Syllabus

Homework:

Set up your Python installation if you haven't.

Practice the following in your OS until you are comfortable:

• creating Python scripts (plain text files) that print some message,
• placing them where you want on your disk,
• running them from command line.

Reading: ch. 1~2.3.2 of the textbook

Homework:

• Reading: ch. 2.4~3.4
• Write a Python script file named "comparison.py" that compares 3 variables (x, y, z) and prints out the largest number. Assign x, y, z to any numbers you like.
• Bring this script to the class next time.

Homework:

• Finish Conditionals: the largest of three numbers assignment on Autogradr (if you haven't);
• complete the Conditionals: grade conversion assignment on Autogradr.

Reading: ch. 2~3 of the textbook

Homework:

• Loops: in-class assignment on Autogradr (if you haven't);
• Loops: Caesar's cipher and guessing game on Autogradr.

Reading: ch. 4~4.4 of the textbook

Homework:

• Finish the Loops assignments on Autogradr (if you haven't);

Reading: ch. 4~4.4 of the textbook

Homework:

• Autogradr: functions (odd_letters, strip_vowels)

Note: odd_letters function should return even letters, sorry about the confusion.

Reading: ch. 4.3~4.6 of the textbook

Homework:

• Finish the Functions assignments on Autogradr (if you haven't) and class exercise;

Reading: review the code in all the previous lectures

Homework:

• Autogradr: new "save message" project, previous project still available (with late penalty)

Reading: ch. 5.1~5.5 of the textbook

Homework:

• Autogradr: Sequences assignment

Reading: ch. 5.6 of the textbook

Homework:

• Class exercise: frequency dictionary and Spanish dictionary;

Reading: ch. 6

Homework:

• Autogradr: Types assignment

• Reading: ch.6

Homework:

• Finish class exercises;

Reading: all past material

Midterm

Homework:

• Finish class exercises;

Reading: ch. 6

Programming: finish in-class practice

Homework:

• Finish class exercises;

Reading: ch. 11,

Programming: 2 RegEx assignments on Autogradr

Homework:

Reading: go through the class Jupyter notebook;

Programming: create a plot similar to the one in the lecture slides

Homework:

Reading: go through the class Jupyter notebook

Programming: Dataframe Amazon reviews assignment on Autogradr

Homework:

Reading: go through the class Jupyter notebook, textbook ch. 15;

Programming: finish the Amazon review assignment if you haven't. If you have, do it again with a different data structure.

Homework:

Reading: go through the class Jupyter notebook, textboox ch. 15, Seaborn gallery and documentation.

Programming: 1x2 violin plots with extra categorical variables for Amazon review data. Instructions in the slides, submit by email by next class.

Homework:

Reading: go through the class Jupyter notebook, Beautiful Soup documentation;

Programming: download, process XML course file as described in lecture slides, and visualize the course distribution per subject.

Homework:

Reading: go through the class Jupyter notebook, W3Schools HTML tutorial (optional);

Programming: Rent in Boston South End assignment (instructions in the slides).

Homework:

Reading: go through the class Jupyter notebook, Beautiful Soup documentation;

Programming: Rent in Boston South End assignment (instructions in the slides, extended).

Homework:

Reading: go through the class Jupyter notebook, textbook ch. 21

Programming: Finish the rend exercise if you haven't, re-write the jsonl doctors class exercise for practice.

Homework:

Reading: go through the slides, textbook ch.; 21

Programming: catch up with any missed homeworks

Homework:

Reading: textbook ch. 21, JSON/JSONL notebooks

Programming: finish the prescriptions exercise, bring your code and solution to the next class.

Homework:

Reading: Jupyter notebook with Pandas plots

Programming: catch up with any missed homeworks (half the points), 6 new Pandas assignments on Autogradr

Homework:

Reading: review anything you missed

Programming: catch up with any missed homeworks, 6 new Pandas assignments on Autogradr