#queue using circular array

[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.

[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:

[fortunatelycoldengineer]

Test Your Knowledge: Quiz Challenge!!! 📝🧠

In a circular queue implementation using array of size 5, the array index starts with 0 where front and rear values are 3 and 4 respectively. Determine the array index at which the insertion of the next element will take place.🤔

For more interesting quizzes, check the link below! 📚

https://bit.ly/3WDJhF0

For the explanation of the right answer, you can check Q.No. 46 of the above link. 📖

[nocodehackathon]

Essential Algorithms and Data Structures for Competitive Programming

Competitive programming is a thrilling and intellectually stimulating field that challenges participants to solve complex problems efficiently and effectively. At its core, competitive programming revolves around algorithms and data structures—tools that help you tackle problems with precision and speed. If you're preparing for a competitive programming contest or just want to enhance your problem-solving skills, understanding essential algorithms and data structures is crucial. In this blog, we’ll walk through some of the most important ones you should be familiar with.

1. Arrays and Strings

Arrays are fundamental data structures that store elements in a contiguous block of memory. They allow for efficient access to elements via indexing and are often the first data structure you encounter in competitive programming.

Operations: Basic operations include traversal, insertion, deletion, and searching. Understanding how to manipulate arrays efficiently can help solve a wide range of problems.

Strings are arrays of characters and are often used to solve problems involving text processing. Basic string operations like concatenation, substring search, and pattern matching are essential.

2. Linked Lists

A linked list is a data structure where elements (nodes) are stored in separate memory locations and linked together using pointers. There are several types of linked lists:

Singly Linked List: Each node points to the next node.

Doubly Linked List: Each node points to both the next and previous nodes.

Circular Linked List: The last node points back to the first node.

Linked lists are useful when you need to frequently insert or delete elements as they allow for efficient manipulation of the data.

3. Stacks and Queues

Stacks and queues are abstract data types that operate on a last-in-first-out (LIFO) and first-in-first-out (FIFO) principle, respectively.

Stacks: Useful for problems involving backtracking or nested structures (e.g., parsing expressions).

Queues: Useful for problems involving scheduling or buffering (e.g., breadth-first search).

Both can be implemented using arrays or linked lists and are foundational for many algorithms.

4. Hashing

Hashing involves using a hash function to convert keys into indices in a hash table. This allows for efficient data retrieval and insertion.

Hash Tables: Hash tables provide average-case constant time complexity for search, insert, and delete operations.

Collisions: Handling collisions (when two keys hash to the same index) using techniques like chaining or open addressing is crucial for effective hashing.

5. Trees

Trees are hierarchical data structures with a root node and child nodes. They are used to represent hierarchical relationships and are key to many algorithms.

Binary Trees: Each node has at most two children. They are used in various applications such as binary search trees (BSTs), where the left child is less than the parent, and the right child is greater.

Binary Search Trees (BSTs): Useful for dynamic sets where elements need to be ordered. Operations like insertion, deletion, and search have an average-case time complexity of O(log n).

Balanced Trees: Trees like AVL trees and Red-Black trees maintain balance to ensure O(log n) time complexity for operations.

6. Heaps

A heap is a specialized tree-based data structure that satisfies the heap property:

Max-Heap: The value of each node is greater than or equal to the values of its children.

Min-Heap: The value of each node is less than or equal to the values of its children.

Heaps are used in algorithms like heap sort and are also crucial for implementing priority queues.

7. Graphs

Graphs represent relationships between entities using nodes (vertices) and edges. They are essential for solving problems involving networks, paths, and connectivity.

Graph Traversal: Algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS) are used to explore nodes and edges in graphs.

Shortest Path: Algorithms such as Dijkstra’s and Floyd-Warshall help find the shortest path between nodes.

Minimum Spanning Tree: Algorithms like Kruskal’s and Prim’s are used to find the minimum spanning tree in a graph.

8. Dynamic Programming

Dynamic Programming (DP) is a method for solving problems by breaking them down into simpler subproblems and storing the results of these subproblems to avoid redundant computations.

Memoization: Storing results of subproblems to avoid recomputation.

Tabulation: Building a table of results iteratively, bottom-up.

DP is especially useful for optimization problems, such as finding the shortest path, longest common subsequence, or knapsack problem.

9. Greedy Algorithms

Greedy Algorithms make a series of choices, each of which looks best at the moment, with the hope that these local choices will lead to a global optimum.

Applications: Commonly used for problems like activity selection, Huffman coding, and coin change.

10. Graph Algorithms

Understanding graph algorithms is crucial for competitive programming:

Shortest Path Algorithms: Dijkstra’s Algorithm, Bellman-Ford Algorithm.

Minimum Spanning Tree Algorithms: Kruskal’s Algorithm, Prim’s Algorithm.

Network Flow Algorithms: Ford-Fulkerson Algorithm, Edmonds-Karp Algorithm.

Preparing for Competitive Programming: Summer Internship Program

If you're eager to dive deeper into these algorithms and data structures, participating in a summer internship program focused on Data Structures and Algorithms (DSA) can be incredibly beneficial. At our Summer Internship Program, we provide hands-on experience and mentorship to help you master these crucial skills. This program is designed for aspiring programmers who want to enhance their competitive programming abilities and prepare for real-world challenges.

What to Expect:

Hands-On Projects: Work on real-world problems and implement algorithms and data structures.

Mentorship: Receive guidance from experienced professionals in the field.

Workshops and Seminars: Participate in workshops that cover advanced topics and techniques.

Networking Opportunities: Connect with peers and industry experts to expand your professional network.

By participating in our DSA Internship, you’ll gain practical experience and insights that will significantly boost your competitive programming skills and prepare you for success in contests and future career opportunities.

In conclusion, mastering essential algorithms and data structures is key to excelling in competitive programming. By understanding and practicing these concepts, you can tackle complex problems with confidence and efficiency. Whether you’re just starting out or looking to sharpen your skills, focusing on these fundamentals will set you on the path to success.

Ready to take your skills to the next level? Join our Summer Internship Program and dive into the world of algorithms and data structures with expert guidance and hands-on experience. Your journey to becoming a competitive programming expert starts here!

