Innovative IT Solutions for Your Business

1. Introduction to Python:

• What is Python?
• History and Applications of Python
• Setting up your development environment (installing Python, IDEs)

2. Python Fundamentals:

• Basic Syntax (variables, data types - integers, floats, strings, booleans, operators, expressions)
• Input and Output operations (using print function, taking user input)
• Control Flow (using if, else, elif statements for conditional execution, for and while loops for iteration)

3. Functions and Modules:

• Defining and calling functions
• Using arguments, parameters, and return values
• Understanding scope and variable lifetimes
• Importing and using modules (built-in and external)
• Recursive Fumction Call

4. Data Structures and Collections:

• Lists:  This section will delve deeper into lists, covering creation, accessing elements using indexing and slicing, modifying lists (adding, removing, modifying elements), common operations like sorting, searching, and iteration.
• Tuples:  Learn about tuples, which are immutable ordered sequences similar to lists but cannot be modified after creation.
• Sets:  Explore sets, unordered collections of unique elements. You'll learn about adding, removing elements, set operations (union, intersection, difference), and checking for membership.
• Dictionaries:  Dictionaries are key-value pairs used to store data. This section will cover creating dictionaries, accessing and modifying values using keys, iterating through keys and values, and common dictionary methods.

5. Object-Oriented Programming (OOP) :

• Classes and Objects
• Defining attributes and methods
• Inheritance and polymorphism

6. Features :

• Generators and Iterators:  Explore powerful concepts like generators and iterators for memory-efficient iteration over large data sets.
• Decorators:  Decorators are a metaprogramming feature that allows you to modify the behavior of functions without directly changing their code.
• Lambda Functions:  Python supports anonymous functions (lambda functions) for concise one-liner expressions.

 7. Data Structure and Agorithm ( DSA ) :

• Binary Tree
• Linked List 
• Sorting Algorithms
• Searching Algorithms 

 8. Additional Topics :

• Error handling (exceptions)
• Working with databases
• File handling (reading from and writing to files)
• Regular expressions (for text processing)
• Web scraping (extracting data from websites)
• Working with databases using Python libraries