PIC 16 Python with Applications
You can download the course information here.
Student projects from past courses:
- Winter 2018
- Spring 2018
- Fall 2018
Winter 2019 Tentative Course Schedule
Week 1
- 01/07 Lecture 1: Course Overview
– Follow instruction in GettingStarted.pdf on CCLE
– Reading material: Python tutorial 1 and 2.1.2 - 01/09 Lecture 2: Python Basics - Basic Data Types, commenting, list, dictionary, functions, modules
– Reading material: Python tutorial 3.1.1, 3.1.2, 3.1.4, 5.1, 5.5 - 01/11 Lecture 3: Python Basics - Control Flow, Functions
– Reading material: Python tutorial 4.1 - 4.7
Week 2
- 01/14 Lecture 4: Python Basics - Data Structures
– Reading material: Python tutorial 5.2 - 5.5 - 01/16 Lecture 5: Python Basics - Functional Programming
– Reading material: Python tutorial 6.1, 8.1 - 8.4, 5.7 - 01/18 Lecture 6: Python Basics - Classes and Objects, Magic Methods
– Reading material: tutorialspoint
** Homework 1 due Friday by 5pm
Week 3
- 01/21 Luther King, Jr. Holiday (No Class)
- 01/23 Lecture 7: Classes and Objects, Magic Methods ctd
- 01/25 Lecture 8: Regular Expressions I
– Reading material: tutorial
– Cheat sheet
– To test your regular expressions: pythex
** Homework 2 due Friday by 5pm
Week 4
- 01/28 Lecture 9: Regular Expressions II
- 01/30 Lecture 10: Visualization I: Turtle, Matplotlib and pyplot
– Recursion
– Matplotlib tutorial - 02/01 Lecture 11: Visualization II: Numpy
– Numpy tutorial
** Homework 3 due Friday by 5pm
Week 5
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02/04 Lecture 12: Visualization III: Pandas, Matplotlib and Numpy
– Pandas Tutorial
– Pandas Basics Cheat Sheet (on CCLE) - 02/06 Lecture 13: GUI I: Tkinter
– An Introduction To Tkinter - 02/08 Lecture 14: GUI II: Tkinter bouncing ball example
Week 6
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02/11 Lecture 15: GUI III: Inheritance
– Executing Modules as Scripts
– Class Inheritance and Overloading Methods -
02/13 Lecture 16: Page-Rank algorithm
– https://networkx.github.io/documentation/stable/tutorial.html#creating-a-graph
– Read from “Creating a graph” to “Directed graphs”
– https://en.wikipedia.org/wiki/PageRank
– (Optional)https://www.geeksforgeeks.org/page-rank-algorithm-implementation -
02/15 Lecture 17: Image Processing I: Grey-scale images and adding noise to an image
– Matplotlib image tutorial
** Homework 4 due Monday by 5pm
Week 7
-
02/18 President’s Day Holiday (No Class)
-
02/20 Lecture 18: Image Processing II: masks
– Blurring for Beginners -
02/22 Lecture 19: Image Processing II (ctd): Uniform blur, Gaussian blur, edge detection
– Blurring for Beginners
** Homework 5 due Monday by 5pm
Week 8
-
02/25 Lecture 20: Symbolic Math I
– Sympy Tutorial -
02/27 Lecture 21: Symbolic Math II, Scipy
– Sympy Tutorial
- 03/01 Lecture 22: Scrapy
– W3 Schools HTML Intro
– W3 Schools XML Intro
– “What is the DOM” in W3 Schools XML DOM Intro
– XML DOM Nodes
– Scrapy Tutorial
** Homework 6 due Wednesday by 5pm
Week 9
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03/04 Lecture 23: Scrapy ctd
-
03/06 Lecture 24: NLTK
– Read the introduction to Chapter 1 of the NLTK Book.
– Follow 1.2, 1.3, 1.4
– Follow Chapter 1, section 3 (all)
– Skim Chapter 1, section 5. This will give you a good overview of the issues in natural language
– Skim Chapter 3 for processing raw text processing.
- 03/08 Lecture 25: Machine Learning I: SVM
– Machine learning: the problem setting
– Scikit-learn: Support Vector Machines (SVMs)
** Homework 7 due Wednesday by 5pm
Week 10
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03/11 Lecture 26: Machine Learning II: NMF
– Scikit-learn: Non-negative Matrix Factorization - 03/13 Lecture 27: Socket (Networking)
– The first half (16.5 minutes) of Python Advanced Tutorial 6 – Networking
– Socket module documentation
– Python Network Programming
– (Optional) How does ping work? - 03/15 Lecture 28: Review
** Homework 8 due Friday by 5pm