Introductions

1. Course Objectives and overview of what teams will be building

2. Course Logistics

3. Getting Course Demos & Solutions using Git

Overview of Python

1. What is Python?

2. Where Python is used: machine learning, web, scripting

3. Python history

4. Python 2 versus 3

Setting up environment and leveraging tools

1. Development environment Setup

2. Installing python on different Operating Systems (OS)

3. Using the Python Interpreter

4. Scripting versus interactive mode

5. Jupyter Notebook

6. Python editors and IDEs

7. Using VSCode for python

8. Getting help with pydoc

Python basics in Interactive mode and simple scripts

1. Interactive mode versus scripts

2. Creating variables and working with built-in types

3. Naming conventions & keywords

4. Representing Strings and working with operators & methods

5. Numeric types and math operations

6. Converting types

7. Using print() to display to the screen

8. Executing scripts

9. Script comments

Conditional Programming & Flow control

1. Using indentations for defining blocks

2. When to use if, elif and else

3. Boolean operators

4. Relational operators

5. Creating and controlling loops

Debugging in Python

1. What is debugging and why do we use it?

2. Using the pdb Module

3. Tracing

4. Stepping Through Code

5. Seeing Where You Are with l

6. Printing Variables

7. Finding a Bug

8. Working interactively

Leveraging Functions

1. Defining functions

2. Attribute references and instantiation

3. Default arguments

4. Keyword arguments

5. Arbitrary argument lists

6. Using argument lists

7. Documentation Strings

8. Function annotations

9. Recursion

Data Structures and their practical applications

1. Immutable/Mutable types

2. Sequence Types - list, tuple, range

3. Storing and selecting multiple values in Lists

4. Working with immutable Tuples

5. Optimizing loops using range()

6. Storing and working with unique values in Sets

7. Mapping with Dictionaries

Errors and Exceptions

1. Syntax Errors

2. Runtime Errors

3. Exceptions

4. Built-in Exceptions

5. Handling Exceptions: try & except

6. Handling Exceptions: finally

7. Raising Exceptions

8. Ignoring Exceptions

9. User-defined Exceptions

10. Clean-up Actions

Defining reusable Modules

1. Module definition basics

2. Import Modules

3. Reload Modules

4. Python Standard Library

5. Using packages to structure module namespace

6. Installing 3rd party packages with PIP

Input and Output

1. Using the built-in sys module

2. Getting input from the command line

3. Getting input from the keyboard

4. Reading and Writing Files with File Objects

Classes & Object-Oriented Programming (OOP)

1. What is OOP?

2. Python Classes and creating objects

3. Scope and Namespaces

4. Defining instance and class attributes

5. Method Objects

6. Inheritance and Polymorphism

7. Multiple Inheritance in Python

8. Overloading operators

Exploring the Standard Library modules

1. The os module

2. Logging

3. Math module

4. 're' Regular Expression tools

5. Dates and Times

6. Timeit

7. Email package

8. Json package

9. Multi-threading

10. Data Compression and Archiving

Functional Programming

1. Lambda Functions

2. Recursion

3. List Comprehensions

4. Iterators, Generators, Yield

5. Map, reduce, filter

Unit Testing Options

1. What is a Unit Test?

2. The unittest framework, nose, and PyTest

3. Asserting

4. Creating Unit Tests

5. Organizing Test Code

6. Discovering Unit Tests

7. Running Unit Tests

8. Skipping Tests

Examples of python usage

1. Scripting

2. Raspberry Pi

3. Web, Django and Flask

4. Machine Learning