products/individual in your web browser.
Download the Anaconda Python 3 installer for macOS. These instructions assume that you use the graphical installer .pkg file.
Follow the Anaconda 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.
Verify the installation: click the Launchpad icon in the Dock, type Terminal in the search field, then click Terminal. A window should pop up where you can now type commands such as checking your conda installation with:
```
conda --help
```

Video Tutorial

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

Open https://www.anaconda.com/products/individual in your web browser.
Download the Anaconda Python 3 installer for Linux.
Install Anaconda using all of the defaults for installation.
- Open a terminal window.
- Navigate to the folder where you downloaded the installer.
- Type bash Anaconda3- and press Tab. The name of the file you just downloaded should appear.
- Press Return
- Follow the text-only prompts. When the license agreement appears (a colon will be present at the bottom of the screen) press Spacebar until you see the bottom of the text. Type yes and press Return to approve the license. Press Return again to approve the default location for the files. Type yes and press Return to prepend Anaconda to your PATH (this makes the Anaconda distribution your user’s default Python).
Verify the installation: this depends a bit on your Linux distribution, but often you will have an Applications listing in which you can select a Terminal icon you can click. A window should pop up where you can now type commands such as checking your conda installation with:
```
conda --help
```

Required Python Packages

The following are packages needed for this workshop:

All packages apart from plotnine will have automatically been installed with Anaconda and we can use Anaconda as a package manager to install the missing plotnine package: You need to open up a Terminal, if you are using Mac OSX, or Linux (see instructions above), or launch an anaconda-promt, if you are using Windows. In your terminal window type the following:

conda install -y -c conda-forge plotnine

This will then install the latest version of plotnine into your conda environment.

Alternative to Anaconda: Miniconda

Miniconda is a lightweight version of Anaconda. If you install Miniconda instead of Anaconda, you need to install required packages manually in the following way:

conda install -y numpy pandas matplotlib jupyter
conda install -c conda-forge plotnine

(Alternative) Installing required packages with environment file

Download the environment.yml file by right-clicking the link and selecting save as. In the directory where you downloaded the environment.yml file run:

conda env create -f environment.yml

Activate the new environment with:

conda activate python-ecology-lesson

You can deactivate the environment with:

conda deactivate

Launch a Jupyter notebook

After installing either Anaconda or Miniconda and the workshop packages, launch a Jupyter notebook by typing this command from the terminal:

jupyter notebook

The notebook should open automatically in your browser. If it does not or you wish to use a different browser, open this link: http://localhost:8888.

For a brief introduction to Jupyter Notebooks, please consult our Introduction to Jupyter Notebooks page.