#Singly Linked Lists

[webthreecorp]

Mastering Linked Lists: Beginner's Guide

Hey Tumblr friends 👋

After learning about Arrays, it's time to level up! Today we’re diving into Linked Lists — another fundamental building block of coding! 🧱✨

So... What is a Linked List? 🤔

Imagine a treasure hunt 🗺️:

You find a clue ➡️ it points you to the next clue ➡️ and so on.

That's how a Linked List works!

🔗 Each element (Node) holds data and a pointer to the next Node.

It looks something like this: [data | next] -> [data | next] -> [data | next] -> NULL

Why Use a Linked List? 🌈

✅ Dynamic size (no need to pre-define size like arrays!) ✅ Easy insertions and deletions ✨ ✅ Great for building stacks, queues, and graphs later!

❌ Slower to access elements (you can't jump straight to an item like arrays).

Basic Structure of a Linked List Node 🛠️

data -> stores the actual value

next -> points to the next node

📚 CRUD Operations on Linked Lists

Let’s build simple CRUD functions for a singly linked list in C++! (🚀 CRUD = Create, Read, Update, Delete)

Create (Insert Nodes)

Read (Display the list)

Update (Change a Node’s Value)

Delete (Remove a Node)

🌟 Final Thoughts

🔗 Linked Lists may look tricky at first, but once you master them, you’ll be ready to understand more powerful structures like Stacks, Queues, and even Graphs! 🚀

🌱 Mini Challenge:

Build your own linked list of your favorite songs 🎶

Practice inserting, updating, and deleting songs!

If you loved this explainer, give a follow and let's keep leveling up together! 💬✨ Happy coding, coder fam! 💻🌈 For more resources and help join our discord server

[d8tl55c]

series with links

the above linked lists are doubly-linked lists,

_-[ ]z[ ]z[ ]z[ ]-_

and if you don't link to prev, then it's a singly-linked list.

[ ]->[ ]->[ ]->[ ]-_

there's also circular linked lists which loop around back to front, singly or doubly-linked. these guys have no null pointer.

[ ]->[ ]->[ ]->[ ]-.

^-[ ]<-[ ]<-[ ]<-[ ]

i don't remember a comp sci term for the last one except graph theory from discrete math so you're getting the graph theory.

[mindmapdaily]

Linked List in Python

A linked list is a dynamic data structure used to store elements in a linear order, where each element (called a node) points to the next. Unlike Python lists that use contiguous memory, linked lists offer flexibility in memory allocation, making them ideal for situations where the size of the data isn’t fixed or changes frequently.

In Python, linked lists aren’t built-in but can be implemented using classes. Each node contains two parts: the data and a reference to the next node. The list is managed using a class that tracks the starting node, known as the head.

Node Structure: Contains data and next (pointer to the next node).

Types:

Singly Linked List

Doubly Linked List

Circular Linked List

Operations: Insertion, deletion, and traversal.

Advantages:

Dynamic size

Efficient insertions/deletions

Disadvantages:

Slower access (no random indexing)

Extra memory for pointers

Want to master linked lists and other data structures in Python? PrepInsta has you covered with beginner-friendly explanations and practice problems.

Explore Linked Lists with PrepInsta

[k99marie]

Insert a singly linked list in lexiographic order

P1 <- P2<- pt

while (P1 <> null) and (Ip. info > P1.info) loop

P2<-P1

P1 <- P1. link

End loop

If Pt = P1 then

Ip.link <- Pt

Pt<-IP

Else

P2.link <- Ip

Ip.Link <- Pt

End if

[merlincinema]

Guidelines

Creator Guidelines:

This fest requires participants to have an Ao3 account. All fest fanworks will be hosted on Ao3. If you don’t have an Ao3 account, you can request an invite here. It is suggested to request an invite as soon as possible as invites take upto two weeks to arrive.

Acceptable forms of fanwork for this fest are: Fanfics, Fanart, Podfics and Fanvids. Moodboards, playlists, etc are not accepted.

Fanworks must be specifically created for this fest. Any existing fanworks will not be counted.

