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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.
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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:
#Data Structures Algorithms#Programming Courses#Sunbeam Institute Pune#Java Training#Coding Classes#Pune IT Training
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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!
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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…
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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!
#programming#tutortacademy#tutort#DSA#data structures#data structures and algorithms#algorithm#interview preparation#interview tips
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In His Lap
A/N: Written for @the-ss-horniest-book-club Drunk Drabble prompt by anon:

I am so sorry that I don’t seem to be able to grasp the concept of a drabble. I literally started writing and ended up with 1.3k oopsy!
There will probably be a smutty follow-on from this but this one is more soft and fluffy. Link to follow-on smut piece at the bottom.
Warnings: plus size reader, mentions of a break-up, theme park ride related adrenaline, hints of horniness and mutual attraction, Bucky is the proactive type ;)

Alternate Universe; a new theme park you’d been itching to go to with your boyfriend Rob had opened a few months ago. Themed around space, physics and quantum mechanics, it was right up your street. In fact, you just about had a nerdgasm when you managed to get tickets, one for you, Rob and your two best friends (Zara and Rachel). You had booked the weekend off work, Rob planned to drive and you were going to stay in a hotel nearby to get best use out of your weekend passes. And even when Rachel dropped out, you were beyond excited!
Only, You and Rob weren’t together now and you and Zara weren’t friends anymore, and yes the two cases were related. Cheating scum and back-stabbing snakes belonged together, you thought bitterly. But that hadn’t stopped you from going and you were determined to enjoy this trip even if you were alone, after all, Alternate Universe was on your bucket list.
You spent the whole morning following your carefully constructed plan of how to get around as many rides as possible and you’d had an amazing time despite feeling a little self-conscious squeezing into the seats on some of the rides and not collecting many memorabilia photo’s because, well, it was just you. You visited rides called Quarks, Entropy, The Black Hole, Terminal Velocity, Newton’s Cradle and were queuing for The Photon.
The warnings for this ride were off the charts, more strict than normal on account of the fact that the carriages of this rollercoaster freely orbited the track on a circular rail. You were both nervous and excited.
You swallowed dryly when you reached the front of the queue and you were told that you could only ride in pairs. Everyone around you were in even numbers and a call was put out for any solo riders to step forward. Your palms grew sweaty and your heart raced. Already embarrassed by the attention you were drawing, you hoped people weren’t looking at you thinking you were too large for this ride.
Finally there was a murmur, someone from the back was being escorted through the throngs of people to the front, a tall man in dark jeans and a red Henley, with long-ish hair and shoulders broad enough to make even you look petite. You did a double-take – he was stunning with sharp blue eyes and a strong jaw covered in soft-looking stubble.
The seat was a cushioned bench where riders would sit with their feet on either side, one in the back and one in front.
“You wanna take the front? I’m a bit,” you gestured to your plumpness, “round.”
“I’ll take the back.” The man’s eyes twinkled as he stepped in ahead of you and, once seated, offered his hand to help you inside. “I’d hate to squash you.” His breath puffed against your ear sending a tingle down your spine.
“I’ll try to sit forward.” You reassured him, worried you’d break his ribs if you put too much weight on him.
When the safety bars were pushed into place you were slammed back against his chest with a squeal and he laughed.
“Sorry.” You whimpered.
“Hey,” he squeezed your shoulder gently, “just relax. I’m good back here. You just enjoy yourself.”
You didn’t know what to say so you nodded and tried not to lean on him too much while you waited for the other carriages to be loaded.
“I’m Bucky, by the way,” he said softly.
“Y/n.” You glance over your shoulder to see his lips pull up at one side in a devastatingly cute smile. Your mouth went dry and you tried to control your breathing. You did not just instantly develop a crush on a complete stranger.
“It’s a pleasure to meet you.” He reached to shake your hand. “So, if you don’t mind me asking, what’s a sweet lady like you doing here all on her own?” You didn’t mind as much as you thought you would, so you told him your story, earning a curse from him and a promise of broken legs for your ex.
The mechanical lock on the bars pushed the padded brace harder against your chest, squashing you back further against the solid wall of man behind you. You groaned at the feel of his thighs on either side of your hips and his body heat penetrating through your t-shirt.
You squeaked when the ride kicked in, the ratchet picking up the contact and pulling your carriage forward with a jolt.
“You ok there, sweetheart?” Bucky seemed genuinely concerned.
