Euphoric State University

123 College Street, Euphoria
June 17-18, 2020
9:00 am - 4:30 pm

This page is a template for bootcamp home pages.
Please see https://github.com/swcarpentry/bc for instructions on how to create a repository for your bootcamp.
Please also see the index to our lessons and the index to setup instructions.

Instructors: Grace Hopper, Alan Turing

What: Our goal is to help scientists and engineers become more productive by teaching them basic computing skills like program design, version control, testing, and task automation. In this two-day boot camp, short tutorials will alternate with hands-on practical exercises. Participants will be encouraged both to help one another, and to apply what they have learned to their own research problems during and between sessions. Attendants are offered online office hours: regular events to get one-on-one help from Software Carpentry instructors, online.

Who: The course is aimed at postgraduate students and other scientists who are familiar with basic programming concepts (like loops, conditionals, arrays, and functions) but need help to translate this knowledge into practical tools to help them work more productively.

Requirements: Participants must bring a laptop with a few specific software packages installed.

Content: The syllabus for this boot camp will include:

using the shell to do more in less time
using version control to manage and share information
basic Python programming
how (and how much) to test programs
documentation and debugging

Contact: Please mail random@software-carpentry.org for more information.

Setup

The Bash Shell

Bash is a commonly-used shell. Using a shell gives you more power to do more tasks more quickly with your computer.

Editor

When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words.

Git

Git is a state-of-the-art version control system. It lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com.

Python

Python is becoming more and more popular in scientific computing, and it's a great language for teaching general programming concepts due to its easy-to-read syntax. We will be using Python version 2.7. Installing all the scientific packages for Python individually can be a bit difficult, so we recommend using an all-in-one installer.

Topics

The Unix Shell

Files and Directories
Creating Things
Pipes and Filters
Loops
Shell Scripts
Finding Things

Databases

Selecting
Removing Duplicates
Filtering
Calculating New Values
Ordering Results
Missing Data
Aggregation
Grouping
Combining Data
Creating and Modifying Tables
Transactions
Programming with Databases