Participants can choose to submit more than one entry. However, each of their entries must be based on different movies, which should all be linked individually on the sign-up form.

Fanfics must be a minimum of 500 words. There is no maximum limit. (Fanfic can be whatever form of writing the author considers as a fanfic.)

Fanart must consist of one complete piece of art. (Fanart can be whatever art form the artist considers as fanart. These include edits and gifs.)

Podfics made must be original, and must be inspired by/based on a movie. For example: Reading the script/part of the script of a film combined with some original writing is acceptable, but making a podfic of an existing fanwork is not. Podfics must be at least 3 minutes in length, and only the resulting podfic, and no script/text, is required for submission, unless the podficcer choses to include so.

Fanvids made must be original, and must be inspired by or be based on movies (see example for podfics above). Fanvids cannot be based on existing fanworks. Fanvids must be at least 50 seconds in duration. Only the resulting fanvid, and no script/text, is required for submission, unless the vidder choses to include so.

All fanworks made must be beta’ed.

A particular film can be chosen by any number of participants. However, people are encouraged to choose different movies so as to keep things interesting.

Creators can participate in pairs, groups, or singly.  In the case of a collaboration, only one person in the team must complete the sign-up form and list the Ao3 usernames of all collaborators in the space provided, each separated by a comma. Each team can pick one movie only.

Every individual participant that needs to drop out (single or in a team) must email the mods to notify them as soon as possible, or at the very latest by 31st of January.  In the case of a collaboration, if a team member drops out, the future of the collaboration lies solely in the hands of the remaining members.

The fanworks created here can be used for any other fests, as long as it’s allowed by the other fest mods, and only after posting here first.

Posting Guidelines:

Participants must claim a posting date during the time of date claims (read schedule here) and post their work on that date. Please make sure to post your work on either your assigned posting date or during the Amnesty week and not at any other time in between as it becomes difficult to track fanworks posted out of order.

In a collaboration, only one member should claim the date for the whole team. 

Any participants failing to post their work on their assigned posting date can post later during the Amnesty week. 

All fanworks must first be posted to Ao3 in our Ao3 collection. They can then be posted or shared anywhere else. Our Merlin Cinema collection can be found here. 

Art, podfics and fanvids can be posted on any hosting site and then embedded to Ao3 or uploaded directly to Ao3. 

Participants must email the mods a header of their fanwork, OR post a header on Tumblr and then email the rebloggable link of that header to the mods. In a collaboration, only one participant is required to email the header to the mods.

Please submit the header/link to the header on Tumblr by email only. You can submit it at merlincinemamods@gmail.com. Format for submission of headers is as follows:

For Fanfic: 

<b>Author/s</b>:[Ao3 username. In case of multiple authors, usernames of each author separated by comma] <b>Title</b>: <b>Rating</b>: <b>Pairing</b>: <b>Character/s</b>: <b>Warnings</b>: <b>Word Count</b>: <b>Ao3 Link</b>: <b>Summary</b>: <b>Author's Notes</b>:

The header may optionally be followed by a preview of the fic or the fic itself under read more or continue reading links.

For Fanart:

<b>Artist/s&lt;/b>:[Ao3 username. In case of multiple artists, usernames of each artist separated by comma] <b>Title</b>: <b>Rating</b>: <b>Pairing</b>: <b>Character/s</b>: <b>Media</b>: <b>Warnings</b>: <b>Ao3 Link</b>: <b>Artist’s Notes</b>:

The header may optionally be followed by a preview or the art itself.

For Podfic:

<b>Podficcer/s:</b>[Ao3 username. In case of multiple podficcers, usernames of each podficcer separated by comma] <b>Title</b>: <b>Rating</b>: <b>Pairing</b>: <b>Character/s</b>: <b>Duration</b>: <b>Warnings</b>: <b>Ao3 Link</b>: <b>Podficcer’s Notes</b>:

The header may optionally be followed by a snippet or the embedded media itself.

For Fanvids:

<b>Fanvidder/s</b>:[Ao3 username. In case of multiple podficcers, usernames of each podficcer separated by comma] <b>Title</b>: <b>Rating</b>: <b>Pairing</b>: <b>Character</b>: <b>Duration:</b> <b>Warnings</b>: <b>Ao3 Link</b>: <b>Fanvidder’s Notes</b>:

The header may optionally be followed by a snippet or the embedded media itself.