You nodded silently, not trusting your voice right then. When the carriage reached the top the carriage would be in free motion, it would swing upside down and all sorts as it followed the tracks at high speed. You began to shake, adrenaline flooding your system.
“Hey,” Bucky soothed, resting a hand on your shoulder to lean you back the few inches that remained between you, “I got you, just relax, ok?”
You did as he asked and laid back against him, not worrying about crushing him, enjoying the feel of him at your back. You might have sighed when the carriage neared the top of the incline, the view was spectacular.
“So beautiful.” You sighed.
“Tell me about it,” he chuckled, “and the view ain’t half bad either.”
For a split second you forgot where you were, the perilous drop in front of you loomed and as the feeling of free-fall kicked in you gasped and tried to back up.
The sound of Bucky’s moan was lost under the gasps and giggles you made as the ride whipped you around and spun you upside down. Bucky’s hands were on your hips encouraging you to lean with him to spin the carriage upside down at every opportunity. Your shrieks and laughter spurring him on.
Three minutes and fifty seconds of pure joy and excitement later the carriage air-braked, sending you forward into the restraints but Bucky held himself back so as not to crush you.
“That was so much fun! I really wanna do that again!” You laughed, looking back over your shoulder to see a strange look on his face. You worried maybe you’d hurt him. “Sorry if I hurt you.”
“You didn’t hurt me, sweetheart,” Bucky said, giving your hip a squeeze, “but I’m feelin’ some kind of way and I’m tryin’ to be a gentleman about it.” He shifted his hips away from your lower back slightly.
Your mouth flapped awkwardly and you didn’t know what to say.
The bars suddenly released themselves and you jumped to your feet trying not to meet his gaze, which was intently fixed on you. You had one foot out of the carriage when he reached for your hand.
“Before you go and I never see you again, I gotto ask,” Bucky locked eyes with you and your heart jumped a mile, “I know we just met but I’d really like it if you’d have lunch with me.”
“Why would you want…?”
“Sweetheart,” he stood and offered you his elbow in a gentlemanly gesture that was so far removed from what you were used to that you couldn’t help but accept. “Trust me when I say that I want to, ok?”
“Ok,” you agreed with a firm nod, “but I have my day all mapped out, and for lunch I was gonna go to Schrodinger’s cat café.” You bit your lip nervously as if it was some cringy thing he’d never agree to.
“Deal,” Bucky’s grin faded to hunger as he watched your mouth, “you’re really somethin’ else, you know that right?”
You simpered as he led you away.
“I can’t believe you literally fell right into my lap.”

Follow -on smutty drabble: Ride of Your Life >>>
#hbc drunk drabbles#bucky barnes x reader#bucky barnes fanfic#bucky barnes fan fiction#bucky barnes x you#not a drabble#im sorry#my writing#plus size reader#cloudy's writing
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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
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Algorithms
Hi there!, Find here algorithms of implementing simple queue, using linked list and circular queue//
https://timecomplexity1.blogspot.com/2021/05/simple-queue.html
https://timecomplexity1.blogspot.com/2021/05/queue-using-linked-list.html
https://timecomplexity1.blogspot.com/2021/05/simple-queue-2.html
https://timecomplexity1.blogspot.com/2021/05/circular-queue-implementation.html
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ias interview Q&A
The personality test for the remaining 623 candidates who were successful in UPSC Mains 2019 had resumed from 20th July 2020. UPSC CSE Interview 2019 for these candidates was earlier scheduled from 23 March 2020 onwards but was put on hold amid the COVID-19 outbreak. For the final round of the IAS Exam, the commission came up with a set of arrangements for the conduct of UPSC IAS Interview 2019 with all safety precautions, which you can read about below:
The UPSC Interview 2019 took place between 20th July and 30th July 2020 Considering the partial running of trains, the commission had reimbursed the lowest ‘to and fro airfare’ to the candidates who attended the UPSC PT. e-Summon letters were provided to the candidates using which they were allowed to move in or move out of the restricted zones, to attend the IAS Interview.
Candidates were also provided with lodging and transport facilities by the UPSC The Personality Test panel and the interviewee were given Sealed Kit (face shield, gloves, sanitizer) to ensure safety while conducting the interview. The highest standards of health safety and precautions were taken up by the commission to successfully conduct the UPSC Interview 2019. Following the successful completion of Mains and Interview stages; on 4th August 2020, the commission has declared the UPSC Civil Services Final Results 2019. Candidates can fetch the result in the linked article.
