Dates:  Wednesdays 11 am-12:30 pm, except for April 4, which is 10:30 am-
12:00 pm

 

Part 1:  March 14-April 4

Part 2:  April 11- May 2

 

 

Sponsored by:  Center for Research Data and Digital Scholarship (CRDDS) and
Research Computing

 

This pair of short courses will provide an overview of Python fundamentals,
split into two sessions, each meeting for an hour and a half for four
weeks.  It is targeted at participants with prior experience programming in
another language, but who wish to get up and running with Python.  Topics
covered will include variables & objects, functions, conditionals, and
loops. We will also discuss how to build custom Python modules and provide
an overview of popular 3rd-party packages such as Numpy.  This course will
combine lectures with interactive exercises.  It is available free of
charge.  Participants must have the following knowledge to be able to
participate:  be familiar with fundamental aspects of programming (loop
structure, variables, basic data structures), and a laptop.

  
NOTE:  This course will not cover “how to program” – we that expect
you have prior experience in another programming language, and that you want
to transition to using Python.

Please visit  the following links to regisrer 

Python Course Part 1:

https://cuboulder.qualtrics.com/jfe/form/SV_1zyGFQboOwHnwnr [1] Python
Course Part 2:
https://cuboulder.qualtrics.com/jfe/form/SV_9WsNcYTBhoxmMrX [2] . 

Registration closes March 7 or once full.  Due to anticipated demand, we ask
that if you register for a short course you make a commitment to attend all
sessions in the course.

Due to the brevity of these sessions, we will not be able to address issues
related to a faulty Python installation in-class.  Attendees are expected to
arrive with a functional installation of Python 3.x and the following
packages installed on their laptop:  Numpy, Matplotlib, h5py, netCDF4, and
Pandas.   Installation instructions will be emailed in advance of the
course.  Those requiring assistance during the installation process should
either attend the March 12 prep session or make a separate appointment by
contacting Nick Featherstone (Nicholas.featherstone@colorado.edu)

*Tentative Agenda:*

March 12:  Prep session (optional) Short Course, Part 1 (Programming
Basics)March 14:  Overview, variables, memoryMarch 21:  Conditionals,
functionsMarch 28:  Loops, listsApril 4 (note time change):  Objects,
modules Short Course, Part 2 (Python packages):Selected topics in this
session will include numpy, data management with HDF5, matplotlib, and
creating custom packages.  More information to follow. 
https://rc.colorado.edu/news/programminginpython