All posts on Tumblr must follow Tumblr’s guidelines for fanworks and porn. Similarly, all posts on Youtube must follow Youtube’s guidelines for fanworks and porn.

Note: Straggling links/emails/posting out of order/queries sent to addresses not specified below do not guarantee acknowledgement.

[mentalisttraceur-software]

Today I wrote a doubly-linked list variation (in Lisp) with a data layout which can allows accessing the data as a singly-linked list (the norm in Lisp).

Forced upon me because so much of Emacs is written to only handle a handful of specific iterable data-structures.

In modern languages, where "modern" starts over a decade ago, iteration can be overloaded - most things are written to take any iterable, and any object which implements a little basic magic can do it.

But in Emacs, it's still normal to just have functions which handle only lists or a small hard-coded set of sequence types. So this is a very efficient workaround for that limitation.

I already wrote an explanation that I'm really happy with in the commit message, so you can read more over there.

This is pretty nice to have in my toolbox in itself, but it was in service of building an ordered hash table/map whose elements can also be accessed as a normal Lisp list from most recently inserted to oldest.

So now I can have things in doubly-linked lists and hash tables, and still pass them to any function which operates on a regular list without mutating it, basically for free.

[codingprolab]

CS1332 Homework 2: Stacks and Queues 

Stacks and Queues You are to code the following: 1. A Stack backed by a singly-linked list without a tail reference. 2. A Stack backed by an array 3. A Queue backed by a singly-linked list with a tail reference 4. A Queue backed by an array A Stack is a last-in, first-out (LIFO) data structure; the last item to be inserted is the first item to be removed. A Queue is a first-in, first-out (FIFO)…

[contentsmith]

Linked List in Java

Hey everyone!

If you're learning Java and getting into data structures, one concept you'll definitely come across is the Linked List. At first, it might seem a bit tricky compared to arrays, but once you understand how it works, it becomes a super handy tool in your coding journey.

So, what exactly is a linked list?

Think of it like a chain — each part of the chain is called a node. Every node holds some data (like a number or a word) and also keeps track of the next node in line. This way, all the nodes are connected one after the other.

Unlike arrays, linked lists don’t store elements in a fixed or continuous memory space. That makes them flexible — you can easily add or remove items without having to shift other elements around.

There are a few different types of linked lists:

Singly Linked List – each node points to the next one.

Doubly Linked List – nodes point both to the next and previous ones.

Circular Linked List – the last node connects back to the first.

One of the biggest reasons to use a linked list over an array is because it’s dynamic. You don’t need to define a fixed size at the beginning. It’s great for situations where the number of elements can change often.

If you're curious about how to create a linked list in Java, or want to practice with some examples, I recommend checking out this page: Linked List in Java

It explains the concept in a beginner-friendly way and includes simple Java code examples you can try out on your own.

Give it a go and start experimenting — it's a great step toward understanding how data structures work in real coding scenarios.

[ankitcodinghub]

CMSC204 - Solved

Assignment Description Your assignment is to write a generic double singly-linked list class with an iterator, and a generic sorted double singly-linked list class with an iterator that inherits from your generic double singly-linked list class. The GUI has been provided for you for this assignment to help you visualize your linked list. Your list classes will also be tested with Junit tests.…

[codezup]

Understanding the Singly Linked List: A Real-World Tutorial

Introduction In this tutorial, we will explore the concept of a singly linked list and its implementation in a real-world scenario. A singly linked list is a linear data structure where each element points to the next element in the sequence. This tutorial is designed for developers who want to understand the basics of singly linked lists and how to implement them in various programming…

[programmingandengineering]

Stacks and Queues

You are to code the following: A Stack backed by a singly-linked list without a tail reference. A Stack backed by an array A Queue backed by a singly-linked list with a tail reference A Queue backed by an array A Stack is a last-in, first-out (LIFO) data structure; the last item to be inserted is the first item to be removed. A Queue is a first-in, first-out (FIFO) data structure; the first…

[finarena]

DSA Channel: The Ultimate Destination for Learning Data Structures and Algorithms from Basics to Advanced

DSA mastery stands vital for successful software development and competitive programming in the current digital world that operates at high speeds. People at every skill level from beginner to advanced developer will find their educational destination at the DSA Channel.

