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Python Projects & Resources
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Step-by-Step Approach to Learn Python
Learn the Basics → Syntax, Variables, Data Types (int, float, string, boolean)

Control Flow → If-Else, Loops (For, While), List Comprehensions

Data Structures → Lists, Tuples, Sets, Dictionaries

Functions & Modules → Defining Functions, Lambda Functions, Importing Modules

File Handling → Reading/Writing Files, CSV, JSON

Object-Oriented Programming (OOP) → Classes, Objects, Inheritance, Polymorphism

Error Handling & Debugging → Try-Except, Logging, Debugging Techniques

Advanced Topics → Regular Expressions, Multi-threading, Decorators, Generators

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What are the common built-in data types in Python?

Python supports the below-mentioned built-in data types:

Immutable data types:

👉Number
👉String
👉Tuple

Mutable data types:

👉List
👉Dictionary
👉set
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What is the lambda function in Python?

A lambda function is an anonymous function (a function that does not have a name) in Python. To define anonymous functions, we use the ‘lambda’ keyword instead of the ‘def’ keyword, hence the name ‘lambda function’. Lambda functions can have any number of arguments but only one statement.

Example:

l = lambda x,y : x*y
print(a(5, 6))

Output:30
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Math Topics every Data Scientist should know
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⌨️ Hide secret message in image using Python
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⌨️ Grammar Correction using Python
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Important Sorting Algorithms-

Bubble Sort: Bubble Sort is the most basic sorting algorithm, and it works by repeatedly swapping adjacent elements if they are out of order.

Merge Sort: Merge sort is a sorting technique that uses the divide and conquer strategy.

Quicksort: Quicksort is a popular sorting algorithm that performs n log n comparisons on average when sorting an array of n elements. It is a more efficient and faster sorting algorithm.

Heap Sort: Heap sort works by visualizing the array elements as a special type of complete binary tree known as a heap.

Important Searching Algorithms-

Binary Search: Binary search employs the divide and conquer strategy, in which a sorted list is divided into two halves and the item is compared to the list’s middle element. If a match is found, the middle element’s location is returned.

Breadth-First Search(BFS): Breadth-first search is a graph traversal algorithm that begins at the root node and explores all neighboring nodes.

Depth-First Search(DFS): The depth-first search (DFS) algorithm begins with the first node of the graph and proceeds to go deeper and deeper until we find the goal node or node with no children.

#coding
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