[myprogrammingsolver]

Lab 3: Queue Implementations

Goals: * Implement a Queue class using a link-based data structure: queue_linked.py * Implement a Queue class using a circular array: queue_array.py * In the first implementation, you will use a linked structure similar to the linked structure used in implementing the Stack ADT (i.e. create a Node class). In this case, there must be a way to add items to the back of the list and remove items from…

[tutort-academy]

How to Ace Your DSA Interview, Even If You're a Newbie

Are you aiming to crack DSA interviews and land your dream job as a software engineer or developer? Look no further! This comprehensive guide will provide you with all the necessary tips and insights to ace your DSA interviews. We'll explore the important DSA topics to study, share valuable preparation tips, and even introduce you to Tutort Academy DSA courses to help you get started on your journey. So let's dive in!

Why is DSA Important?

Before we delve into the specifics of DSA interviews, let's first understand why data structures and algorithms are crucial for software development. DSA plays a vital role in optimizing software components, enabling efficient data storage and processing.

From logging into your Facebook account to finding the shortest route on Google Maps, DSA is at work in various applications we use every day. Mastering DSA allows you to solve complex problems, optimize code performance, and design efficient software systems.

Important DSA Topics to Study

To excel in DSA interviews, it's essential to have a strong foundation in key topics. Here are some important DSA topics you should study:

1. Arrays and Strings

Arrays and strings are fundamental data structures in programming. Understanding array manipulation, string operations, and common algorithms like sorting and searching is crucial for solving coding problems.

2. Linked Lists

Linked lists are linear data structures that consist of nodes linked together. It's important to understand concepts like singly linked lists, doubly linked lists, and circular linked lists, as well as operations like insertion, deletion, and traversal.

3. Stacks and Queues

Stacks and queues are abstract data types that follow specific orderings. Mastering concepts like LIFO (Last In, First Out) for stacks and FIFO (First In, First Out) for queues is essential. Additionally, learn about their applications in real-life scenarios.

4. Trees and Binary Trees

Trees are hierarchical data structures with nodes connected by edges. Understanding binary trees, binary search trees, and traversal algorithms like preorder, inorder, and postorder is crucial. Additionally, explore advanced concepts like AVL trees and red-black trees.

5. Graphs

Graphs are non-linear data structures consisting of nodes (vertices) and edges. Familiarize yourself with graph representations, traversal algorithms like BFS (Breadth-First Search) and DFS (Depth-First Search), and graph algorithms such as Dijkstra's algorithm and Kruskal's algorithm.

6. Sorting and Searching Algorithms

Understanding various sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quicksort is essential. Additionally, familiarize yourself with searching algorithms like linear search, binary search, and hash-based searching.

7. Dynamic Programming

Dynamic programming involves breaking down a complex problem into smaller overlapping subproblems and solving them individually. Mastering this technique allows you to solve optimization problems efficiently.

These are just a few of the important DSA topics to study. It's crucial to have a solid understanding of these concepts and their applications to perform well in DSA interviews.

Tips to Follow While Preparing for DSA Interviews

Preparing for DSA interviews can be challenging, but with the right approach, you can maximize your chances of success. Here are some tips to keep in mind:

1. Understand the Fundamentals

Before diving into complex algorithms, ensure you have a strong grasp of the fundamentals. Familiarize yourself with basic data structures, common algorithms, and time and space complexities.

2. Practice Regularly

Consistent practice is key to mastering DSA. Solve a wide range of coding problems, participate in coding challenges, and implement algorithms from scratch. Leverage online coding platforms like LeetCode, HackerRank to practice and improve your problem-solving skills.

3. Analyze and Optimize

After solving a problem, analyze your solution and look for areas of improvement. Optimize your code for better time and space complexities. This demonstrates your ability to write efficient and scalable code.

4. Collaborate and Learn from Others

Engage with the coding community, join study groups, and participate in online forums. Collaborating with others allows you to learn different approaches, gain insights, and improve your problem-solving skills.

5. Mock Interviews and Feedback

Simulate real interview scenarios by participating in mock interviews. Seek feedback from experienced professionals or mentors who can provide valuable insights into your strengths and areas for improvement.

Following these tips will help you build a solid foundation in DSA and boost your confidence for interviews.

Conclusion

Mastering DSA is crucial for acing coding interviews and securing your dream job as a software engineer or developer. By studying important DSA topics, following effective preparation tips, and leveraging Tutort Academy's DSA courses, you'll be well-equipped to tackle DSA interviews with confidence. Remember to practice regularly, seek feedback, and stay curious.

Good luck on your DSA journey!

[more-than-a-princess]

"Kick them out," Sonia repeated, thoughtfully though with a small smirk on her lips as they made their way off the spaceship ride. "From what I have heard of you, I do not doubt the literal meaning of that. You are far more skilled than most street gang members where combat is concerned. How did you learn to fight?"

At least he was also far more advanced in another area than his motorcycle-riding gang peers. Toman hadn't been the first she'd encountered nor would it be the last, but Manjiro Sano was singular in that he seemed to treat women with respect overall, as long as they hadn't offended him. Rarer still, he seemed to be shy around women in various states of undress: unlike most boys who managed to sneak into a hostess bar, he hadn't stared or drooled or attempted to flirt with the women getting ready for work. Instead, if Sonia remembered accurately, he'd kept his head down and said little to any of them.

She chuckled at the thought: he either was not interested in women sexually or romantically, or he was anxious. It did rather paint a different picture of 'The Invincible Mikey.' One that seemed more human and approachable. "I am not sure if I can speak for all women, but I think they do. Having a choice is essential, but it is rare, I have found, for street gangs composed of boys to treat girls as something other than, at best, a girlfriend. And at worst, well, it is appropriate for children's ears. For girls who are ill-equipped to defend themselves against such advances, it can be a harrowing experience."

She couldn't share personal experience on the matter, but she'd come to the aid of enough women to know how prevalent it was: girls who were used and abused by teenage street gangs, soaplands, massage parlors, and in some cases, the yakuza themselves. Her mother had always instructed her not to interfere if there was any risk to the Borghese Family for doing so, but it was one of the few family rules Sonia couldn't abide by. She did it in secret, with resources she gathered and moved quietly, but it helped her negotiate with her conscience. It helped balance out the horrific reality of organized crime.

