Foundations-of-Scientific-Computing

Course information

General info
- Instructor
- Course website
Installing Python
Learning Objectives
- Git and GitHub
Python Vocabulary

Lesson 1

Lesson Overview
- Learning Goals
Anaconda basics
- The Navigator
- Spyder
A first program
Good coding practices- Hard coding and variables
- Hard Coding
- Variable names
Exercise 1
- Part 1- GitHub
- Part 2- Basic Python

Lesson 2

Lesson Overview
- Learning Goals
Python basics
Working with lists
Good coding practices- Documentation
Exercise 2

Lesson 3

Lesson Overview
- Learning Goals
Python loops
Good coding practices- Version control with git
- Git
Exercise 3

Lesson 4

Lesson Overview
- Learning Goals
Comparison and Boolean Operators
- Boolean values and expressions; comparison operators
- Logical operators
Conditional Statements
Exercise 4

Lesson 5

Lesson Overview
- Learning Goals
Debugging in Python
Math with Latex
- Latex Math Mode in the browser
- Latex syntax
Exercise 5

Lesson 6

Lesson Overview
- Learning Goals
Functions
- Three main concepts
User defined functions
- Functions with multiple arguments
Exercise 6

Lesson 7

Lesson Overview
- Learning Goals
The Matplotlib Library
- Anatomy of a Figure
- Matplotlib docs
The Pyplot submodule
Exercise 7

Lesson 8

Lesson Overview
- Learning Goals
The numpy module
2D Plotting with Pyplot
- Contour Plots
- Surface plots
Exercise 8

Lesson 9

Lesson Overview
- Learning Goals
Other plot types
Other useful stuff when plotting
Exercise 9

Lesson 10

Lesson Overview
- Learning Goals
Intro to Pandas
- Pandas Series
- Pandas DataFrame
Processing Data with Data Frames
- Basic Stats
- Sorting and querying
Exercise 10

Lesson 11

Lesson Overview
- Learning Goals
More pandas basics
Exercise 11

Foundations-of-Scientific-Computing

Exercise 9
Edit on GitHub

Exercise 9

You can access exercise 9 here: https://classroom.github.com/a/pei5vwgK

Previous Next

© Copyright 2019, David Pawlowski.

Built with Sphinx using a theme provided by Read the Docs.