Courses Details

Python is a versatile, high-level programming language known for its simplicity and readability. Its clean syntax and dynamic typing make it easy to learn and use, appealing to both beginners and experienced developers. Python supports multiple programming paradigms and comes with a comprehensive standard library, facilitating rapid development across various domains. With a large and active community contributing to its ecosystem of libraries and frameworks, Python is widely adopted for web development, data analysis, machine learning, automation, and more. Its cross-platform compatibility ensures seamless execution across different operating systems, cementing its position as one of the most popular programming languages in the world.

Study Plan:

Day 1: Introduction to Python

• Learn what Python is and its significance in programming.
• Install Python on your system.
• Understand basic syntax, variables, and data types.
• Write a simple "Hello, World!" program.
• Familiarize yourself with Python's IDLE or any preferred Integrated Development Environment (IDE).

Day 2: Control Flow and Functions

• Study conditional statements (if, elif, else) and loops (for, while).
• Practice writing programs using control flow.
• Learn about functions and how to define and call them.
• Explore function parameters and return values.

Day 3: Data Structures Part 1 - Lists and Tuples

• Understand lists and tuples and their differences.
• Learn how to manipulate lists and tuples (slicing, indexing, appending, etc.).
• Practice solving problems using lists and tuples.

Day 4: Data Structures Part 2 - Dictionaries and Sets

• Explore dictionaries and sets and their usage.
• Understand dictionary operations and methods.
• Solve problems using dictionaries and sets.

Day 5: String Manipulation and File Handling

• Learn about string manipulation methods and operations.
• Practice working with strings.
• Understand file handling in Python (opening, reading, writing, and closing files).
• Write programs to handle text files.

Day 6: Exception Handling and Modules

• Study exception handling using try-except blocks.
• Understand how to raise custom exceptions.
• Learn about Python modules and how to import them.
• Explore built-in modules and their usage.

Day 7: Object-Oriented Programming (OOP) Basics

• Learn the concepts of classes and objects.
• Understand encapsulation, inheritance, and polymorphism.
• Practice implementing classes and creating objects.
• Solve OOP-related problems.

Day 8: Advanced OOP Concepts

• Study advanced OOP topics like composition, aggregation, and method overriding.
• Learn about class attributes and methods.
• Practice implementing more complex class hierarchies.

Day 9: Functional Programming in Python

• Understand functional programming concepts like lambda functions, map, filter, and reduce.
• Explore the functools module.
• Practice writing functional-style code.

Day 10: Final Project and Review

• Work on a small project combining concepts learned so far.
• Review topics covered in the past days.
• Identify areas for further practice and improvement.