UPSC IAS Interview 2019
The final stage of the Union Public Service Commission (UPSC) Civil Services Exam is the IAS interview or the UPSC Personality Test. The IAS personality test for UPSC 2019 had started from February 17, 2020, and was scheduled to run till April 3, 2020. But with the outbreak of Covid-19, the interview round was postponed and later resumed from 23 July onwards. The IAS Interview was finished by 30th July 2020.
Candidates preparing for UPSC Prelims can check the below-mentioned important links to brush up their concepts:
UPSC Previous Year Question Papers
Top 5 Magazines for UPSC UPSC Notes PDF IAS Mock Tests NCERT Notes IAS Topper
The questions in the IAS Interview are more like a discussion between the UPSC board and the aspirant.
Generally, an IAS interview lasts for about 20 minutes and aspirants face interview questions that cover a broad range of topics.
UPSC Mains exam was conducted from September 20, 2019 and the UPSC Personality Test 2019 ended on 30th July 2020. The IAS interviews for the exam year 2018 started on February 9, 2019, and continued till March.
Facing the UPSC IAS interview panel is a daunting task but armed with facts and information, a candidate with confidence and appropriate soft skills can surely ace the interview.
UPSC – IAS Interview Details
Venue: Union Public Service Commission (UPSC), Dholpur House, Shahjahan Road, New Delhi-110069
Timing: Two sessions per day ( Forenoon session 9:00 AM onwards, Afternoon session 1:00 PM onwards). It will be mentioned on the candidate’s call letter.
Dress Code: Basic formals suffice (dark trousers with a light-coloured plain shirt for men and saris or ‘churidar’ for women)
Maximum Marks: 275 (it seems less when compared to Mains but scoring high marks here can be the path to one’s service/cadre of choice).
Vacancies: 896 (as per UPSC 2019 notification)
Aspirants can check the detailed UPSC Notification at the linked article.
UPSC IAS Interview Process
Aspirants can read below the first-hand account of the UPSC IAS Interview experience:
Candidates usually reach the venue with some time in hand, and the security in front of UPSC organizes them in a queue and does the preliminary verification (interview call letter and cross-checking the candidate’s name on their list). It is recommended to carry some government-issued identification. After the security ushers the candidates inside the hallowed gates of the UPSC; they are required to check-in their bags and mobile phones. The candidates are then made to sit in an entrance hall where the actual verification of documents (education documents, caste certificates) takes place. Usually, it is a smooth process and the staff is polite and ready to help. There are also newspapers along with tea/water and biscuits for the candidates. Candidates are also handed out a questionnaire to fill (basic background info for UPSC’s research and analysis purposes).
Once the documents are submitted, the candidates are given the number of the panel and the sequence number of the order in which they will appear before the panel. For e.g. a candidate might be told he/she has to appear before the panel number 5, and for that panel, he/she will be going in as the 3rd individual for that session. They don’t disclose the name of the panel chairperson at that time and it is pointless to ask that.
The somewhat visibly nervous candidates are then escorted to a large circular hall in the centre of the building complex. Here, the candidates are grouped and seated based on their panel number (all the people scheduled to appear before the panel number 5 will sit in a group and so on). Also, this is where a few staff members will hand out forms for travel reimbursement for out-of-town candidates (they refund for train travel in 2nd class).
In one session, a panel takes the interview of 5-6 aspirants. So, initially, the hall is quite full (5-6 panels in all, hence 30-35 odd candidates sitting and waiting). Usually, an interview lasts for about 20 minutes, although there is no time limit as such and people have recounted experiences of being part of even 40-minute interview.
One by one, names are called and candidates make their way to their respective panels (after another security check where one has to leave any remaining documents/papers/pen). Usually, a staff member escorts one from here to the room of the panel chairperson.
So, candidates usually reach the venue around 8:45 AM for the forenoon session. After the formalities, the first candidate to appear before the panel will be called around 10:15 AM. Depending on one’s sequence number, one can estimate the waiting period. Hence, it is essential that you don’t arrive on an empty stomach or sleep-deprived.
Tackling the actual UPSC interview is a completely different challenge. It’s a unique experience for everyone, even for experienced candidates but there are some essential things which candidates need to inculcate before they face the panel.
