Statistical Analysis Using Python

1   Lectures

1. Lecture 1: Introduction to programming
   1. Programming pre-assessment
   2. Homework 1: Pre-assessment grading
2. How to set up Python
   1. Homework 2: Show me your JupyterLab
3. Lecture 2: Literals, variables, and constants in Python
   1. Exercise 1: Literals and variables
4. Lecture 3: Numeral systems in Python
   1. Homework 3: Conversions between numeral systems
5. Lecture 4: Basic data types in Python
   1. Exercise 2: Read two integers
   2. Exercise 3: User input and type casting
   3. Exercise 4: Geospatial computation
   4. Exercise 5: Understand input()
   5. Exercise 6: Why type casting?
6. Lecture 5: Sequence data types in Python
   1. Exercise 7: List and indexing
7. Lecture 6: Control statements in Python
   1. Exercise 8: Branch
   2. Exercise 9: Debug branching
   3. Exercise 10: Print the range of an integer using if
   4. Exercise 11: Print the range of an integer using if, elif, and else
   5. Homework 4: Toxicode Python certificate of completion
   6. Exercise 12: for and list
   7. Exercise 13: for and forward indexing
   8. Exercise 14: for and reverse indexing
   9. Exercise 15: Summation using a for loop
   10. Exercise 16: Summation using a while loop
   11. Homework 5: Random integers
8. Lecture 7: Functions in Python
   1. Exercise 17: Define your first function
   2. Exercise 18: Non-returning function
   3. Exercise 19: Add function
   4. Exercise 20: Why functions?
9. Class project 1: Rock-paper-scissors game in Python
   1. Homework 6: Debug the rock-paper-scissors game
10. Class project 2: Statistical calculation of USGS discharge data in Python
11. Class project 3: CSV file parsing and averaging in Python
12. Project proposals
13. Quiz 1
14. Class project 4: K-nearest neighbors algorithm in Python
15. Quiz Quiz 1 makeup
16. Class project 5: Histogram counting in Python
    1. Homework 7: Debug the counting algorithm
17. Quiz 2
18. Class project 6: Linear regression using scikit-learn
19. Class project 7: Data filling using neighbor statistics in Python
20. Class project 8: Supervised classification using scikit-learn KNN
21. Class project 9: Univariate linear regression in Python
22. Quiz 3: Numerical methods in Python

2   References