- Open https://www.anaconda.com/download/#windows with your web browser.
- Download the Python 3 installer for Windows.
- Install Python 3 using all of the defaults for installation except make sure to check Add Anaconda to my PATH environment variable.
March 16, 2019
9:00 - 17:00
Instructors: Raniere Silva
Helpers: Aleks Nenadic, Gerard Capes, Niall Beard
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: Data Carpentry courses are aimed at graduate students and other researchers. This particular course is hosted by the Manchester Biomedical Research Centre, University of Manchester, and will be delivered to undergrad students of medicine with a focus on health data analyses using the antibiotics dataset similar to the one here. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Stopford Building Room G.382, Oxford Road, University of Manchester. Get directions with OpenStreetMap or Google Maps.
When: March 16, 2019. 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).
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.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Contact: Please email jane.crosbie@manchester.ac.uk for more information.
Please be sure to complete these surveys before and after the workshop.
| 9:00 | Setup and pre-workshop survey |
| Morning (including a break) | Health data analysis and visualisation in python |
| 12:00-13:00 | Lunch |
| Afternoon (including a break) | Health data analysis and visualisation in python |
| 17:00 | END |
We will be working with the following dataset:
Code similar to the one used in the workshop can be found at:
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.
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.x (e.g., 3.6 is fine).
We will teach Python using the Jupyter notebook, a programming environment that runs in a web browser. 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).
bash Anaconda3-and then press Tab. The name of the file you just downloaded should appear. If it does not, navigate to the folder where you downloaded the file, for example with:
cd DownloadsThen, try again.
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).