Why is DSA Important?

Software development relies on data structures together with algorithms as its essential core components. Code optimization emerges from data structures and algorithms which produces better performance and leads to successful solutions of complex problems. Strategic knowledge of DSA serves essential needs for handling job interviews and coding competitions while enhancing logical thinking abilities. Proper guidance makes basic concepts of DSA both rewarding and enjoyable to study.

What Makes DSA Channel Unique?

The DSA Channel exists to simplify both data structures along algorithms and make them accessible to all users. Here’s why it stands out:

The channel provides step-by-step learning progress which conservatively begins by teaching arrays and linked lists and continues to dynamic programming and graph theory.

Each theoretical concept gets backed through coding examples practically to facilitate easier understanding and application in real-life situations.

Major companies like Google, Microsoft, and Amazon utilize DSA knowledge as part of their job recruiter process. Through their DSA Channel service candidates can perform mock interview preparation along with receiving technical interview problem-solving advice and interview cracking techniques.

Updates Occur Regularly Because the DSA Channel Matches the Ongoing Transformation in the Technology Industry. The content uses current algorithm field trends and new elements for constant updates.

 DSAC channels will be covering the below key topics

DSA Channel makes certain you have clear ideas that are necessary for everything from the basics of data structures to the most sophisticated methods and use cases. Highlights :

1. Introduction Basic Data Structures

Fundamentals First, You Always Need To Start With the Basics. Some of the DSA Channel topics are:

Memories storing and manipulating elements of Arrays

Linked Lists — learn linked lists: Singly Linked lists Dually linked lists and Circular linked list

Implementing Stacks and Queues — linear data structure with these implementations.

Hash Table: Understanding Hashing and its impact in the retrieval of Data.

2. Advanced Data Structures

If you want to get Intense: the DSA channel has profound lessons:

Graph bases Types- Type of Graph Traversals: BFS, DFS

Heaps — Come to know about Min Heap and Max Heap

Index Tries – How to store and retrieve a string faster than the fastest possible.

3. Algorithms

This is especially true for efficient problem-solving. The DSA Channel discusses in-depth:

Searching Algorithms Binary Search and Linear Search etc.

Dynamic Programming: Optimization of subproblems

Recursion and Backtracking: How to solve a problem by recursion.

Graph Algorithms — Dijkstra, Bellman-Ford and Floyd-Warshall etc

4. Applications of DSA in Real life

So one of the unique things (About the DSA channel) is these real-world applications of his DSA Channel.

Instead of just teaching Theory the channel gives a hands-on to see how it's used in world DSA applications.

Learning about Database Management Systems — Indexing, Query Optimization, Storage Techniques

Operating Systems – study algorithms scheduling, memory management,t, and file systems.

Machine Learning and AI — Learning the usage of algorithms in training models, and optimizing computations.

Finance and Banking — data structures that help us in identifying risk scheme things, fraud detection, transaction processing, etc.

This hands-on approach to working out will ensure that learners not only know how to use these concepts in real-life examples. 

How Arena Fincorp Benefits from DSA?

Arena Fincorp, a leading financial services provider, understands the importance of efficiency and optimization in the fintech sector. The financial solutions offered through Arena Fincorp operate under the same principles as data structures and algorithms which enhance coding operations. Arena Fincorp guarantees perfect financial transactions and data protection through its implementation of sophisticated algorithms. The foundational principles of DSA enable developers to build strong financial technological solutions for contemporary financial complications.

How to Get Started with DSA Channel?

New users of the DSA Channel should follow these instructions to maximize their experience:

The educational process should start with fundamental videos explaining arrays together with linked lists and stacks to establish a basic knowledge base.

The practice of DSA needs regular exercise and time to build comprehension. Devote specific time each day to find solutions for problems.

