PIC 16A Python with Applications I

You can download the course information here.

Winter 2021 Tentative Course Schedule

Week 1

• 01/04 Lecture 1: Course Overview
  – Follow instructions in GettingStarted.pdf on CCLE
  – Reading material: Python tutorial 1 and 2.1.2

• 01/06 Lecture 2: Python Basics - Basic Data Types, Commenting, list
  – Reading material: Python tutorial 3.1.1, 3.1.2, 3.1.3, 5.1

• 01/08 Lecture 3: Python Basics - Modules, Functions
  – Reading material: Python tutorial 4.1 - 4.6

Week 2

• 01/11 Lecture 4: Python Basics - More on functions
  – Reading material: Python tutorial 4.7

• 01/13 Lecture 5: Python Basics - Dictionaries, Tuples, Sets, Functional Programming
  – Reading material: Python tutorial 5.2 - 5.5

• 01/15 Lecture 6: Python Basics - Exception Handling
  – Reading material: Python tutorial 6.1, 8.1 - 8.4

** Homework 1 due Wednesday by 5pm
** Quiz 1 on Wednesday

Week 3

• 01/18 Martin Luther King, Jr. holiday, no class

• 01/20 Lecture 7: Python Basics - Classes and Objects
  – Reading material: tutorialspoint
  

• 01/22 Lecture 8: Python Basics - Iterators and Generators
  – Reading material: Python tutorial 9.8 - 9.10

** Homework 2 due Wednesday by 5pm
** Quiz 2 on Wednesday

Week 4

• 01/25 Lecture 9: Python Basics - More built-in functions, Executing Modules as Scripts
  – Python tutorial 5.6
  – Executing Modules as Scripts
  – Built-in Functions
  

• 01/27 Lecture 10: Inheritance
  – Class Inheritance and Overloading Methods
  

• 01/29 Lecture 11: Input/Output (Console, text files, CSV)
  – Reading and writing files
  – CSV module
  

** Quiz 3 on Wednesday

Week 5

• 02/01 Lecture 12: Regular Expressions I - Basics, Groups, and Quantifiers
  – Reading material: tutorial
  – Cheat sheet
  – To test your regular expressions: pythex
  

• 02/03 Lecture 13: Regular Expressions II
  

• 02/05 Lecture 14: Catch up + Haiku
  

** Homework 3 due Monday by 5pm
** Quiz 4 on Wednesday

Week 6

• 02/08 Midterm exam

• 02/10 Lecture 15: Visualization: Matplotlib and pyplot
  – Recursion
  – Matplotlib tutorial
  

• 02/12 Lecture 16: NumPy
  – Numpy tutorial – Matplotlib tutorial

** Homework 4 due Wednesday by 5pm

Week 7

• 02/15 Presidents’ Day holiday: No class

• 02/17 Lecture 17: More on plotting
  – Numpy tutorial
  

• 02/19 Lecture 18: Grey-scale images and adding noise to an image
  – Matplotlib image tutorial
  

** Homework 5 due Wednesday by 5pm
** Quiz 5 on Wednesday

Week 8

• 02/22 Lecture 19: Uniform Blur, Gaussian Blur, Edge Detection
  – Blurring for Beginners
  

• 02/24 Lecture 20: Edge detection continued.
  

• 02/26 Lecture 21: GUI Tkinter I: Drawing Lines and Shapes
  – Python GUI Programming
  

Week 9

• 03/01 Lecture 22: GUI TkInter II - Widgets, Events and Bindings
  

• 03/03 Lecture 23: Pandas
  – Pandas Tutorial
  – Pandas Basics Cheat Sheet (on CCLE)
  

• 03/05 Lecture 24: Pandas II
  – Pandas Tutorial
  

** Homework 6 due Monday by 5pm
** Quiz 6 on Monday

Week 10

• 03/08 Lecture 25: NLTK (Natural Language Toolkit) - Concordance, Contexts, Dispersion
  – NLTK book
  

• 03/10 Lecture 26: Lecture 26: Machine Learning: SVM
  – Machine learning: the problem setting
  – Scikit-learn: Support Vector Machines (SVMs)
  

• 03/12 Lecture 27: Final Review

** Homework 7 due Monday by 5pm

Final exam: March 15, 2021