"I do not mind nicknames," Sonia replied, her mouth forming a small pout as they left the futuristic Tomorrowland behind. "But must it be 'Princess?' It feels rather patronizing. There is nothing resembling a fairy tale where my life is concerned." She paused to look warily up at the castle, one of two in the theme park. This one devoted to a pretty girl who fell in love with a monster: Sonia could see the value in that. The princes seemed overrated anyway.

"If it is all right by you, I have come to realize I much prefer a motorcycle to a carriage," She confessed, giving him a smile before leading the way forward, towards the foreboding haunted house. Or at least where she'd approximated it on the map: she had a decent sense of direction, and so they ended up in the queue in no time. There was no point in Mikey trying to resist: Sonia had her heart set on the Haunted Mansion.

"They are lame?" Sonia asked, truly shocked in-between giggles. "I think they are fun! It could be more frightening, yes, but I think the humor adds to the atmosphere of the theme park. And I have never visited a haunted house before! Or not a theme park one, in any case: I have inhabited a few that have true ghostly residents. But I imagine a ride is much different!"

For one thing, there were no clowns on the walls, something that the centuries-old manors in Novoselic tended not to possess. "I shall volunteer my services to protect you from the clowns, beginning immediately," Sonia chided him, grinning, as they were shuffled into a circular room with curious paintings and an array of gargoyles holding flickering candles. "Is this the ride, then?" She asked, just as the room fell dark, a deep voice announcing their welcome into the Haunted Mansion, and the portraits began to stretch.

"Huh never thought about it that way, but guess you're right." Being at the top, he constantly had to remind himself that he shouldn't underestimate those weaker than him. Until recently, the moniker "invincible" tended to make him feel indestructible and arrogant. Then Takemitchy had come along, and he'd reminded him that even though someone may be physically inept, there were other kinds of strengths. Whether it be intelligence, such as Kisaki's keen wit, or the raw charisma that drove people to follow Takemitchy, he'd learned to be wary of all to some degree.

"Well yeah... Of course I know not all women are the same." Mikey pouted. "Not like I would force anyone to join. And my men are smart enough not to go against me. If they disobey me I'll.. Kick them out." He just managed to leave out the part about beating the shit out of them first, since he didn't want to scare the happy families in line. "Don't women want equality and the freedom to chose to take that risk anyway?"

Despite coming a long way, he still had his moments of arrogance. Thinking he could perfectly prevent any wrong from happening in his gang was one of those occasions, and another was believing he could protect Sonia, if only she would agree to join. "Fine fine." He shrugged, as he got into the car next to her. "But either way we're friends now." He would let it go for now, not wanting to push her too hard. If she wanted to stay in her gilded cage, well that was her decision.

Mikey helped her out of the car once the ride had ended, a grin spreading across his features. "Nah. All my close friends get nicknames, so get used to it." He gazed a bit longingly at the games as they passed by. He'd always loved them, but they could come back later.

He'd never seen someone so excited for a haunted house. "Hah, doubt anyone died in there, or the park would probably get sued. But that would be something I guess." He wasn't disgusted at all her by her casual flippancy on such a macabre topic. Death never bothered him much, not since he'd first laid eyes on his brother's dead body. Hopefully his logical viewpoint didn't douse her excitement too much though.

He side eyed the heiress, as she read over his shoulders, suddenly bothered by how much shorter he was. Grumbling softly in frustration, he followed after her. Of course, he wouldn't go through the princess area without making a quip, especially since he was feeling especially sore about their height difference. He spotted a ride featuring Belle, and he ran over to it, bowing to her. "Your carriage awaits princess," he teased. Despite his joking, she was determined to get to her destination, and before he knew it, they had arrived at the back of the line for the haunted house.

"A pet cemetery... 'What type of dog does Dracula have? ... A blood hound.' Wow talk about some lame Dad jokes." He looked around frowning. The decorations were unfamiliar, and he slowly realized he'd never done this ride before. In fact, he couldn't remember ever going into a haunted house. "Have you been in a haunted house before? Guess I've never done this one." Or any one. The queue moved into the building, where there were various clowns in cages on the wall.

The Toman Leader blanched. "Clowns? Shit I fucking hate clowns." He turned away from the wall, but then he ended up turning back towards them. He'd rather stare at them then risk them sneaking up on him. Deep down he knew he was being silly, and that these were just decorations no different then the stars on display in the Space Mountain line, but they were still creepy as hell.

[courseforfree]

Data Structures and Algorithms from Zero to Hero and Crack Top Companies 100+ Interview questions (Java Coding)

What you’ll learn

Java Data Structures and Algorithms Masterclass

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Become a better developer by mastering computer science fundamentals

Learn everything you need to ace difficult coding interviews

Cracking the Coding Interview with 100+ questions with explanations

Time and Space Complexity of Data Structures and Algorithms

Recursion

Big O

Dynamic Programming

Divide and Conquer Algorithms

Graph Algorithms

Greedy Algorithms

Requirements

Basic Java Programming skills

Description

Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.

At 44+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple, Amazon, Google, and Microsoft and how-to face Interviews with comprehensive visual explanatory video materials which will bring you closer to landing the tech job of your dreams!

Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high-level programming languages.

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from the very beginning to very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple, Amazon, Google, and Microsoft.

I cover everything you need to know about the technical interview process!

So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures, and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money-back guarantee for 30 days!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms, increase your earning potential, or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 – Introduction

What are Data Structures?

What is an algorithm?

Why are Data Structures And Algorithms important?

Types of Data Structures

Types of Algorithms

Section 2 – Recursion

What is Recursion?

Why do we need recursion?

How does Recursion work?

Recursive vs Iterative Solutions

When to use/avoid Recursion?

How to write Recursion in 3 steps?

How to find Fibonacci numbers using Recursion?

Section 3 – Cracking Recursion Interview Questions

Question 1 – Sum of Digits

Question 2 – Power

Question 3 – Greatest Common Divisor

Question 4 – Decimal To Binary

Section 4 – Bonus CHALLENGING Recursion Problems (Exercises)

power

factorial

products array

recursiveRange

fib

reverse

palindrome

some recursive

flatten

capitalize first

nestedEvenSum

capitalize words

stringifyNumbers

collects things

Section 5 – Big O Notation

Analogy and Time Complexity

Big O, Big Theta, and Big Omega

Time complexity examples

Space Complexity

Drop the Constants and the nondominant terms

Add vs Multiply

How to measure the codes using Big O?

