Topics / Ideas - Revisied

what can we cover in an hour?

First Semester

Using a computer - week 1 (but really 2) - tag team week 1

• intro talk about goals of the program - Zoe
• how a computer reads and executes code (program flow) - Shane
  • high level → hardware and software
• command line (bash) - Zoe
  • exercises and computer setup and cheatsheet
• impostor syndrome / how to learn / fearlessness talk- Shane
• installation hour after first meeting - Shane look into windows
  • python, pipenv, homebrew, node, text editor, Github account
  • how to get it working on windows
  • pizza party installation party?

Intro to Programming with Python Week 2 & 3 (zoe away week 3)

Week 2

• python interpreter (hello world)
• data structures (lists, dicts, tuples, sets, types (str, int, etc...))
• set → intersection and union
• built in functions in python len, type, print
• assignment (maybe a reading?)
• python documentation
• python 2 vs 3

Week 3 (

• logic and conditionals
• functions
• pair programming assignment with pairing partners
• debugging (stack traces, print statements)
• package management (pipenv)
• text interpreter (sublime, atom, vscode)
• how to find help (stack overflow, man page, documentation, github)
• how to comment files
• importing modules and third party libraries
• assignment: assign common python library and present on it the next week

THE web and data 4-7 (zoe away week 4)

Week 4 - how to collaborate

• git / GitHub
• i/o files
• file formats (json, csv, txt, yaml, xml, markdown)
• encoding
• assignment: git and github exercise

Week 5 - how to get data

• web scrapping (beatifulsoup)
• assignment: webscraping assignment
• twarc python twitter scrapping
• html
• assignment:

Week 6 - how to get data part 2

• apis
• browser
• the internet (http)
• requests

Week 7 - how to clean data

• jupyter notebook
• pandas
• assignment:

Week 8 - how to visualize data

• altair
• more pandas

Week 9 - how to publish and deploy

Websites 8-9 (zoe away)

• pelican and jekyll
• html, css, javascript
• publishing to the web/deployment

Data manipulation 10-11

• pandas
• regex
• python libraries
• jupyter notebook

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Second semester

APIs

• flask
• server side

Databases

• sqlite
• sql syntax

Advanced data manipulation

• text mining (nltk , htrc)
• networks (networkx)
• thinking quantitatively (why/why not)

Data visualization

• altair/vega/bokeh
• making arguments with visual data

Algorithms

• analysis
• intro to computation theory
• scikit

Programming Patterns

• paradigms (functional programming, OOP)
• design patterns and SOLID