- 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.
February 28 - March 01, 2019
9:00 am - 4:30 pm
Instructors: Jason Bell
To register – you must email Jason Bell (email@example.com) to register for this event.
You must attend both days, unless otherwise confirmed with the instructor. With this training provide online using ZOOM, places are very limited. With this in mind, if you register to attend and then don’t attend the full training, you will forfeit any other training provided by CQUniversity eResearch Support for the remaining of the year. Obviously, if there are extenuating circumstances, then they will be considered. If you cannot make this workshop, you will need to information the trainers 48 hours prior to the start of the workshop.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. 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 "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: February 28 - March 01, 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. They should have a few specific software packages installed (listed below). on.
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:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email firstname.lastname@example.org for more information.
Please be sure to complete these surveys before and after the workshop.
|09:00||Running and Quitting|
|09:15||Variables and Assignment|
|9:50||Data Types and Type Conversion|
|10:45||Built-in Functions and Help|
|13:15||Reading Tabular Data into DataFrames|
|10:45||Looping Over Data Sets|
Lessons online : http://swcarpentry.github.io/python-novice-gapminder/
Setup information: http://swcarpentry.github.io/python-novice-gapminder/setup/
Please note that we will not using Jupyter notebook, instead we will be using the “spyder” interactive development environment, as it is more user friendly and already come as part of an anaconda installation.
To participate in a Software 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.
yesand press enter to approve the license. Press enter to approve the default location for the files. Type
yesand press enter to prepend Anaconda to your
PATH(this makes the Anaconda distribution the default Python).
Additonal setup information can be found at http://swcarpentry.github.io/python-novice-gapminder/setup/