How to find time complexity for Recursive calls?

How to measure Recursive Algorithms that make multiple calls?

Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Product and Sum

Print Pairs

Print Unordered Pairs

Print Unordered Pairs 2 Arrays

Print Unordered Pairs 2 Arrays 100000 Units

Reverse

O(N)  Equivalents

Factorial Complexity

Fibonacci Complexity

Powers of 2

Section 7 – Arrays

What is an Array?

Types of Array

Arrays in Memory

Create an Array

Insertion Operation

Traversal Operation

Accessing an element of Array

Searching for an element in Array

Deleting an element from Array

Time and Space complexity of One Dimensional Array

One Dimensional Array Practice

Create Two Dimensional Array

Insertion – Two Dimensional Array

Accessing an element of Two Dimensional Array

Traversal – Two Dimensional Array

Searching for an element in Two Dimensional Array

Deletion – Two Dimensional Array

Time and Space complexity of Two Dimensional Array

When to use/avoid array

Section 8 – Cracking Array Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Question 1 – Missing Number

Question 2 – Pairs

Question 3 – Finding a number in an Array

Question 4 – Max product of two int

Question 5 – Is Unique

Question 6 – Permutation

Question 7 – Rotate Matrix

Section 9 – CHALLENGING Array Problems (Exercises)

Middle Function

2D Lists

Best Score

Missing Number

Duplicate Number

Pairs

Section 10 – Linked List

What is a Linked List?

Linked List vs Arrays

Types of Linked List

Linked List in the Memory

Creation of Singly Linked List

Insertion in Singly Linked List in Memory

Insertion in Singly Linked List Algorithm

Insertion Method in Singly Linked List

Traversal of Singly Linked List

Search for a value in Single Linked List

Deletion of a node from Singly Linked List

Deletion Method in Singly Linked List

Deletion of entire Singly Linked List

Time and Space Complexity of Singly Linked List

Section 11 – Circular Singly Linked List

Creation of Circular Singly Linked List

Insertion in Circular Singly Linked List

Insertion Algorithm in Circular Singly Linked List

Insertion method in Circular Singly Linked List

Traversal of Circular Singly Linked List

Searching a node in Circular Singly Linked List

Deletion of a node from Circular Singly Linked List

Deletion Algorithm in Circular Singly Linked List

A method in Circular Singly Linked List

Deletion of entire Circular Singly Linked List

Time and Space Complexity of Circular Singly Linked List

Section 12 – Doubly Linked List

Creation of Doubly Linked List

Insertion in Doubly Linked List

Insertion Algorithm in Doubly Linked List

Insertion Method in Doubly Linked List

Traversal of Doubly Linked List

Reverse Traversal of Doubly Linked List

Searching for a node in Doubly Linked List

Deletion of a node in Doubly Linked List

Deletion Algorithm in Doubly Linked List

Deletion Method in Doubly Linked List

Deletion of entire Doubly Linked List

Time and Space Complexity of Doubly Linked List

Section 13 – Circular Doubly Linked List

Creation of Circular Doubly Linked List

Insertion in Circular Doubly Linked List

Insertion Algorithm in Circular Doubly Linked List

Insertion Method in Circular Doubly Linked List

Traversal of Circular Doubly Linked List

Reverse Traversal of Circular Doubly Linked List

Search for a node in Circular Doubly Linked List

Delete a node from Circular Doubly Linked List

Deletion Algorithm in Circular Doubly Linked List

Deletion Method in Circular Doubly Linked List

Entire Circular Doubly Linked List

Time and Space Complexity of Circular Doubly Linked List

Time Complexity of Linked List vs Arrays

Section 14 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Linked List Class

Question 1 – Remove Dups

Question 2 – Return Kth to Last

Question 3 – Partition

Question 4 – Sum Linked Lists

Question 5 – Intersection

Section 15 – Stack

What is a Stack?

What and Why of Stack?

Stack Operations

Stack using Array vs Linked List

Stack Operations using Array (Create, isEmpty, isFull)

Stack Operations using Array (Push, Pop, Peek, Delete)

Time and Space Complexity of Stack using Array

Stack Operations using Linked List

Stack methods – Push, Pop, Peek, Delete, and isEmpty using Linked List

Time and Space Complexity of Stack using Linked List

When to Use/Avoid Stack

Stack Quiz

Section 16 – Queue

What is a Queue?

Linear Queue Operations using Array

Create, isFull, isEmpty, and enQueue methods using Linear Queue Array

Dequeue, Peek and Delete Methods using Linear Queue Array

Time and Space Complexity of Linear Queue using Array

Why Circular Queue?

Circular Queue Operations using Array

Create, Enqueue, isFull and isEmpty Methods in Circular Queue using Array

Dequeue, Peek and Delete Methods in Circular Queue using Array

Time and Space Complexity of Circular Queue using Array

Queue Operations using Linked List

Create, Enqueue and isEmpty Methods in Queue using Linked List

Dequeue, Peek and Delete Methods in Queue using Linked List

Time and Space Complexity of Queue using Linked List

Array vs Linked List Implementation

When to Use/Avoid Queue?

Section 17 – Cracking Stack and Queue Interview Questions (Amazon, Facebook, Apple, Microsoft)

Question 1 – Three in One

Question 2 – Stack Minimum

Question 3 – Stack of Plates

Question 4 – Queue via Stacks

Question 5 – Animal Shelter

Section 18 – Tree / Binary Tree

What is a Tree?

Why Tree?

Tree Terminology

How to create a basic tree in Java?

Binary Tree

Types of Binary Tree

Binary Tree Representation

Create Binary Tree (Linked List)

PreOrder Traversal Binary Tree (Linked List)

InOrder Traversal Binary Tree (Linked List)

PostOrder Traversal Binary Tree (Linked List)

LevelOrder Traversal Binary Tree (Linked List)

Searching for a node in Binary Tree (Linked List)

Inserting a node in Binary Tree (Linked List)

Delete a node from Binary Tree (Linked List)

Delete entire Binary Tree (Linked List)

Create Binary Tree (Array)

Insert a value Binary Tree (Array)

Search for a node in Binary Tree (Array)

PreOrder Traversal Binary Tree (Array)

InOrder Traversal Binary Tree (Array)

PostOrder Traversal Binary Tree (Array)

Level Order Traversal Binary Tree (Array)

Delete a node from Binary Tree (Array)

Entire Binary Tree (Array)

Linked List vs Python List Binary Tree

Section 19 – Binary Search Tree

What is a Binary Search Tree? Why do we need it?

