Learn to Code with Me! [Python!]
Fall Quarter Dates: Oct 10, Oct 24, Nov 7, Nov 21, Dec 5, 2019 from 3:30 - 4:30pm
Winter Quarter Dates: Jan 23, Feb 6, Feb 20, and Mar 5 (cancelled) from 3:30 - 4:30pm
Where: MRC 164 (First Floor, Science Library) Here is a map!
Madelynn is the Digital Humanities and History Librarian at UCI Libraries. She wants to learn computer programming, and studies show that self-paced learning is most successful when doing it together as a group! Hence, Learn to Code with Me, a recurring series for anyone interested in learning about computer coding with a supportive group of co-learners using openly available lessons. Think of it like a cross between a MOOC and a support group.
Join this fun learning community and we’ll learn to code together!
AN INTRODUCTION TO PYTHON
For 2019-2020, we will learn the Python programming language, with a special focus on working with texts, including getting text from websites, and cleaning data. We will use the a series free lessons available from the Programming Historian.
This group is great for anyone interested in learning Python, but especially humanists or those seeking to work with text as data. It is introductory! No experience with coding necessary. We will go as slow as we need to to feel comfortable.
Did you miss the last session? Keep up with our group's progress!
Coding keeps us on our toes! For our first session, we blew up like happy goldfish in a bowl. We had more attendees than seats in the room and had to relocate to MRC 164. Keep your eyes peeled for a new room to accommodate our large group.
We also dealt with the reality that Python 2, which our lessons are based on, is about to sunset and we will need adapt the lessons going forward. We made some significant changes to the first lesson.
We had a wonderful time learning about HTML in order to prepare ourselves for sourcing text from the web.
We dug into a little bit more Python and learned to write, read, and append a text file.
We had a great time manipulating strings and learning about modularity in Python. We even read a haiku!
We learned to download a web page using Python and isolate the main content from a web page for further analysis.
WINTER QUARTER 2020
After each session, a Google Doc with lesson details will be posted.
We did some general review and caught up to where we left off in Dec, with the first part of our "From HTML to List of Words" algorithm.
We wrapped up Part 2 of "From HTML to List of Words." We'll pick up next time on normalizing textual data.
Today we focused on normalizing textual data and counting word frequencies with Python
Mar 5 - Cancelled
This will be our last session of Winter Quarter, and we'll be covering n-grams.