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Prerequisites

• A computer/laptop. (Linux/Mac preferred, but I will allow Windows)
• Anaconda for Python 3.6
• Refer to email in regards to prior software/programming knowledge.

Lecture 1 (October 17) - Introduction to Python

• About this class
• Python History
• Python 2/3
• 4 ways to Python
  • as a script,
  • the python shell,
  • the ipython shell,
  • a jupyter notebook.
• Python as a Calculator

Homework 1: Link - Due October 24

October 24 - No Class

Lecture 2 (October 31) - Introduction to Python Continued

• Python as a Calculator (continued)
• Data Types
• Commenting
• Variables
• Strings
  • Slicing
  • User-Input
  • Formatting
  • Unicode
  • Changing Strings (Mutable/Immutable Types)

Lecture 3 (November 7) - Data Structures

• Data Structures: Lists
  • List Basics
  • List Operations
  • n-Dimensional Lists
• The import Statement
• PEP 8 (coding style)
• matplotlib - A Simple Example

Homework 2: Link - Due November 14
Homework 2 (Answers): Link

November 14 - No Class

Lecture 4 (November 21) - Last of the Basics

• Data Structures: Sequences
• Loops
  • for Loop
  • while Loop
• List Comprehensions
• Data Structures: Dictionaries
• Conditionals
  • if Statement
  • elif Statement
  • else Statement

Lecture 5 (November 28) - Functional Programming

• Structure
• Arguments

Homework 3: Link - Due December 5

Lecture 6 (December 5) - Object-Oriented Programming

• The object
• The class constructor
• Instances
• Attributes
• Methods
• Inheritance
• Overloading

Lecture 7 (December 19) - Package Development & Misc