Jan 19-20, 2016
9:00 am - 4:30 pm
Instructors: Chris Fonnesbeck, Emily Dolson
Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. 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 CDC researchers who have already taken a half-day Git course and are familiar with basic Unix commands. You don't need to have any previous knowledge of Python.
Requirements: Participants must bring a laptop, from which they will run a virtual machine. They are also required to abide by Software Carpentry's Code of Conduct.
Contact: Please mail email@example.com for more information.
|09:00||Automating tasks with the Unix shell|
|10:45||Intro to Python|
|13:00||Advanced Git + best practices for writing scientific software|
|14:45||More Python basics|
|09:00||Scientific Programming in Python|
|10:45||Intro to NumPy and SciPy|
|13:00||Data Wrangling with Pandas|
|14:45||Intro to Python Data Visualization|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.