Broadly speaking, a polite, humble candidate who is calm and confident has the best chance to score high marks irrespective of the panel chairperson, the medium of the interview and the number of questions answered.
Check the linked article for detailed preparation information and study material for IAS 2020.
Read on to know more about IAS toppers and relevant interview questions one can expect.
IAS Interview Questions
The UPSC interview questions test the candidates’ mental acuity, general awareness, social etiquette, and the overall personality. The questions in IAS interview are not meant to solely ascertain the theoretical knowledge so instead of mugging up, candidates should focus on their soft skills.
The IAS interview questions faced by Civil Service aspirants follow a similar pattern. Let’s look at a few of the broad categories of questions in the IAS interview and how candidates can prepare for them.
IAS interview question on Introduction
Tell us briefly about yourself. Tell us about your hometown. What is the meaning of your name (first name/ surname) Tell us about your family To answers questions related to self-introduction in IAS interview, which are open-ended and straight forward, aspirants should prepare 30-40 second coherent responses. These questions are merely setting a baseline i.e. the eminent UPSC board will use the information you give to ask follow-up questions.
IAS interview questions on Education
Which subjects did you study during school/graduation and do you think they are relevant to life in administration
Which subject was your favourite/least favourite?
Why did you choose ‘xyz’ college/school?
What kind of projects did you do during school/graduation/PG?
Would you call yourself an average student? Why?
The basic educational qualification for the UPSC CSE exam is graduation. The questions in the IAS interview may be oriented towards your graduation subject or the latest trends in the same. However, if you don’t know the answer to a particular question then trying to bluff your way out is not advised. It’s better to be humble and truthful.
IAS Interview questions on Current Affairs
What are today’s headlines?
Few important issues in news about India/your state/your hometown in the last few months Reading newspapers and following the daily news is important from the UPSC IAS Interview perspective as well. The IAS interview questions can refer to latest news topics. Try to avoid giving one-dimensional opinion/information unless the question is relatively straight forward. (for e.g., What does the term ‘Petrodollars’ mean?)
To know more about the Current Affairs related information, refer to the linked article.
IAS interview questions on Work profile
What were your roles and responsibilities at your job?
Why do you want to become an IAS/IPS/IFS officer?
Be prepared to answer questions about any gaps in your work history and how your previous experience is going to help in your career as an administrator.
IAS interview questions on Optional Subject
Why did you choose ‘xyz’ optional?
Why didn’t you pick your graduation subject as your optional?
Also, you might face some questions in IAS interview related to topics/theory/contemporary issues based on your optional subject.
IAS interview questions on Hobbies
Here, the nature of questions varies depending on the hobbies you have listed in your DAF. For those who have listed sports as a hobby, the Panel has asked questions on famous sports persons or/and latest results. A few candidates have also been asked to sing during the interview process.
IAS Interview Preparation Strategy
Keep following current affairs
Prepare a list of possible questions that can be asked based on your DAF Practice answering questions in front of a mirror If possible, record yourself as you answer questions during the practice session Brush up your knowledge on your graduation subject The purpose of the questions in the IAS interview is to check a candidate’s suitability to life in administration. It is not at all mandatory that one has to answer all the questions to get good marks in the UPSC Personality Test. Often, it is not about whether you know the precise answer to the question but how you actually come across as an individual when put under some pressure.
Few key points to avoid in an IAS interview
Don’t stress out on the day before the Interview. Better be rested and calm. Don’t try to bluff your way out. The IAS interview is unlike any other interview you have encountered before, so don’t try bluffing strategies. Don’t be concerned about theoretical questions. It is more about how you approach any question which is being asked to you. Don’t argue with the panel members. It is a discussion but candidates should maintain decorum at all times.
Check out For More Info-
https://www.eliteias.in/student-zone/upsc-exam-syllabus/
https://www.eliteias.in/25-best-ias-interview-questions-and-answers/
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C Program to implement queue using circular linked list
Queue using circular linked list Write a C Program to implement queue using circular linked list. Here’s simple Program to implement queue using circular linked list in C Programming Language. What is Queue ? Queue is also an abstract data type or a linear data structure, in which the first element is inserted from one end called REAR, and the deletion of existing element takes place from the…
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#circular queue in c using linked list#circular queue in data structure#circular queue using linked list#circular queue using linked list in c#queue in linked list in c#queue using circular linked list#queue using linked list in data structure#simple c program to implement circular queue using linked list
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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…

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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
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Prerequisites:
Basic knowledge of Java programming, including classes, objects, generics, and Java collections (e.g., ArrayList).
