Overview

This Python course is designed to provide a comprehensive introduction to Python programming, covering everything from basic syntax to more advanced concepts. Whether you are a complete beginner or an experienced programmer looking to learn Python, this course will equip you with the skills to develop Python applications, analyze data, and solve real-world problems. The course emphasizes practical coding skills, best practices, and Python’s extensive capabilities.

Levels: Essentials Intermediate Advanced

Course Outline

Introduction to Python

  • Introduction to the course
  • Setting up the environment (Python installation, IDE setup)
  • Writing and executing the first Python script

Python Basics

  • Syntax and indentation
  • Variables and data types
  • Basic operators (arithmetic, comparison, logical)
  • Input and output functions
  • Comments and documentation

Control Structures

  • Conditional Statements
  • if, else
  • elif statements
  • Nested conditionals
  • Conditional expressions
  • Ternary operators

Python Loops

  • while loop
  • for loop
  • Nested loops
  • Loop control statements (break, continue, pass)

Data Structures

  • Strings
  • String operations
  • String methods
  • String formatting

Python List

  • List operations
  • List methods
  • List comprehensions
  • Nested lists

Python Tuples

  • Tuple operations
  • Tuple methods
  • Use cases for tuples

Python Dictionaries

  • Dictionary operations
  • Dictionary methods
  • Nested dictionaries
  • Use cases for dictionaries

Python Sets

  • Set operations
  • Set methods
  • Use cases for sets

Python Functions

  • Defining Functions
  • Function definition and invocation
  • Function arguments (positional, keyword, default, variable-length)
  • Return values

Lambda Functions

  • Syntax and use cases
  • Comparison with regular functions

Scope and Lifetime

  • Local and global scope
  • global and nonlocal keywords

Modules and Packages

  • Importing modules
  • Standard library modules
  • Creating and using custom modules

Creating Packages

  • Importing from packages
  • init.py and its role

File Handling

  • File Operations
  • Reading and writing files
  • Working with file modes
  • File methods
  • Exception handling in file operations

Error and Exception Handling

  • Exceptions
  • Understanding exceptions
  • try, except, else, and finally blocks
  • Raising exceptions
  • Custom exceptions

Object Oriented Programming (OOP)

  • Classes and Objects
  • Defining classes
  • Creating objects
  • init method
  • self parameter

Class Attributes and Methods

  • Instance vs. class attributes
  • Instance vs. class methods
  • Static methods

Python Inheritance

  • Single and multiple inheritance
  • Method overriding
  • super() function

Polymorphism and Encapsulation

  • Polymorphism principles
  • Encapsulation and data hiding

Advanced Topics

  • Iterators and Generators
  • Understanding iterators
  • Creating and using generators
  • yield keyword

Python Decorators

  • Function decorators
  • Class decorators
  • Use cases for decorators

Context Managers

  • Understanding context managers
  • with statement
  • Creating custom context managers

Regular Expressions

  • Introduction to regular expressions
  • Using the re module
  • Common regex patterns
  • Use cases

Working with Libraries

  • Popular Python Libraries
  • NumPy for numerical computing
  • Pandas for data manipulation
  • Matplotlib
  • Seaborn for data visualization
  • Requests for HTTP requests

Project Development

  • Project Planning
  • Choosing a project
  • Project requirements and scope

Project Implementation

  • Writing code
  • Testing and debugging

Project Presentation

  • Documenting the project
  • Presenting the project

Conclusion

  • Course Review
  • Summary of topics covered
  • Best practices in Python programming
  • Further learning resources

Get the course outline PDF