Beyond the Basics: Exploring Advanced Python Concepts
Target Audience:
This course is intended for individuals with a basic understanding of python programming concepts who are interested in exploring the world of Machine Learning. Students with programming experience will benefit most from the hands-on projects, but it's not mandatory.
Course Duration:
The duration can be adjusted based on the desired depth and coverage, ranging from 8 Hours to 10 Hours.
Module 1: Introduction to Python
Installing Python and setting up a development environment
Basic syntax and structure of Python code
Variables, data types, and operators
Input and output operations
Comments and documentation
Module 2: Control Flow
Conditional statements (if, else, elif)
Loops (for, while)
Nested control flow structures
Breaking and continuing loops
Module 3: Functions
Defining and calling functions
Arguments and parameters
Return values
Scope of variables (global vs. local)
Module 4: Data Structures
Lists: creating, accessing, modifying, and iterating
Tuples: immutable lists
Dictionaries: key-value pairs
Sets: collections of unique elements
Module 5: Strings
String manipulation methods (indexing, slicing, concatenation, splitting, formatting)
String formatting techniques
Module 6: File I/O
Reading and writing text files
Working with different file formats (CSV, JSON)
Module 7: Modules and Packages
Importing modules and using their functions
Creating and using your own modules
Exploring popular Python libraries
Module 8: Object-Oriented Programming (OOP)
Introduction to OOP concepts (classes, objects, methods, inheritance)
Defining classes and creating objects
Inheritance and polymorphism
Module 9: Exception Handling
Handling errors and exceptions
Using try-except blocks
Raising custom exceptions
Module 10: Project
Hands-on project to apply learned concepts
Building a simple Python application