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#Data Structures Algorithms#Programming Courses#Sunbeam Institute Pune#Java Training#Coding Classes#Pune IT Training
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Use Python language for this Assignment. Find the Resources (Week to week lectur
Use Python language for this Assignment. Find the Resources (Week to week lectur
Use Python language for this Assignment. Find the Resources (Week to week lecture) for this Assignment. Avoid Plagiarism. Book: Data Structures and Algorithms in Python Please check the attached zip file for resources – This assignment is on this topic – · Stack and Queue · Linked List and Circular List · Optimize merge · Matrix · Search Trees · Optimizing Storage · Map…
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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…
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Snow falls in gentle flurries, illuminated by streetlights that guide the crowds right where they want to be. It’s a cold December night on Earth, the streets humming with life that even the Reapers couldn’t snuff out.
Snow crunching underfoot, the Shepard brothers know how close they came to losing all of this, and it sours their mood as they walk towards the night district. More specifically, the holiday event that the Alliance had insisted on putting on for troop morale. Given the limited slew of invitations, and the fact whoever organised this had chosen the opening night of a brand new club, Cade doesn’t think the invitation extends further than a very specific list of names put together in the name of publicity.
Cade doesn’t particularly mind that. It’s a night out, just with added attention. He’s there to have a good time. Loch, on the other hand, isn’t feeling so gung-ho about the prospect of small-talk and awkward conversations with people who are apparently important for... some reason that he’s completely blanked out on.
“I hate these stupid publicity things.” Lachlan grumbles, tugging at the cuffs of his tailored jacket as he walks. Next to him, Cade just offers a half-arsed shrug and a smile, keeping stride easily.
“They’re not that bad.” Cade says casually, glancing around the street. Their destination is a fancy new bar set in downtown Soho, London, and that’s an encouraging sight to take in, given that the place was rubble a few short years ago.
“Yeah, if you like the attention.” Loch says with a pointed glance to Cade, who just grins back at him. “And we’re late, which is always... worse.”
“It’s not my fault someone forgot to sort out a lift.” Cade tells him as they approach the bouncers on the door, after eyeing the too-long queue outside. They barely look the two of them up and down before stepping aside, gesturing for them to head on in.
“I was busy.” Loch huffs.
“Yeah, yeah-- spending hours dragging me around Camden to find a halfway decent oufit for tonight doesn’t count as ‘busy’, Lucky-boy.” Cade counters easily, clapping Loch on the shoulder as he speaks. When Loch shoots him yet another pointed glare, Cade only gives him yet another ridiculous grin.
“Come on. Crew are probably waiting for us.” Cade’s voice is nearly drowned out by the music blaring from further in. Passing through the small lobby, they head up the plush carpeted stairs to an open lounge, a neon-lit bar taking up the central circular area. The place is packed with people, and it’s all they can do to shuffle past a few groups until they get within sight of the bar. Cade spots Miranda first, all dressed up in red and already with a martini in hand.
“Aw, they started without us.” Cade snickers, nudging Loch as he gestures for him to follow, “They’re at the bar.”
“Where else would they be, Cade?” Loch rolls his eyes and follows Cade through the throngs of people. Eventually, they manage to get to the bar without shoving anybody out of the way, as much as Cade looked like he was about to.
Looking around, Loch eyes the familiar faces of his crew and smiles to himself. It’s good to see them like this, always is - he won’t ever deny them a chance to kick back and relax after what they’ve been through. He’s almost lost in his thoughts when he spots Ashley waving at him, and he smiles back, making to head over before he feels an arm sliding around his waist.
“You’re late.” Kaidan’s voice is warm and honey-sweet at his ear, and Loch immediately relaxes. He stifles a laugh, turning to look at Kaidan, eyebrow raised incredulously.
“And it’s nice to see you too, K.” Loch pats the hand at his waist, and Kaidan lets go so Loch can turn around. Kaidan looks incredible, all done up in grey and white, shirt noticeably tight across his chest underneath the suit jacket, and Loch hums appreciatively as he toys with Kaidan’s lapel.
“Is that the official stamp of approval?” Kaidan chuckles, eyes warm in the dim light of the lounge. Loch just shoves his shoulder gently, half-grinning back at him.