Create a Binary Search Tree

Insert a node to BST

Traverse BST

Search in BST

Delete a node from BST

Delete entire BST

Time and Space complexity of BST

Section 20 – AVL Tree

What is an AVL Tree?

Why AVL Tree?

Common Operations on AVL Trees

Insert a node in AVL (Left Left Condition)

Insert a node in AVL (Left-Right Condition)

Insert a node in AVL (Right Right Condition)

Insert a node in AVL (Right Left Condition)

Insert a node in AVL (all together)

Insert a node in AVL (method)

Delete a node from AVL (LL, LR, RR, RL)

Delete a node from AVL (all together)

Delete a node from AVL (method)

Delete entire AVL

Time and Space complexity of AVL Tree

Section 21 – Binary Heap

What is Binary Heap? Why do we need it?

Common operations (Creation, Peek, sizeofheap) on Binary Heap

Insert a node in Binary Heap

Extract a node from Binary Heap

Delete entire Binary Heap

Time and space complexity of Binary Heap

Section 22 – Trie

What is a Trie? Why do we need it?

Common Operations on Trie (Creation)

Insert a string in Trie

Search for a string in Trie

Delete a string from Trie

Practical use of Trie

Section 23 – Hashing

What is Hashing? Why do we need it?

Hashing Terminology

Hash Functions

Types of Collision Resolution Techniques

Hash Table is Full

Pros and Cons of Resolution Techniques

Practical Use of Hashing

Hashing vs Other Data structures

Section 24 – Sort Algorithms

What is Sorting?

Types of Sorting

Sorting Terminologies

Bubble Sort

Selection Sort

Insertion Sort

Bucket Sort

Merge Sort

Quick Sort

Heap Sort

Comparison of Sorting Algorithms

Section 25 – Searching Algorithms

Introduction to Searching Algorithms

Linear Search

Linear Search in Python

Binary Search

Binary Search in Python

Time Complexity of Binary Search

Section 26 – Graph Algorithms

What is a Graph? Why Graph?

Graph Terminology

Types of Graph

Graph Representation

The graph in Java using Adjacency Matrix

The graph in Java using Adjacency List

Section 27 – Graph Traversal

Breadth-First Search Algorithm (BFS)

Breadth-First Search Algorithm (BFS) in Java – Adjacency Matrix

Breadth-First Search Algorithm (BFS) in Java – Adjacency List

Time Complexity of Breadth-First Search (BFS) Algorithm

Depth First Search (DFS) Algorithm

Depth First Search (DFS) Algorithm in Java – Adjacency List

Depth First Search (DFS) Algorithm in Java – Adjacency Matrix

Time Complexity of Depth First Search (DFS) Algorithm

BFS Traversal vs DFS Traversal

Section 28 – Topological Sort

What is Topological Sort?

Topological Sort Algorithm

Topological Sort using Adjacency List

Topological Sort using Adjacency Matrix

Time and Space Complexity of Topological Sort

Section 29 – Single Source Shortest Path Problem

what is Single Source Shortest Path Problem?

Breadth-First Search (BFS) for Single Source Shortest Path Problem (SSSPP)

BFS for SSSPP in Java using Adjacency List

BFS for SSSPP in Java using Adjacency Matrix

Time and Space Complexity of BFS for SSSPP

Why does BFS not work with Weighted Graph?

Why does DFS not work for SSSP?

Section 30 – Dijkstra’s Algorithm

Dijkstra’s Algorithm for SSSPP

Dijkstra’s Algorithm in Java – 1

Dijkstra’s Algorithm in Java – 2

Dijkstra’s Algorithm with Negative Cycle

Section 31 – Bellman-Ford Algorithm

Bellman-Ford Algorithm

Bellman-Ford Algorithm with negative cycle

Why does Bellman-Ford run V-1 times?

Bellman-Ford in Python

BFS vs Dijkstra vs Bellman Ford

Section 32 – All Pairs Shortest Path Problem

All pairs shortest path problem

Dry run for All pair shortest path

Section 33 – Floyd Warshall

Floyd Warshall Algorithm

Why Floyd Warshall?

Floyd Warshall with negative cycle,

Floyd Warshall in Java,

BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,

Section 34 – Minimum Spanning Tree

Minimum Spanning Tree,

Disjoint Set,

Disjoint Set in Java,

Section 35 – Kruskal’s and Prim’s Algorithms

Kruskal Algorithm,

Kruskal Algorithm in Python,

Prim’s Algorithm,

Prim’s Algorithm in Python,

Prim’s vs Kruskal

Section 36 – Cracking Graph and Tree Interview Questions (Amazon, Facebook, Apple, Microsoft)

Section 37 – Greedy Algorithms

What is a Greedy Algorithm?

Well known Greedy Algorithms

Activity Selection Problem

Activity Selection Problem in Python

Coin Change Problem

Coin Change Problem in Python

Fractional Knapsack Problem

Fractional Knapsack Problem in Python

Section 38 – Divide and Conquer Algorithms

What is a Divide and Conquer Algorithm?

Common Divide and Conquer algorithms

How to solve the Fibonacci series using the Divide and Conquer approach?

Number Factor

Number Factor in Java

House Robber

House Robber Problem in Java

Convert one string to another

Convert One String to another in Java

Zero One Knapsack problem

Zero One Knapsack problem in Java

Longest Common Sequence Problem

Longest Common Subsequence in Java

Longest Palindromic Subsequence Problem

Longest Palindromic Subsequence in Java

Minimum cost to reach the Last cell problem

Minimum Cost to reach the Last Cell in 2D array using Java

Number of Ways to reach the Last Cell with given Cost

Number of Ways to reach the Last Cell with given Cost in Java

Section 39 – Dynamic Programming

What is Dynamic Programming? (Overlapping property)

Where does the name of DC come from?

