Course Content
Introduction to Programming and Python
Overview of Python History and evolution Python’s features and benefits Set-Up Development Environment Installing Python and IDE (e.g., PyCharm, VS Code) Writing and running your first Python program Hands-On Activity Write a simple Python program to display “Hello, World!”
0/3
Overview of Programming and Python
Set-Up Development Environment
Hands-On Activity
Structure Of A Python Program
A comprehensive overview of the structure of a Python program, covering essential concepts efficiently.
0/1
Structure of a Python Program
Basic Syntax and Control Statements
Basic Syntax Structure of a Python program Data types, variables, and operators
0/3
Basic Syntax
Control Statements
Hands-On Activity
Functions and Modules
0/3
Functions
Modules
Hands-On Activity
Data Structures
0/4
Lists
Tuples and Sets
Dictionaries
Hands-On Activity
Strings and File I/O
0/3
Strings
File I/O
Hands-On Activity
Object-Oriented Programming (OOP)
0/3
Classes and Objects
Inheritance
Hands-On Activity
Exception Handling
0/4
Types of Exceptions
Try | Except | Finally
Raising Exceptions
Hands-On Activity
Libraries and Frameworks
0/3
Standard Libraries
Third-Party Libraries
Hands-On Activity
Web Scraping and APIs
0/3
Web Scraping
APIs
Hands-On Activity
Final Project and Advanced Topics
0/3
Introduction to multithreading
Basics of GUI Programming with Tkinter
Final Project
Python Programming For Beginners
About Lesson

Overview of Python

History & Evolution

  • Created by Guido van Rossum in the late 1980s and first released in 1991.
  • Named after the British comedy series “Monty Python’s Flying Circus.”
  • Python 2.0 was released in 2000, introducing new features like list comprehensions and garbage collection.
  • Python 3.0 was released in 2008, with improvements and changes that are not backward compatible with Python 2.x.

Python’s Features and Benefits

  • Easy to Learn and Use: Python has a simple syntax that mimics natural language, making it accessible for beginners.
  • Versatile: Used for web development, data analysis, artificial intelligence, scientific computing, and more.
  • Extensive Libraries and Frameworks: Rich ecosystem with libraries like NumPy, Pandas, and frameworks like Django and Flask.
  • Community Support: Large and active community providing extensive documentation, tutorials, and support.
  • Cross-Platform: Runs on various operating systems like Windows, macOS, and Linux.
Previous
Next