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Forwarded from Machine Learning with Python
Open Guide to Data Structures and Algorithms
A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively.
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A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively.
Read it here:
https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms
#DSA #Algorithms #DataStructures #ProgrammingBasics #CSforBeginners #OpenSourceLearning #CodingJourney #TechEducation #ComputerScience #PythonBeginners
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"Data Structures & Algorithms using Python"
This book covers all types of data structures from Arrays to Graphs. Simple to complex algorithms. π― FREE.
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Topic: Linked Lists in Python β Part 1: Introduction and Singly Linked List Basics
---
What is a Linked List?
β’ A linked list is a linear data structure where each element (called a node) contains:
β’ The data value.
β’ A pointer (or reference) to the next node.
β’ Unlike arrays, linked lists donβt require contiguous memory and can grow dynamically.
---
Why Use Linked Lists?
β’ Efficient insertions/deletions at the beginning or middle.
β’ No need for pre-defining size, unlike arrays.
β’ Used in memory-efficient applications like OS kernels, compilers, and real-time systems.
---
Types of Linked Lists
β’ Singly Linked List β Each node points to the next.
β’ Doubly Linked List β Nodes have next and previous pointers.
β’ Circular Linked List β The last node points back to the head.
---
Basic Structure of a Node
---
Building a Singly Linked List
---
Traversing the List
Usage:
---
Inserting at the Beginning
---
Summary
β’ A singly linked list stores data as a sequence of nodes linked by references.
β’ Supports dynamic memory usage, fast insertions, and flexible resizing.
β’ The key is managing node connections safely and efficiently.
---
Exercise
β’ Implement a method
---
#DataStructures #LinkedList #DSA #Python #CodingBasics
https://t.me/DataScience4
---
What is a Linked List?
β’ A linked list is a linear data structure where each element (called a node) contains:
β’ The data value.
β’ A pointer (or reference) to the next node.
β’ Unlike arrays, linked lists donβt require contiguous memory and can grow dynamically.
---
Why Use Linked Lists?
β’ Efficient insertions/deletions at the beginning or middle.
β’ No need for pre-defining size, unlike arrays.
β’ Used in memory-efficient applications like OS kernels, compilers, and real-time systems.
---
Types of Linked Lists
β’ Singly Linked List β Each node points to the next.
β’ Doubly Linked List β Nodes have next and previous pointers.
β’ Circular Linked List β The last node points back to the head.
---
Basic Structure of a Node
class Node:
def __init__(self, data):
self.data = data
self.next = None
---
Building a Singly Linked List
class LinkedList:
def __init__(self):
self.head = None
def append(self, data):
new_node = Node(data)
if not self.head:
self.head = new_node
return
current = self.head
while current.next:
current = current.next
current.next = new_node
---
Traversing the List
def display(self):
current = self.head
while current:
print(current.data, end=" -> ")
current = current.next
print("None")
Usage:
ll = LinkedList()
ll.append(10)
ll.append(20)
ll.append(30)
ll.display() # Output: 10 -> 20 -> 30 -> None
---
Inserting at the Beginning
def insert_at_beginning(self, data):
new_node = Node(data)
new_node.next = self.head
self.head = new_node
---
Summary
β’ A singly linked list stores data as a sequence of nodes linked by references.
β’ Supports dynamic memory usage, fast insertions, and flexible resizing.
β’ The key is managing node connections safely and efficiently.
---
Exercise
β’ Implement a method
length() that returns the number of nodes in the list.---
#DataStructures #LinkedList #DSA #Python #CodingBasics
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β€3