Top-Down with Memoization

Bottom-Up with Tabulation

Top-Down vs Bottom Up

Is Merge Sort Dynamic Programming?

Number Factor Problem using Dynamic Programming

Number Factor: Top-Down and Bottom-Up

House Robber Problem using Dynamic Programming

House Robber: Top-Down and Bottom-Up

Convert one string to another using Dynamic Programming

Convert String using Bottom Up

Zero One Knapsack using Dynamic Programming

Zero One Knapsack – Top Down

Zero One Knapsack – Bottom Up

Section 40 – CHALLENGING Dynamic Programming Problems

Longest repeated Subsequence Length problem

Longest Common Subsequence Length problem

Longest Common Subsequence  problem

Diff Utility

Shortest Common Subsequence  problem

Length of Longest Palindromic Subsequence

Subset Sum Problem

Egg Dropping Puzzle

Maximum Length Chain of Pairs

Section 41 – A Recipe for Problem Solving

Introduction

Step 1 – Understand the problem

Step 2 – Examples

Step 3 – Break it Down

Step 4 – Solve or Simplify

Step 5 – Look Back and Refactor

Section 41 – Wild West

Download

To download more paid courses for free visit course catalog where  1000+ paid courses available for free. You can get the full course into your device with just a single click. Follow the link above to download this course for free. 

[ciarawritesmarvel]

baker’s dozen - [bucky x reader]

Pairing: Bucky Barnes x Reader

Word Count: 2.5k

Warnings: like it’s just fluff i don’t know what to tell you

A/N: I’m in such an autumnal mood and this is the result of that. As always, let me know what you think and I love you all v v much :)

masterlist in my bio and tags in the reblog! please drop me an ask to be added to any tag lists!

---

September 1st - the first day of autumn. And incidentally, one of your favourite days of the year.

In the bakery, the swirling smell of pumpkin and cinnamon was thick in the air and there was a rising heat from the ovens that forced you to shrug off the oversized cardigan you’d worn to work this morning. There was definitely flour on your forehead, you could feel the niggling sensation, but there was so much flour and batter on your hands and forearms that any attempt to remove it would only make the problem worse. If you took a breath through your mouth, you could taste the rich dark chocolate.

You grinned, and took a deep breath through your mouth.

“Knock knock!” came an all too familiar voice, along with a knock on wood that really would’ve done the job without the verbalisation.

You grinned regardless and rushed over to the side door to let the voice in.

“Happy autumn!” you exclaimed happily upon sight, arms stretched wide in both a gesture and an invitation for a hug. Bucky laughed.

“Happy autumn yourself,” he said back, far more mellow as he moved inside and hugged you to his frame with one arm, the other carrying something that you had to step backwards to see.

“Is that-?”

“The finest hot chocolate in all the land? Why yes it is. Special drink for a special day,” he said, handing you the packet and you thanked him profusely, walking over to load it into the hot chocolate machine.

“You want one now?”

“I’ll make one for the both of us,” Bucky explained, heading over to the whiteboard and reading the schedule you’d written on there, with the times of everything in the oven so far and everything yet to be baked, “You’ve been busy already I see?”

There was a hint of worry in his tone, as there always was when he got to work on time and found that you’d been in for a few hours already. You waved him away, wiping your hands on the towel over your shoulder.

“I couldn’t sleep anyway, thought I’d come in and get a headstart. You know excited I get about today!”

“I do, doll,” he chuckled, grabbing his stripey apron from the peg, the peg that had his name written in glittery gel pen above it, upon your insistence. He made the hot chocolates in record time, threw in a few marshmallows and swirled an expertly crafted swirl of cream on top, “For the lady.”

He handed it to you with a flourish and you took it with a grateful thanks, taking an immediate sip and laughing as you felt yourself gain a cream moustache. Looking at Bucky and seeing he had the exact same one left the two of you in fits of giggles, until you winked at him and licked away the cream.

Bucky gulped.

A hop back over to the board and another glance at your schedule had him getting to work on the snickerdoodles that you had been about to start on.

You switched your attention to the maple cupcake frosting that had to be made for the current batch cooking away in the oven. Just as you were adding a splash of water to the mixture in one of your industrial sized bowls, you felt Bucky’s presence behind you and smiled as you turned to him.

“Can I help you?”

“That’s exactly what I was going to ask,” he grinned, holding up a cloth and your eyes narrowed suspiciously to which he simply rolled his eyes and said - “Hold still.”

He moved closer with a single step. Lifting the cloth to your forehead, he paused for long enough for you to stop him if you wanted to before he gently wiped away the flour on your head, with soothing circular strokes and eyes that sparked with concentration. Your gaze flittered downward and you briefly noticed his teeth grazing his bottom lip before you forced yourself back up to his eyes.

“There,” he said softly, almost sweetly and you smiled up at him only briefly before he’d gone and the warmth that came with him went too. Probably a good thing, you reminded yourself. This kitchen was already warm enough.

You continued with the frosting and Bucky resumed work on his snickerdoodles. A quick check of the clock told you there was an hour until opening time. You were only a little behind schedule.

“How quickly do you think we’ll sell out today?”

“I’m going for a record two hours,” Bucky replied, using a cookie cutter on his snickerdoodle mix.

“That would be amazing!” your voice betrayed your excitement, “I suppose it depends how quickly we can get through the queues.”

“We get quicker every year, Y/N,” he reminded you, “This is going to be our best September 1st yet, I just know it!”

You knew, somehow, that he had turned to you and so you glanced over your shoulder and grinned at his hopeful expression.

September 1st may not have been a big day in most calendars, but it was one of the biggest in yours. Every year, you and Bucky closed the bakery on August 28th, took one day off entirely and then set to work preparing for the new Autumn Opening. You removed all of the pastels, iced teas and fruity flavours from your menu and started fresh with warm spices, hot beverages and freshly baked snickerdoodles. It was a quick turnaround but one you loved nevertheless.

Autumn was the best time of year.

It meant coming into work in cozy jumpers, but no cumbersome coat, with a styrofoam cup warming chilly fingers. It meant reds, oranges and yellows came alive within the display counters. It meant cinnamon and chocolate lingering on your tongue throughout the day from that bit of batter you couldn’t help but try.

