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Learn to Code with Me!: 2019-2020


URL: https://guides.lib.uci.edu/learntocodewithme

Learn to Code with Me

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 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.

Some Notes

  • Participants should bring their own laptop and have the administrative rights needed to download new software.
  • Can't make it to every session? No worries! Follow along with the lessons and pick up with us the next time you can make it.
  • Join us on Slack! We'll be using a Slack channel to chat and ask each other questions while we work on our own between meetings. It's a bit of an experiment, and a way to get comfortable with this collaboration tool, if you're not already using it. Use your UCI email address to join our Slack channel.

 

Progress Tracker

Did you miss the last session? Keep up with our group's progress!

FALL QUARTER

Thu, Oct 10

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.

Take a look at our Google Doc to see what we did (includes screenshots)

 

Thu, Oct 24

We had a wonderful time learning about HTML in order to prepare ourselves for sourcing text from the web.

See what we got up to on this week's Google Doc.

 

Thu Nov 7

We dug into a little bit more Python and learned to write, read, and append a text file.

Here is this week's Google Doc

 

Thu Nov 21

We had a great time manipulating strings and learning about modularity in Python. We even read a haiku!

See the details with this week's Google Doc

 

Thu Dec 5

We learned to download a web page using Python and isolate the main content from a web page for further analysis.

See the details on our Google Doc

 

WINTER QUARTER PREVIEW

After each session, a Google Doc with lesson details will be posted.

We will be doing something like this over the next 4 weeks... (details subject to change)

  • General review for anyone new to catch up.
  • Review downloading web pages and cleaning up text with Python, and learn commands needed to write an algorithm we will use to further clean and manipulate our web page text. The session will be based on two Programming Historian Lessons: From HTML to List of Words (Parts 1 and 2).
  • Normalizing Textual Data with Python (see lesson)
  • Counting Word Frequencies (see lesson)
  • Creating and Viewing HTML Files with Python (see lesson), and if time, we'll also cover how to Output Data as an HTML File with Python (see lesson)

 

Jan 23

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.

Here is the Google Doc

 

 

Madelynn Dickerson

Madelynn Dickerson's picture
Madelynn Dickerson
Contact:
Science Library
Office 229
949-824-5678