PIC 16A Python with Applications I

You can download the course information here.

Fall 2020 Tentative Course Schedule

Week 0

• 10/02 Lecture 1: Course Overview
  – Follow instructions in GettingStarted.pdf on CCLE
  – Reading material: Python tutorial 1 and 2.1.2

Week 1

• 10/05 Lecture 2: Python Basics - Basic Data Types, Commenting, list
  – Reading material: Python tutorial 3.1.1, 3.1.2, 3.1.3, 5.1
• 10/07 Lecture 3: Python Basics - Modules, Functions
  – Reading material: Python tutorial 4.1 - 4.6
• 10/09 Lecture 4: Python Basics - More on functions
  – Reading material: Python tutorial 4.7

Week 2

• 10/12 Lecture 5: Python Basics - Dictionaries, Tuples, Sets, Functional Programming
  – Reading material: Python tutorial 5.2 - 5.5
• 10/14 Lecture 6: Python Basics - Exception Handling
  – Reading material: Python tutorial 6.1, 8.1 - 8.4
• 10/16 Lecture 7: Python Basics - Classes and Objects
  – Reading material: tutorialspoint
  

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

Week 3

• 10/19 Lecture 8: Python Basics - Iterators and Generators
  – Reading material: Python tutorial 9.8 - 9.10

• 10/21 Lecture 9: Python Basics - More built-in functions, Executing Modules as Scripts
  – Python tutorial 5.6
  – Executing Modules as Scripts
  – Built-in Functions
  

• 10/23 Lecture 10: Inheritance
  – Class Inheritance and Overloading Methods
  

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

Week 4

• 10/26 Lecture 11: Input/Output (Console, text files, CSV)
  – Reading and writing files
  – CSV module
  

• 10/28 Lecture 12: Regular Expressions I - Basics, Groups, and Quantifiers
  – Reading material: tutorial
  – Cheat sheet
  – To test your regular expressions: pythex
  

• 10/30 Lecture 13: Regular Expressions II
  

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

Week 5

• 11/02 Lecture 14: Catch up + Haiku

• 11/04 Lecture 15: Visualization: Matplotlib and pyplot
  – Recursion
  – Matplotlib tutorial
  

• 11/06 Midterm exam

Week 6

• 11/09 Lecture 16: NumPy
  – Numpy tutorial – Matplotlib tutorial

• 11/11 Veterans Day: No class

• 11/13 Lecture 17: More on plotting
  – Numpy tutorial
  

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

Week 7

• 11/16 Lecture 18: Grey-scale images and adding noise to an image
  – Matplotlib image tutorial
  

• 11/18 Lecture 19: Uniform Blur, Gaussian Blur, Edge Detection
  – Blurring for Beginners
  

• 11/20 Lecture 20: Edge detection continued.
  

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

Week 8

• 11/23 Lecture 21: GUI Tkinter I: Drawing Lines and Shapes
  – Python GUI Programming
  

• 11/25 Lecture 22: GUI TkInter II - Widgets, Events and Bindings
  

• 11/27 Thanksgiving holiday: No class

Week 9

• 11/30 Lecture 23: Pandas
  – Pandas Tutorial
  – Pandas Basics Cheat Sheet (on CCLE)
  

• 12/02 Lecture 24: Pandas II
  – Pandas Tutorial
  

• 12/04 Lecture 25: NLTK (Natural Language Toolkit) - Concordance, Contexts, Dispersion
  – NLTK book
  

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

Week 10

• 12/07 NLTK continued.

• 12/09 Lecture 27: Lecture 26: Machine Learning: SVM
  – Machine learning: the problem setting
  – Scikit-learn: Support Vector Machines (SVMs)
  

• 12/11 Lecture 28: Final Review

** Homework 7 due Monday by 5pm

Final exam: December 14, 2020