PYTHON IN ONE SHOT BY APNA COLLEGE

1. Python Course Breakdown

– Introduction

Python is a high-level, interpreted programming language that is widely used for web development, data analysis, automation, and artificial intelligence. It is known for its readability, simplicity, and versatility.

 

– Variables and Data Types

Variables in Python are used to store data, and Python supports various data types such as:

 

Integers (int): Whole numbers (e.g., 5, 100)

Floats (float): Numbers with decimal points (e.g., 5.6, 9.99)

Strings (str): Sequence of characters (e.g., “hello”)

Booleans (bool): Logical values (True or False)

None: Represents the absence of a value

– Strings and Conditional Statements

 

Strings are sequences of characters enclosed in quotes (” ” or ‘ ‘).

Python provides multiple methods for string manipulation, such as concatenation, slicing, and formatting.

Conditional Statements (if-elif-else) allow you to make decisions in your code based on conditions.3

– Lists and Tuples

 

Lists are mutable, ordered collections of items that can hold different types of elements (e.g., [1, “apple”, 3.5]).

Tuples are similar to lists but immutable, meaning they cannot be modified after creation (e.g., (1, “apple”, 3.5)).

– Dictionary and Set

 

Dictionaries are collections of key-value pairs, where each key must be unique (e.g., {“name”: “John”, “age”: 30}).

Sets are unordered collections of unique elements, used when duplicate values are not required (e.g., {1, 2, 3}).

– Loops

 

Python supports for and while loops to execute a block of code repeatedly:

For loop: Iterates over a sequence (e.g., a list, tuple, or string).

While loop: Continues execution as long as the condition remains true.

– Functions and Recursion

 

Functions in Python are blocks of reusable code that perform specific tasks. They are defined using the def keyword.

Recursion is a technique where a function calls itself to solve a problem.

– File Input and Output

 

Python provides built-in functions to work with files:

open(): Opens a file

read(): Reads data from a file

write(): Writes data to a file

close(): Closes the file after operations

– OOPS (Object-Oriented Programming) Part 1

 

Classes and Objects: Classes are blueprints for creating objects. Objects are instances of classes.

Attributes: Variables that belong to a class or an object.

Methods: Functions that belong to a class or object.

– OOPS (Object-Oriented Programming) Part 2

 

Inheritance: A way to form new classes using classes that have already been defined.

Polymorphism: The ability of different objects to respond to the same method in different ways.

Encapsulation: The bundling of data and methods into a single unit or class.

Abstraction: Hiding the implementation details and showing only the functionality.

– Mini Project

A mini-project that consolidates everything learned, applying concepts like data structures, file handling, OOP principles, and more to build a functional application. This could be a simple game, a data analysis script, or a basic web scraper.

 

Each of these topics builds upon the last, offering a structured approach to mastering Py

thon for both beginner and intermediate learners.