Python Programming

Python Programming Course Outline

Lecture 1: Python Overview

• History of Python
• Interpreter vs. Compiler
• Python Identifiers & Reserved Words
• Lines and Indentation
• Multi-Line Statements
• Quotation & Comments

Lecture 2: Variable Types

• Python Variables
• Python Numbers
• Python Strings
• Python Lists
• Python Tuples
• Python Dictionary
• Python Set
• Data Type Conversion

Lecture 3: Basic Operations

• Arithmetic Operators
• Comparison Operators
• Bitwise Operators
• Assignment Operators
• Logical Operators
• Membership Operators
• Identity Operators
• Operators Precedence

Lecture 4: Conditions

• Decision making Definition
• IF Statement
• IF and ELSE Statements
• IF, ELIF and ELSE Statements
• Nested IF Statements
• Single Statement Suites

Lecture 5: Loops

• Loop Definition
• While Loop Statements
• Else with While Loop
• For Loop Statements
• Else with For Loop
• Nested Loops
• Loop Control Statements

Lecture 6: Functions

• Function Definition
• Calling a Function
• Return Statement
• Passing by Reference & Value
• Function Arguments
• Anonymous Function
• Inner Functions
• Global & Local Variables

Lecture 7: Strings

• Introduction to String
• Basic String Operations
• String Special Operators
• String Formatting Operator
• Built-in String Functions

Lecture 8: Lists

• Introduction to List
• Basic List Operations
• List Comprehension
• Multi-dimensional Lists
• Built-in List Functions

Lecture 9: Tuples

• Introduction to Tuple
• Basic Tuple Operations
• Tuple Comprehension
• Multi-dimensional Tuple
• Built-in Tuple Functions

Lecture 10: Dictionaries

• Introduction to Dictionary
• Basic Dictionary Operations
• Dictionary Comprehension
• Properties of Dictionary keys
• Built-in Dictionary Functions

Lecture 11: Sets

• Introduction to Set
• Basic Set Operations
• Set Comprehension
• Set Relations
• Built-in Set Functions

Lecture 12: Numbers

• Numbers in Python
• Math Module
• Fractions Module
• Random Module
• Itertools  Module

Lecture 13: Object Oriented Overview

• Introduction to OOP
• Classes & Objects
• Attributes
• Methods
• Constructors
• Destructors

Lecture 14: Data Encapsulation

• Setters & Getters
• Static Variables
• Static Methods
• Private Variables
• Private Methods
• Built-In Class Attributes

Lecture 15: Operator Overloading & Function Overloading

• Operator Overloading
• Input/Output Operators Overloading
• Arithmetic Operators Overloading
• Binary Operators Overloading
• Assignment Operators Overloading
• Function Overloading

Lecture 16: Inheritance & Function Overriding

• Inheritance
• Access Modifiers
• Function Overriding
• Multiple Inheritance
• Composition Relationship
• Aggregation Relationship
  

Lecture 17: Modules & Standard Libraries

• Modules in Python
• Counter Module
• DefaultDict Module
• DateTime Module
• Timedelta Module
• Calendar Module

Lecture 18: Polymorphism & Abstract Class

• Abstract Class
• Abstract Method
• Abstract Properties
• Polymorphism

Lecture 19: File Handling

• Text files
• CSV files
• Json files
• XML files
• YAML files
• INI files

Lecture 20: Exception Handling

• Introduction to Exception Handling
• Types of Exceptions in Python
• The except Clause with No Exceptions
• The except Clause with Multiple Exceptions
• The try/except, else, and finally
• Assertions in Python

Python Programming Course Objectives

• You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions.
• You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input.
• You’ll read data from a file, and write out CSV files.
• This course introduces classes, instances, and inheritance.
• You will learn how to use classes to represent data in concise and natural ways.
• You’ll also learn how to override built-in methods and how to create “inherited” classes that reuse functionality.
• You’ll also learn about how to design classes.
• Finally, you will be introduced to the good programming habit of writing automated tests for their own code.