Python

This comprehensive course is designed to teach you Python programming from the ground up, covering essential concepts and advanced topics. Whether you’re a complete beginner or looking to enhance your Python skills, this course will provide you with the knowledge and practical experience needed to become proficient in Python programming. Each section offers clear explanations, engaging examples, and hands-on exercises to reinforce learning and prepare you for real-world Python applications.:

Learning Objectives
In this course, you will learn:

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Course Modules

MODULE 1
    Introduction to Python

• Lesson 1: Overview of Python
• Lesson 2: Setting up Python environment (interpreter, IDEs)
• Lesson 3: Basic syntax and data types (numbers, strings, lists, tuples, dictionaries)
• Lesson 4: Writing and executing Python script
• Lesson 5: Basic input/output operations

MODULE 2
    Control Flow and Functions

• Lesson 1: Conditional statements (if, elif, else)
• Lesson 2: Loops (for, while)
• Lesson 3: Functions (defining functions, parameters, return values)
• Lesson 4: Scope of variables

MODULE 3
    Data Structures

• Lesson 1: Lists (methods, slicing)
• Lesson 2: Tuples
• Lesson 3: Dictionaries (methods, key-value pairs)
• Lesson 4: Sets
• Lesson5 : List comprehensions

MODULE 4
    File Handling

• Lesson 1: Opening, reading, and writing to files
• Lesson 2: Working with different file formats (text files, CSV, JSON)

MODULE 5
    Object-Oriented Programming (OOP)

• Lesson 1: Classes and objects
• Lesson 2: Inheritance
• Lesson 3: Encapsulation
• Lesson 4: Polymorphism

MODULE 6
    Error Handling

• Lesson 1: Exception handling (try, except, finally)
• Lesson 2: Custom exceptions

MODULE 7
    Advanced Topics

• Lesson 1: Decorators
• Lesson 2: Generators
• Lesson 3: Iterators
• Lesson 4: Lambda functions
• Lesson 5: Regular expressions

MODULE 8
    Libraries and Modules

• Lesson 1: Overview of standard libraries (os, sys, math, etc.)
• Lesson 2: Installing and importing third-party libraries (pip)
• Lesson 3: Popular libraries for specific tasks (NumPy, Pandas, Matplotlib)

MODULE 9
    Web Development with Python

• Lesson 1: Introduction to web development frameworks (Django, Flask)
• Lesson 2: Creating web applications
• Lesson 3: Handling HTTP requests and responses

MODULE 10
    Data Science and Machine Learning with Python

• Lesson 1: Introduction to data science libraries (NumPy, Pandas)
• Lesson 2: Data visualization (Matplotlib, Seaborn)
• Lesson 3: Introduction to machine learning libraries (Scikit-learn)
• Lesson 4: Building simple machine learning models
• Conclusion
• Project
• Assessment