The platforms LeetCode, CodeChef, and HackerRank provide various DSA problems for daily problem-solving which boosts your skills.

Join community discussions where you can help learners by sharing solutions as well as working with fellow participants.

Students should do Mock Interviews through the DSA Channel to enhance their self-confidence and gain experience in actual interview situations.

The process of learning becomes more successful when people study together in a community. Through the DSA Channel students find an energetic learning community to share knowledge about doubts and project work and they exchange insight among themselves.

Conclusion

Using either data structures or algorithms in tech requires mastery so they have become mandatory in this sector. The DSA Channel delivers the best learning gateway that suits students as well as professionals and competitive programmers. Through their well-organized educational approach, practical experience and active learner network the DSA Channel builds a deep understanding of DSA with effective problem-solving abilities.

The value of data structures and algorithms and their optimized algorithms and efficient coding practices allows companies such as Arena Fincorp to succeed in their industries. New learners should begin their educational journey right now with the DSA Channel to master data structures and algorithms expertise.

[codeshive]

Programming Assignment - 4 CS-200

Question 1 [50]: Given a (singly) linked list with head node root, write a function to split the linked list into k consecutive linked list “parts”. The length of each part should be as equal as possible: no two parts should have a size differing by more than 1. This may lead to some parts being null. The parts should be in the order of occurrence in the input list, and parts occurring earlier…

[sunbeaminfo]

Enhance Your Coding Skills with Data Structures and Algorithms Classes at Sunbeam Institute, Pune

Elevate your programming expertise by enrolling in the Data Structures and Algorithms course at Sunbeam Institute, Pune. This comprehensive program is designed for students, freshers, and working professionals aiming to deepen their understanding of essential data structures and algorithms using Java.

Course Highlights:

Algorithm Analysis: Learn to evaluate time and space complexity for efficient coding.

Linked Lists: Master various types, including singly, doubly, and circular linked lists.

Stacks and Queues: Understand their implementation using arrays and linked lists, and apply them in expression evaluation and parenthesis balancing.

Sorting and Searching: Gain proficiency in algorithms like Quick Sort, Merge Sort, Heap Sort, Linear Search, Binary Search, and Hashing.

Trees and Graphs: Explore tree traversals, Binary Search Trees (BST), and graph algorithms such as Prim’s MST, Kruskal’s MST, Dijkstra's, and A* search.

Course Details:

Duration: 60 hours

Schedule: Weekdays (Monday to Saturday), 5:00 PM to 8:00 PM

Upcoming Batch: January 27, 2025, to February 18, 2025

Fees: ₹7,500 (including 18% GST)

Prerequisites:

Basic knowledge of Java programming, including classes, objects, generics, and Java collections (e.g., ArrayList).

Why Choose Sunbeam Institute?

Sunbeam Institute is renowned for its effective IT training programs in Pune, offering a blend of theoretical knowledge and practical application to ensure a thorough understanding of complex concepts.

Enroll Now: Secure your spot in this sought-after course to advance your programming skills and enhance your career prospects. For registration and more information, visit:

[korshubudemycoursesblog]

Mastering Data Structures Using Python: A Complete Guide

When learning programming, mastering Data Structures Using Python is one of the most critical milestones. Python, known for its simplicity and versatility, is a perfect language to delve into data structures, which form the backbone of efficient algorithms. In this blog, we’ll explore the essential data structures in Python, how to use them, and why they’re so vital in programming.

Why Learn Data Structures Using Python?

1. Simplifies Complex Operations

Python's built-in libraries and clean syntax make implementing data structures intuitive. Whether you’re manipulating arrays or designing trees, Python minimizes complexity.

2. High Demand for Python Programmers

The demand for professionals with expertise in Python for data structures is skyrocketing, especially in fields like data science, artificial intelligence, and software engineering.

3. A Foundation for Problem-Solving

Understanding data structures like lists, stacks, queues, and trees equips you to solve complex computational problems efficiently.

What Are Data Structures?

At their core, data structures are ways of organizing and storing data to perform operations like retrieval, insertion, and deletion efficiently. There are two main types:

Linear Data Structures: Data is stored sequentially (e.g., arrays, linked lists).

