Things to learn in Python before choosing any Technological Vertical

Day 1: Python Basics

• Objective: Understand the fundamentals of Python programming language.

  • Variables and Data Types (Integers, Strings, Floats, Booleans)

  • Basic Input and Output (using input() and print())

  • Basic Arithmetic Operations (addition, subtraction, multiplication, division)

Day 2: Control Flow - Conditional Statements

• Objective: Learn how to make decisions in your code.

  • if, else, and elif statements

  • Comparison operators (==, !=, >, <, >=, <=)

  • Logical operators (and, or, not)

Day 3: Loops - Iteration

• Objective: Work with loops to repeat tasks.

  • for loops (iterating over lists, strings, ranges)

  • while loops

  • break, continue, and pass statements

Day 4: Functions

• Objective: Learn to write reusable code with functions.

  • Defining functions with def

  • Function arguments and parameters

  • Return values

  • Scope (local vs global variables)

Day 5: Data Structures - Lists

• Objective: Get familiar with Python’s built-in data structures.

  • Creating lists and accessing elements

  • List operations (adding, removing, slicing)

  • List methods (e.g., append(), pop(), sort())

Day 6: Data Structures - Tuples and Sets

• Objective: Explore immutable and unordered collections.

  • Tuples: Creating, accessing elements, immutability

  • Sets: Creating sets, adding/removing elements, set operations

Day 7: Data Structures - Dictionaries

• Objective: Learn about key-value pairs and how to use dictionaries.

  • Creating and accessing dictionaries

  • Modifying dictionaries (adding, updating, removing key-value pairs)

  • Dictionary methods (e.g., keys(), values(), items())

Day 8: List Comprehension

• Objective: Write concise and efficient code with list comprehensions.

  • Creating lists using list comprehensions

  • Filtering elements in a list using conditions

Day 9: String Manipulation

• Objective: Work with text in Python.

  • String concatenation, repetition, and formatting

  • String methods (e.g., split(), join(), lower(), upper(), replace())

  • String slicing

Day 10: File Handling

• Objective: Read from and write to files.

  • Opening files with open()

  • Reading from files (read(), readlines())

  • Writing to files (write(), writelines())

  • Closing files

Day 11: Exception Handling

• Objective: Handle errors gracefully in your program.

  • try, except blocks

  • else, finally

  • Raising exceptions

Day 12: Object-Oriented Programming (OOP) - Classes and Objects

• Objective: Understand the core principles of OOP in Python.

  • Defining classes and creating objects

  • Instance variables and methods

  • Constructors (__init__())

Day 13: OOP - Inheritance and Polymorphism

• Objective: Learn to extend classes and reuse code.

  • Inheriting from another class

  • Overriding methods

  • Polymorphism and method overriding

Day 14: Final Project

• Objective: Apply everything you've learned to a real-world project.

  • Design and implement a small project that incorporates:

    • Functions

    • Control flow

    • Data structures

    • File handling

    • OOP (if applicable)