Virtual Data Carpentry Workshop - Python

Curtin University

Online

Dec 2 - 3, 2020

8:45 am - 12:00 pm

Instructors: Paul Hancock

Helpers: Aniek Roelofs, Rakib Hassan, Sawitchaya Tippaya

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General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers from Curtin University. Please note, this workshop is not open to external participants. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: Dec 2 - 3, 2020. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

Contact: Please email curtinic@curtin.edu.au for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1, Wed Dec 2

Before starting Pre-workshop survey
08:45 Join online workshop and set up
09:00 Introduction to the workshop and tools
10:30 Coffee Break
10:45 Introduction to python
12:00 Wrap up

Day 2, Thurs Dec 3

08:45 Join online workshop and set up
09:00 Introduction to python continued
10:30 Coffee Break
10:45 Introduction to python continued
12:00 Post-workshop survey

Syllabus

Introduction to Python

  • Overview of Python
  • Starting with Data
  • Manipulating Data Frames
  • Data Workflows and Automation
  • Reference...

Setup

To participate in a Data Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Video conferencing

Set up your workspace

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.

Python

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

Regardless of how you choose to install it, please make sure you install Python version 3.7 or 3.8

We will teach Python using the Jupyter Notebook, a programming environment that runs in a web browser (Jupyter Notebook will be installed by Anaconda). For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).

  1. Open https://www.anaconda.com/distribution/#download-section with your web browser.
  2. Download the Anaconda for Windows installer with Python 3.8. (If you are not sure which version to choose, you probably want the 64-bit Graphical Installer Anaconda3-...-Windows-x86_64.exe)
  3. Install Python 3 by running the Anaconda Installer, 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..
  1. Open https://www.anaconda.com/distribution/#download-section with your web browser.
  2. Download the Anaconda Installer with Python 3.8 for macOS (you can either use the Graphical or the Command Line Installer).
  3. Download the Anaconda Python 3 installer for macOS. These instructions assume that you use the graphical installer .pkg file.
  4. 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.
  1. Open https://www.anaconda.com/distribution/#download-section with your web browser.
  2. Download the Anaconda Installer with Python 3.8 for Linux.
    (The installation requires using the shell. If you aren't comfortable doing the installation yourself stop here and request help at the workshop.)
  3. Open a terminal window and navigate to the directory where the executable is downloaded (e.g., `cd ~/Downloads`).
  4. Type
    bash Anaconda3-
    and then press Tab to autocomplete the full file name. The name of file you just downloaded should appear.
  5. Press Enter. You will follow the text-only prompts. To move through the text, press Spacebar. Type yes and press enter to approve the license. Press Enter to approve the default location for the files. Type yes and press Enter to prepend Anaconda to your PATH (this makes the Anaconda distribution the default Python).
  6. Close the terminal window.