Non-Linear Data Structures: Data is stored hierarchically (e.g., trees, graphs).

Python, with its versatile libraries, offers tools to implement both types seamlessly.

Essential Data Structures in Python

1. Lists

One of Python's most versatile data structures, lists are dynamic arrays that can store heterogeneous data types.

Example:

python

Copy code

# Creating a list

fruits = ["apple", "banana", "cherry"]

print(fruits[1])  # Output: banana

Features of Lists:

Mutable (elements can be changed).

Supports slicing and iteration.

Used extensively in Python programming for simple data organization.

2. Tuples

Tuples are immutable sequences, often used for fixed collections of items.

Example:

python

Copy code

# Creating a tuple

coordinates = (10, 20)

print(coordinates[0])  # Output: 10

Key Benefits:

Faster than lists due to immutability.

Commonly used in scenarios where data integrity is crucial.

3. Dictionaries

Dictionaries in Python implement hash maps and are perfect for key-value storage.

Example:

python

Copy code

# Creating a dictionary

student = {"name": "John", "age": 22}

print(student["name"])  # Output: John

Why Use Dictionaries?

Quick lookups.

Ideal for scenarios like counting occurrences, storing configurations, etc.

4. Sets

Sets are unordered collections of unique elements, useful for removing duplicates or performing mathematical set operations.

Example:

python

Copy code

# Using sets

numbers = {1, 2, 3, 4, 4}

print(numbers)  # Output: {1, 2, 3, 4}

Applications:

Used in tasks requiring unique data points, such as intersection or union operations.

Advanced Data Structures in Python

1. Stacks

Stacks are linear data structures following the LIFO (Last In, First Out) principle.

Implementation:

python

Copy code

stack = []

stack.append(10)

stack.append(20)

print(stack.pop())  # Output: 20

Use Cases:

Undo operations in text editors.

Browser backtracking functionality.

2. Queues

Queues follow the FIFO (First In, First Out) principle and are used for tasks requiring sequential processing.

Implementation:

python

Copy code

from collections import deque

queue = deque()

queue.append(1)

queue.append(2)

print(queue.popleft())  # Output: 1

Applications:

Customer service simulations.

Process scheduling in operating systems.

3. Linked Lists

Unlike arrays, linked lists store data in nodes connected via pointers.

Types:

Singly Linked Lists

Doubly Linked Lists

Example:

python

Copy code

class Node:

    def __init__(self, data):

        self.data = data

        self.next = None

# Creating nodes

node1 = Node(10)

node2 = Node(20)

node1.next = node2

Benefits:

Efficient insertion and deletion.

Commonly used in dynamic memory allocation.

4. Trees

Trees are hierarchical structures used to represent relationships.

Types:

Binary Trees

Binary Search Trees

Heaps

Example:

python

Copy code

class TreeNode:

    def __init__(self, data):

        self.data = data

        self.left = None

        self.right = None

Applications:

Databases.

Routing algorithms.

5. Graphs

Graphs consist of nodes (vertices) connected by edges.

Representation:

Adjacency List

Adjacency Matrix

Example:

python

Copy code

graph = { 

    "A": ["B", "C"],

    "B": ["A", "D"],

    "C": ["A", "D"],

    "D": ["B", "C"]

}

Applications:

Social networks.

Navigation systems.

Why Python Stands Out for Data Structures

1. Built-In Libraries

Python simplifies data structure implementation with libraries like collections and heapq.

2. Readable Syntax

Beginners and experts alike find Python's syntax intuitive, making learning data structures using Python easier.

3. Versatility

From simple algorithms to complex applications, Python adapts to all.

Common Challenges and How to Overcome Them

1. Understanding Concepts

Some learners struggle with abstract concepts like recursion or tree traversal. Watching tutorial videos or practicing coding challenges can help.

2. Memory Management

Efficient use of memory is critical, especially for large-scale data. Python's garbage collection minimizes these issues.

3. Debugging

Using tools like Python’s pdb debugger helps troubleshoot problems effectively.

[raspberryjamnnn]

rightly scolded for implementing untested unordered singly linked lists