Python Course Content

Module 1: Introduction

1. Introduction to Python
2. Installing Python
3. Python IDEs
4. Writing First Python Program
5. Comments & Indentation

Module 2: Variables & Data Types

1. Variables
2. Input & Output
3. Data Types
4. Type Casting
5. Operators

Module 3: Control Statements

1. if
2. if-else
3. Nested if
4. elif Ladder
5. Match Case

Module 4: Loops

1. while Loop
2. for Loop
3. range()
4. Nested Loops
5. break
6. continue
7. pass
8. for-else
9. while-else

Module 5: Strings

1. String Basics
2. Indexing
3. Slicing
4. String Methods
5. String Formatting

Module 7: Functions

1. User Defined Functions
2. Arguments
3. Return Statement
4. Default Arguments
5. Keyword Arguments
6. Variable Length Arguments
7. Recursive Functions
8. Lambda Functions

Module 8: Debugging

1. What Is Debugging?
2. How to Debug a Python Program
3. Difference Between F7 and F8 in Debugging

Module 9: Arrays

1. How to Import the array Module
2. How to Create an Array
3. Typecodes
4. How to Create a Dynamic Array
5. Using Built-in Functions with Arrays

Module 1: NumPy

1. How to Install NumPy and Verify the Installation
2. Different Ways to Create Arrays Using NumPy
3. NumPy Built-in Functions
4. How to Create a Multidimensional (2D) Array Using NumPy
5. How to Convert a 2D Array into a One-Dimensional Array
6. How to Convert a One-Dimensional Array into a 2D Array
7. How to Add Two Arrays
8. How to Concatenate Two Arrays
9. Aliasing in NumPy
10. Matrices in NumPy

Module 2: OOPs

1. Class
2. Object
3. Constructor
4. Instance Variables
5. Class Variables
6. Instance Methods
7. Class Methods
8. Static Methods
9. Inheritance
10. Single Inheritance
11. Multilevel Inheritance
12. Multiple Inheritance
13. Access modifiers in Python
14. Polymorphism
15. Method Overloading
16. Method Overriding
17. Operator Overloading
18. Duck Typing in Python
19. Abstraction
20. Nested Class

Module 3: Advanced OOPs

1. Constructors in inheritance
2. MRO
3. super()

Module 4: Memory Management

1. Shallow Copy
2. Deep Copy

Module 5: Pandas

1. Excel Automation
2. Built-in Functions in Pandas: Series and DataFrame

Module 6: Decorators

1. How to Decorate User-Defined Functions Using Decorators
2. Inner Function (Wrapper Function)

Module 7: Regular Expressions

1. How to Validate a String Using Regular Expressions

Module 8: Iterators & Generators

1. Difference Between return and yield
2. Fetching Data from an Iterator Using the __next__() Method Without Using a Loop

Module 9: Multithreading

1. How to Run Multiple Methods in Parallel Using Threads from Multiple Classes

Module 10: Collections Module

1. Counter
2. deque (Double-Ended Queue)
3. namedtuple
4. ChainMap
5. OrderedDict (Ordered Dictionary)
6. defaultdict (Default Dictionary)

Module 11: Database Programming

1. MySQL Connectivity (PyMySQL)

Module 12: Mini Projects

1. Dice Game
2. Number Guessing Game
3. Password Strength Verification

Module 13: Collections

1. List
2. Tuple
3. Set
4. Dictionary
5. List Methods
6. Tuple Methods
7. Set Methods
8. Dictionary Methods

Module 14: Modules & Packages

1. Creating Modules
2. Import Statement
3. from...import
4. Packages
5. __name__ Variable

Module 15: File Handling

1. Read Files
2. Write Files
3. Append Files

Module 16: Exception Handling

1. try
2. except
3. else
4. finally

Module 17: Date & Time

1. datetime Module
2. time Module