1. Colaboratory Notebooks
a. will serve as our Python IDE for this course
i. Log into Google (decide whether you want to use your personal or
school)
ii. Visit the Colab website
iii. Check out this Colab Tutorial to get set up
iv. Then this Colab Overview for some basic functionality
b. Create a list_comp.ipynb notebook to complete the exercises
c. LC Exercises - Due: 9/11
3. Review of reading and writing files in Python
a. Opening, Reading , Writing and Appending of files
b. Exercises - Due: 9/13
A solution to the QB_data problem
4. Review of 2D Plotting using MatPlotLib
a. Plotting data
b. Exercises - Due: 9/17
5. Regular Expressions - string for presentation
(we won't cover this topic formally but would highly recommend
checking it out if you think you'll be exploring a career in
Computer Science)
a. How to access Python’s regular expression module
b. Examples of regular expression wildcard characters - *?.- ect…
c. Exercises
d. EC Problem