Weekly Schedule

Week 1

Topics	Reading/Reference	Tasks/Labs
Course Overview	Think Python: Chapter 1	Lab 1: git, github.com, and Python
- Introduction	- What is a program?
- Why Python?	- Input, process (sequence, looping, repetition), output
- Natural language & formal language	- complier, interpreter
git and github.com	- Debugging
Python components:	Automate with Python: Chapter 1: Python Basics
- keywords
- symbols
- modules
- objects
Python Shell
- builtin modules
- builtin functions: help(), dir(), type()
- keyword: import

Week 2

Topics	Reading/Reference	Tasks/Labs
Python Basics:	Think Python: Chapter 2	Lab 2: Understanding Python Code
- Objects	- Variable, expressions and statements
- Methods and properties	- Script mode and interactive mode
- Operators	- Python math operators and order of operations
- expressions	- String operation '+' and '*'
- statements	Automate with Python: Chapter 2: Flow Control

Week 3

Topics	Reading/Reference	Tasks/Labs
Reusing Python Code:	Think Python: Chapter 3 Functions	Lab 3: Reusing Python Code
Functions	- Function calls
- keyword: def	- Adding new functions
- function parameters	- Definitions and uses
- return value	- Flow of execution
- keyword: None	- Parameters and arguments
	- Variables and parameters
	- Fruitful functions and void functions
	Automate with Python: Chapter 3 & 4: Functions, Lists

Week 4

Topics	Reading/Reference	Tasks/Labs
Basic Data Structures and String Manipulation:	Think Python: Chapter 5 Conditionals and recursion	Lab 4: Basic Data Structure & String Manipulation
- Integers	- Boolean expression
- Strings	- Logical operators
- Tuples	- Conditional execution
- Lists	- Alternative execution
- Dictionaries	- Chained conditionals
- Sets	- Nested conditionals
	- Recursion
	- Infinite recursion
	- Keyboard Input
	Automate with Python: Chapter 5 & 6: Dictionaries and structuring data, Manipulating Strings

Week 5

Topics	Reading/Reference	Tasks/Labs
Files, Exceptions:	Think Python: Chapter 14 - Files	Lab 5: Files & Error Handling
- File Handling	- Reading and writing
- Error Handling	- Format operator
- Builtin error types	- Filenames and paths
	- Catching exception
	- Databases
	- Picking
	- Pipes
	- Writing modules
	Automate with Python: Chapter 9 & 10: Reading and Writing Files, Organizing Files

Week 6

Topics	Reading/Reference	Tasks/Labs
Review and Catch-up

Week 7

Topics	Reading/Reference	Tasks/Labs
Mid-Term Test		Assignment 1
- Topics: Lab 1 to Lab 5 and All topics covered from week 1 to week 5

Study Week

Topics	Reading/Reference	Tasks/Labs

Week 8

Topics	Reading/Reference	Tasks/Labs
Classes:	Think Python: Chapter 15 - Classes and objects	Lab 6: Writing Python Classes
- Components of a class	- Programmer-defined types
- Classes and objects	- Attributes
	- Instances and return values
	- Objects are mutable
	- Copying
	Automate with Python: Chapter 16 - Classes and functions
	- Pure functions
	- Modifiers
	- Prototyping versus planning

Week 9

Topics	Reading/Reference	Tasks/Labs
Classes:	Think Python: Chapter 17 - Classes and methods	Lab 7: Classes, Objects & scope
- Designing classes	- The __init__ method
- Understanding scope	- The __str__ method
	- The __repr__ method
	- Operator overloading
	- Type-based dispatch
	- Polymorphism

Week 10

Topics	Reading/Reference	Tasks/Labs
Configuration management:		Lab 8: Configuration management
- Ansible

Week 11

Topics	Reading/Reference	Tasks/Labs
Complete Assignment 2		Assignment 2

Week 12

Topics	Reading/Reference	Tasks/Labs
Final Assessment Review

Week 13

Topics	Reading/Reference	Tasks/Labs
Final Assessment