“Kaidan, you could wear anything and I’d still find you devastatingly attractive. So, yeah, approved.” Loch pulls at Kaidan’s lapels, bringing him close enough for a short and sweet kiss. Or at least, that’s what Loch intended on doing, but once they meet, neither really make any effort to move away. It’s not until Kaidan’s laughing into the kiss that Loch realizes someone’s hollering behind him. He pulls away and glances over his shoulder, finding Vega and Max - both a little red-faced, and Loch’s pretty sure it’s the alcohol - cheering them on. Not really knowing how to respond, Loch manages a half-hearted thumbs up in their general direction, and that seems to satisfy them for the time being as they turn back to their drinks.
“We may have started without you.” Kaidan admits sheepishly. Loch just laughs, smoothing Kaidan’s lapels down.
“Guess I’d better catch up, huh?”
Cade weaves his way over to a seat by Ashley and Max, not having found Scott yet. He’s about to ask Ash where he is when Max starts hollering at something, and Cade looks over to see what it is. Finding Loch and Kaidan quickly catching up, Cade just snorts and shoves Max back into his seat with a laugh.
“Let him live, Max.” Cade says, and Ash hums her agreement, tipping her glass in Max’s direction with a pointed glance.
“Behave.” Ash adds with a smile, nudging Max’s leg with her foot. Max just snickers, entirely pleased with himself.
“You boys are late.” Ash turns to Cade then, and Cade just sighs.
“It wasn’t my fault this time, okay?”
Ash just laughs quietly, but there’s something about the look she throws him that tells Cade she doesn’t quite believe him. Deciding to let the topic lie, Cade glances around the bar again, trying to find Scott. He’s vaguely aware of Ash and Max sparking up a discussion over who would last the night without hitting the deck, and offers his own half-arsed contributions when he’s not fiddling with his phone, almost about to message Scott and find out where he is.
“Oh my GO-” Cade yelps as something cold and soft presses against the back of his neck, right where his biotic implant sits, and he squirms away, almost leaping out of his seat to see what the fuck--
“That literally never gets old.” Scott’s familiar laugh reaches Cade’s ears before he realizes that Scott’s up to his old tricks again.
“Oh, you dick. Your hands are fucking freezing.” Cade rubs the back of his neck with his own warm ones, trying to get rid of the feeling. Scott just grins at him, and Cade quickly forgets about his annoyance. He glances down at the drink in Scott’s hand.
“I’m sorry, it’s just so funny, I can’t help it.” Scott doesn’t sound sorry in the least, words pitching with amusement even as he tries to even them out. Cade just rolls his eyes and drops his arm, closing the distance between them to press a kiss to Scott’s cheek, and while Scott’s distracted, he takes the glass tumbler of whiskey right out from his hand.
“Hey!” Scott realizes a little too late as Cade takes a sip before he can stop him, and flashes a wicked smirk his way.
“Thanks for the drink.” Cade lifts his hand - still holding the glass - and taps the tip of Scott’s nose with his pointer finger, laughter threatening to spill over.
“You’re buying me another one.” Scott says, and Cade just grins, reaching down with his free hand to link his fingers with Scott’s own.
“Yes, I am.” Cade confirms casually, and Scott just snorts incredulously at Cade’s antics. Regardless, he squeezes Cade’s hand and smiles crookedly up at him, those bright blue eyes saying what his words aren’t. Cade’s grin softens into a genuine smile, the kind only Scott really sees, and he lets Scott lead him over to the bar.
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Learning JavaScript Data Structures and Algorithms - Second Edition - Loiane Groner
Learning JavaScript Data Structures and Algorithms - Second Edition Loiane Groner Genre: Computers Price: $35.99 Publish Date: June 23, 2016 Publisher: Packt Publishing Seller: Ingram DV LLC Hone your skills by learning classic data structures and algorithms in JavaScript About This Book • Understand common data structures and the associated algorithms, as well as the context in which they are used. • Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs. • All concepts are explained in an easy way, followed by examples. Who This Book Is For If you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms. What You Will Learn • Declare, initialize, add, and remove items from arrays, stacks, and queues • Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures • Harness the power of creating linked lists, doubly linked lists, and circular linked lists • Store unique elements with hash tables, dictionaries, and sets • Use binary trees and binary search trees • Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort In Detail This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks. Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches. Style and approach This book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world. http://bit.ly/2VsJZnv
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