Just as you were getting into work mode and blocking out everything around you, even wistful thoughts of fall, music began playing from the radio in the corner and you didn’t need to look up from your work to know who was the culprit. The soft sounds of the 1940s did that for you.

“Music helps me work,” Bucky said by way of explanation and you shook your head fondly.

“I know. And you know that as long as it’s soft and slow, I’m all for it.”

Bucky made a show of twirling around to you and squeezing your shoulder before twirling off to his end of the kitchen. You didn’t look up at him, because you were concentrating, but also for fear of looking too fond or glancing too furtively, a fear that often plagued your mind as of late. The fear that any look in his direction might betray you, that any glance might let him know.

On the other hand, what with your hopeless obliviousness, Bucky was given free rein to glance with the reckless abandon of a man in love for the first time in a very long time.

The former Avenger had fallen in love with his new lifestyle almost as much as he had fallen in love with you. After a few years of being one of Earth’s mightiest heroes, Bucky realised he hadn’t given nearly enough time to being one of Earth’s actual citizens. So, with Steve’s hearty blessing and Tony’s gift of a modest apartment in the heart of Brooklyn, he set out on his own for the first time in his life and learned how to live a normal life.

It was about a month into this normal life that he met you.

He’d been walking along the street, an early morning walk he often took to get him out into the world, dreadfully hungry and too far from home to simply wait. A distinctly sweet smell came at just the right time and without much of a second thought he was entering the bakery and came face to face with...nobody. He took a longing glance at the array of cakes and biscuits on display then edged further into the shop, looking around for anyone who may be in charge.

All of a sudden, you popped up. Quite literally, as you appeared from behind the counter, pushed your hair back into place and put on your best smile, which ended up only looking 60% manic.

“Hello! Welcome to Baker’s Dozen! How can I help you?”

And somehow, Bucky couldn’t help himself.

“Are you okay?”

You blinked, the question completely taking you by surprise. You quickly collected yourself though, to your credit, and deflated before his very eyes.

“Well, no. I’m just having a bit of a breakdown-” you looked back down at the floor longingly as if you wished you could get back down to it and the thought crossed his mind that you might have been lying down on it, defeated. You quickly bounced back though and your customer service ready smile returned in a flash, “-but it’s nothing to worry about! Can I get you something?”

But Bucky was far too immersed now to go back. As he looking back on the memory now, he realises that even then his subconscious had noticed the kindness of your smile, however tired it was, and he could see the beauty of your past features in his minds’ eye. Though he would never have known it then, he knew now that he had been incredibly attracted to you, almost magnetically so, and it was that which drove him to push the conversation.

“You want to talk about it?”

“...Really?”

Bucky shrugged. Leant an elbow on the counter.

“I’ve got nowhere to be.”

You hesitated, wondering whether or not to confide in this total stranger of a customer, one that you’d never even seen in your bakery before, but whose eyes betrayed a person of trust, a person that seemed vaguely and pointedly familiar.

“It’s just that - well, my new hiring called this morning to say she no longer wanted the job, on the day she was supposed to start,” you laughed, hollow and empty, a laugh of someone who feels they have nothing left to laugh about but needs to laugh anyway, “So unless you know a keen amateur baker, I’m afraid there’s no point in talking about it.”

You sighed, raising a hand to your face and rubbing down it with a harsh touch.

And it didn’t take Bucky long from there to awkwardly offer up his services, for a peg to be cleared for his apron, for him to up to his elbows in cupcake batter in the back kitchen with a recipe by his side and you floating in and out from out front.

Nothing much had changed since then. And it had been three years.

You were still the main face at front of shop, with Bucky coming in and out with fresh batches and special smiles for regular customers used to seeing him around. One difference was that you now knew where you had recognised him from, of course, but none of his past was even a slight concern once you’d tasted his brandy snap recipe. You’d been joined at the hip since, an inseparable pair, an unstoppable team, a force to be reckoned with.

Having a former Avenger around only helped your business flourish, anyway.

You finished your final swirl of frosting with your piping bag and carried the tray out to the front of house, already seeing a small line of people outside the door fifteen minutes early. The mere sight made you grin and run back into the kitchen.

“There’s already people, Buck!” you nearly squealed, running over to him and jumping on his back, laughing at his little sound of indignation at the action. He quickly regained his bearings though, and spun on the spot until you fell from his back and back onto the floor, feet stumbling slightly and he held out a hand ready to steady you just in case.

“That’s great, Y/N,” he said sincerely, his smile radiating, “I think we’ll have a couple of high profile customers this morning too.”

He waggled his eyebrows and you hit him on the chest as you giggled. Bucky often called in a few of his Avenger friends on new season opening days, just to create a buzz and add to media attention. At first, you resented it, not wanting to use him for fame or anything of the like, but when you’d been assured that they actually loved what you two baked anyway, you didn’t mind so much anymore.

The renewed energy helped you to carry all the baked goods you’d made this morning and over the past days into the front area, arranging them neatly in cabinets and windows, exchanging waves and smiles with those you could see waiting in line through the glass out front. Bucky finally took his fresh snickerdoodles out of the oven just in time and brought them in, filling the room with the smell of sweet cinnamon and you helped him arrange them on a specific section you’d left empty especially.

“Finally finished,” you muttered happily, startling just a little at sudden arms encircling your waist from behind and a firm chest pressed against your back. Your breath hitched.

“You have no idea-“ a little content sigh in the middle of your sentence as you shuffled your head so it sat comfortably against his chest, “-how glad I am you asked me if was okay three years ago.”

“Well, I could hardly let you lying on the floor slip past me.”

“You could have. But you didn’t,” you replied happily, squeezing his forearms and turning around in his hold. You were far too close to him to be doing it, but the excitement of the moment and the tenderness held after tears of such close friendship made you throw caution to the wind as you leaned in and kissed him on the cheek, lingering more than you should, “Love you, Buck.”

He paused. You were already moving on, pulling away from his hold to go over to unlock the door, not wanting to acknowledge the moment for what it was and he decided to go along with that. He smiled fondly to himself. One day.

“Love you too, doll.”

The customers began flooding in and Bucky spotted Nat and Sam in the throngs of the crowd. He shot them a quick wave and a smile, turned to you to do the same then cracked on with the job at hand, contenting himself with his loving glances of reckless abandon for now.

