Python

Course Title: Complete Python Course for Beginners

Module 1: Introduction to Python

  • Lesson 1: What is Python?
    • Definition and purpose of Python
    • History and evolution of Python
    • Overview of Python applications (web development, data science, automation, etc.)
  • Lesson 2: Setting Up the Environment
    • Installing Python (Anaconda vs. standard distribution)
    • Choosing an Integrated Development Environment (IDE) (e.g., PyCharm, VS Code, Jupyter Notebook)
    • Writing your first Python program: “Hello, World!”

Module 2: Python Basics

  • Lesson 1: Python Syntax and Structure
    • Understanding indentation and code blocks
    • Comments in Python (single-line and multi-line)
  • Lesson 2: Variables and Data Types
    • Declaring variables and assigning values
    • Overview of data types: integers, floats, strings, booleans
    • Type conversion and type checking

Module 3: Control Structures

  • Lesson 1: Conditional Statements
    • Using if, elif, and else statements
    • Nesting conditional statements
  • Lesson 2: Loops
    • Understanding for loops and while loops
    • Using break and continue statements
    • List comprehensions

Module 4: Functions

  • Lesson 1: Defining Functions
    • Creating and calling functions
    • Function parameters and return values
  • Lesson 2: Scope and Lifetime
    • Understanding local vs. global variables
    • Using global keyword
  • Lesson 3: Lambda Functions
    • Introduction to anonymous functions
    • When to use lambda functions

Module 5: Data Structures

  • Lesson 1: Lists
    • Creating and manipulating lists
    • List methods and operations
  • Lesson 2: Tuples
    • Understanding tuples and their properties
    • When to use tuples
  • Lesson 3: Dictionaries
    • Creating and accessing dictionaries
    • Dictionary methods and operations
  • Lesson 4: Sets
    • Understanding sets and their properties
    • Set operations (union, intersection, difference)

Module 6: Modules and Packages

  • Lesson 1: Importing Modules
    • Using built-in modules and libraries
    • Creating your own modules
  • Lesson 2: Working with Packages
    • Understanding packages and how to use them
    • Installing third-party packages with pip

Module 7: File Handling

  • Lesson 1: Reading and Writing Files
    • Opening and closing files
    • Reading from and writing to text files
  • Lesson 2: Working with CSV Files
    • Using the csv module to read and write CSV files
    • Practical examples with CSV data

Module 8: Error Handling

  • Lesson 1: Understanding Exceptions
    • What are exceptions and how they work
    • Common Python exceptions
  • Lesson 2: Try and Except Blocks
    • Using try, except, finally, and else statements
    • Raising exceptions

Module 9: Object-Oriented Programming (OOP)

  • Lesson 1: Introduction to OOP
    • Understanding classes and objects
    • Defining classes and creating objects
  • Lesson 2: Class Attributes and Methods
    • Understanding instance and class attributes
    • Defining methods and using self
  • Lesson 3: Inheritance and Polymorphism
    • Understanding inheritance and its benefits
    • Method overriding and polymorphism

Module 10: Working with Libraries

  • Lesson 1: Introduction to NumPy
    • Understanding arrays and their advantages
    • Basic operations with NumPy arrays
  • Lesson 2: Introduction to Pandas
    • Working with DataFrames
    • Basic data manipulation and analysis
  • Lesson 3: Introduction to Matplotlib
    • Creating basic plots and visualizations
    • Customizing plots and visualizations

Module 11: Project Development

  • Lesson 1: Planning Your Project
    • Project ideas for practice (e.g., a simple calculator, data analysis project)
    • Structuring your project files and assets
  • Lesson 2: Hands-On Project
    • Building a complete application using Python
    • Implementing key concepts learned in the course

Module 12: Review and Next Steps

  • Lesson 1: Course Recap
    • Reviewing key concepts learned throughout the course
    • Discussing common challenges and troubleshooting tips
  • Lesson 2: Further Learning Resources
    • Suggested books, websites, and tutorials for continued learning
    • Introduction to advanced topics (e.g., web frameworks like Flask/Django)