[bmharwani]

This video tutorial is on how to create a circular queue using array. This tutorial on data structures is for beginners and will make you understand how to implement a circular queue, how to create a circular queue in c using array and circular queue program in c using array. You will understand the complete program and will learn about, circular queue tutorialspoint, circular queue in data structure pdf along with circular queue example. By the end of video you will be knowing, circular queue in C using Array, circular queue in data structures and C program to implement circular queue operations. The tutorial explains with figures at each step and will make you understand the program to implement circular queue using arrays in C, circular queue implementation in C using array and circular queue implementation using array in C along with circular queue algorithm and insertion and deletion in circular queue in data structure too. You can download the program from the following link: http://bmharwani.com/circularqueuearr.c To see the video on linear queue, visit: https://www.youtube.com/watch?v=_OD_BHiDTWk&t=10s To understand pass by value and pass by reference, visit: https://www.youtube.com/watch?v=NIV7M4MSLs4&t=18s To see the video on circular linked list, visit: https://www.youtube.com/watch?v=lg-n_NHAeZk&t=1s For more videos on Data Structures, visit: https://www.youtube.com/watch?v=lg-n_NHAeZk&list=PLuDr_vb2LpAxVWIk-po5nL5Ct2pHpndLR To get notification for latest videos uploaded, subscribe to my channel: https://youtube.com/c/bintuharwani To see more videos on different computer subjects, visit: http://bmharwani.com

[programmingsolver]

Lab 3: Queue Implementations

Goals: * Implement a Queue class using a link-based data structure: queue_linked.py * Implement a Queue class using a circular array: queue_array.py   * In the first implementation, you will use a linked structure similar to the linked structure used in implementing the Stack ADT (i.e. create a Node class).  In this case, there must be a way to add items to the back of the list and remove items…

[sunbeaminfo]

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.

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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:

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[fortunatelycoldengineer]

Test Your Knowledge: Quiz Challenge!!! 📝🧠

Which one of the following is the overflow condition if a circular queue is implemented using array having size MAX?🤔

For the explanation of the right answer, you can check Q.No. 29 of the above link. 📖

[myprogrammingsolver]

Homework 5 Stacks and Queues

Overview 1. Delete, re-adjust, and detect loop in a linked list. A queue is a container of objects (a linear collection) that are inserted and removed according to the first-in first-out (FIFO) principle. Both of them can be implemented using Arrays or LinkedLists. In this assignment, stacks are implemented using Linked Lists and Queues are modified to a circular queues implemented using…

[felord]

CPE202 Lab 3-Queue implementations Solved

CPE202 Lab 3-Queue implementations Solved

  Implement a Queue class using a circular array: Class QueueArray Implement a Queue class using a linked data structure: Class QueueLinked Before doing this lab make sure to read over section 3.10, 3.11, 3.12 carefully. You will not be doing the implementation as described in section 3.12, but it will help you understand the underlying concepts. The first implementation you will use a linked…

[alliancefurnishings2]

7 Ways To Store More With Your Coffee Table

Besides completing the look of your living room, a coffee table can in-line plenty of storage space.

Beholding the scarcity of storage spaces in newly-styled homes, the furniture market is now getting filled with multi-utility furniture units that can be used for storing stuff.

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If you’re in the quest of a coffee table that offers good looks as well as storage space, we’ve got you some options. Dive in the table to know about these coffee tables today!

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The biggest attraction in this coffee table is the two storage drawers for storing stuff. All you have to do is, just load the piece with all of your goods, then slide them out of sight.Beneath the two drawers, there is plenty of open space where you can stack-up your books, magazines, newspapers, etc. To buy this coffee table, browse through the collection of liberty furniture.

A lift top, storage drawers, and a rich finish can make this table stand out for your home. Other than this, if you love coordinating sets, this storage coffee table also has matching end tables and cocktail tables available.

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The Brookhaven round cocktail table is crafted from hardwood solids with cherry veneers. It features a distressed medium clear cherry finish.

This table can easily be found by browsing through the collection of Hooker Furniture Online. The table offers a big circular room that can be well used for keeping your kids’ toys, your books, electronic devices like mobiles, remotes, etc.

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·       Summerville 171-OT1010 Rectangular Cocktail Table (Occasional Tables - Cocktail Tables)

This Summerville Rectangular Cocktail Table by Liberty House Furniture is made of rubberwood solids and Pine veneers in a two-toned design that shows a soft whitewash finish with wire brushed gray tops. It perfectly works with any interior.

Besides making any room appealing, the ground floor of the table can be used for storing your kids’ toys, cushions etc. Moreover, you can store a lot of same-sized items in neat stacks. The effect can be quite visually appealing plus will be easy to maintain.

·       West End 193-OT1010 Oval Cocktail Table (Occasional Tables - Cocktail Tables)

This West End Oval Cocktail Table by Liberty Furniture is made of Pine solids and veneers in a gray wash Pine with powder coated satin finish. It features an urban style with a natural feeling to make your living area into a modern space.

The table provides two walls to keep your stuff safe when you are organizing backyard parties. It is perfect for blankets, cushions, barware, or other occasional use items.

·       Lake House 210-OT1015 Cocktail Table (Occasional Tables - Cocktail Tables)

This Lake House Cocktail Table can be bought from Liberty Furniture online and is made of select hardwoods and oak veneers with multi-step hand-applied Oak Finish. It features planked tops and tapered legs with veneered shelves as well as lift top cocktail.

It is a one-of-a-kind coffee table that you can buy from Liberty Furniture Online. It reaches new heights with its rectangular shape and lifts top. With this storage solution, you not only get a coffee table but a spontaneous work station.

·       Lake House 210-OT1010 Cocktail Table (Occasional Tables - Cocktail Tables)

This Lake House Cocktail Table is made of select hardwoods and oak veneers with multi-step hand-applied Oak Finish. It features planked tops and tapered legs with veneered shelves as well as wood-on-wood drawers.

The worth noticing in this table is its lift top, storage drawers, and a rich finish made this design stand out to us.

These were some of the coffee tables that are not only visually appealing but also offer immense storage space.

If you want to buy a coffee table with a storage area, then look no further than Alliance Furnishings. We have a long array of coffee tables of different price points that will fit every home. Visit our website to browse through our collection today.