#circular queue program

[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:

[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!

[educationtech]

RPA Developer Salary, Roles & Responsibilities - Arya College

What Is Robotic Process Automation

Robotic process automation (RPA), also known as software robotics, uses automation technologies to mimic back-office tasks of human workers, such as extracting data, filling in forms, moving files, et cetera and It combines APIs and user interface (UI) interactions to integrate and perform repetitive tasks between enterprise and productivity applications. This form of automation uses rule-based software to perform business process activities at a high volume, freeing up human resources to prioritize more complex tasks also RPA enables CIOs and other decision-makers to accelerate their digital transformation efforts and generate a higher return on investment (ROI) from their staff.

RPA Development

A software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software. Whether you are a graduate student, a working professional, or a business owner, this guide will provide you with valuable insights and upskilling advice to embark on a successful career in RPA development

RPA Development Process

Step 1: Obtain a degree in computer science or a related field. A strong foundation in computer science concepts is essential for understanding the principles behind RPA development. Step 2: Develop an algorithmic way of thinking and understanding through practice and continuous learning. Solve coding challenges, participate in programming competitions, and work on personal programming projects to enhance problem-solving abilities. Step 3: Gain knowledge and hands-on experience with RPA tools through training programs and online courses. Familiarise yourself with popular RPA platforms like UiPath, Automation Anywhere, and Blue These platforms offer comprehensive training programs that cover the fundamentals of RPA development. Step 4: Build a well-designed RPA Developer resume highlighting your relevant skills and experience. Include any internships or projects where you have worked on RPA development. Highlight your programming language proficiency and problem-solving abilities.

RPA training programs can be highly beneficial as they provide practical knowledge and industry recognition. These programs often include hands-on exercises and real-world case studies, allowing you to apply your skills practically. Additionally, they provide an avenue for networking with professionals in the field and staying updated with the latest trends and technologies

Robotic Process Automation Syllabus

Module: 1 – Robotic Automation Process Studio

Running a Process

Basic Skills

Process Validation

Decision Stage

Calculation Stage

Data Items

Module: 2 – Process Flow

Decisions

Circular Paths

Controlling Play

Set Next Stage

Breakpoints

Collections and Loops

Layers of Logic

Pages for Organization

Module: 3 – Inputs and outputs

Input Parameters

Stepping and Pages

Data Item Visibility

Data Types

Output Parameters

Start-up Parameters

Control Room

Process Outputs

Module: 4 – Business Objects

Object Studio

Business Objects

BLUE PRISM CONTENT

Action Stage

Inputs and Outputs

The Process Layer

Module: 5 – Object Studio

Creating a Business Object

Application Modeler

Spying Elements, Attributes

Attribute Selection, Launch, Wait, Timeouts, Terminate

Write, Press, Attach and Detach, Read, Actions

Action Inputs and Outputs, Data Items as Inputs

Module: 6 – Error Management

Exception Handling

Recover and Resume

Throwing Exceptions

Preserving the Current Exception

Exception Bubbling

Exception Blocks

Exception Handling in Practice

Module: 7 – Case Management

Queue Items Commercial in Confidence

BLUE PRISM CONTENT

Work Queue Configuration

Defer, Attempts, Pause and Resume

Filters Reports

Module: 8 – Additional Features

Safe Stop, Collection Actions

Choice Stage, Logging, Log Viewer, System Manager

Process/Business Object Grouping

Process and Object References, Export and Import

Module: 9 – Consolidation Exercise

Order System Process

Consolidation Exercise Checklist

Submitting Your Completed Solution

Read Full Blog : Arya College

[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!

[genius11rare]

These fucking tags from op

100 drones giving a light show!

© 2019 Firefly Drone Shows, LLC

[allcprogrammingandalgorithm]

Write a C program to read the distance between two cities in KM. and print that distance in meters, feet, inches and centimeters.

Write a C program to read the distance between two cities in KM. and print that distance in meters, feet, inches and centimeters.

#include<stdio.h> void main() { float km, me, feet,inc,cm; printf("\n\n\tEnter is value::"); scanf("%f",&km); me=km*1000; cm=me*100; feet=cm*3780.5; inc=feet*12; printf("\n meters ::%f",me); printf("\n centimeter ::%f",cm); printf("\n feet ::%f",feet); printf("\n inches ::%f",inc); }

[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. 

[courseease1-blog]

The Way to Download Tumblr Videos: A Complete Guide

Have you seen a fantastic video on Tumblr and wondered how to download Tumblr movies? There are times a video we see on Tumblr is good that we want to keep them on our phones or computers. But, Tumblr doesn't have a way to download videos directly from their own platform. This doesn't mean that downloading Tumblr videos is hard. It's easier than it sounds. Discover how to do it with this complete guide on the best way best to download Tumblr videos. What is Tumblr? Tumblr is a microblogging and social networking website based in the USA. David Karp created the site in 2007. Tumblr allows users to create short blogs by submitting pictures, videos, and other articles. Users may also follow other sites and socialize with these sites' owners. https://thedownvideo.com/tumblr-video-downloader perform the majority of their activities on the site's dashboard. The dashboard allows users to add text, pictures, videos, and links to place on their own blogs. Additionally, it reveals the recent posts from sites that an individual follows and to remark, reblog or enjoy them. Users can also queue articles for scheduling, attach tags to their posts, and edit their own posts using HTML. Tumblr also gives the option for customers to submit questions to the sites they follow. The website can respond to the questions sent by the users. 18.3 million posts are being made daily and 371 million people visit the website monthly. Videos on Tumblr Videos on Tumblr include themes and topics which are popular among teenagers and young adults. A whole lot of videos are often clips linked to popular culture. This includes TV shows, videos, animations, anime and K-pop. There are also a lot of Tumblr videos related to viral memes. Tumblr needed a reputation for hosting controversial content. One of these are movies containing pornography and extremism. The website has been making moves to eliminate such material. Tumblr is also famous for hosting content which violates copyright laws. Tumblr movies are in MP4 format that uses H.264 codec and AAC audio. These videos aren't greater than 100 MB in size. They are also not more than 500 by 700 pixels in resolution and never over five minutes in length. Unlike videos, GIFs are limited to just 1 MB. Users use GIFs if they would like to reveal a brief portion of a longer video. Users also post embedded videos on Tumblr from other video streaming platforms. They generally upload videos on websites like YouTube, Dailymotion, and Vimeo. These videos are then linked to a user's Tumblr post. If you're searching to shoot Tumblr videos in your PC, then you're going to need a fantastic webcam. Have a look at this webcam in eMeet todayRead More Reviews and begin shooting your first Tumblr video! The best way to download Tumblr videos? Tumblr does not have an choice to download videos straight from its website. But, there are lots of simple ways about how best to download Tumblr videos. Frame source This involves getting a Tumblr movie's link by looking at its frame resource. To access the framework supply, right-click on the movie. Among the options shown, choose View Frame Source. The frame source would subsequently appear. To find the video link, find a connection at the following format: https://ve.media.tumblr.com/tumblr_xxxxxxxxxxxxxxxxx_xxx.mp4 After you discovered the movie connection, right-click onto it and choose Save Link As. This will save the movie on your computer. There are a whole lot of online video downloaders that permit you to download Tumblr videos. Choose one that is simple to use and gets the work done. Glue it to the movie downloader. As soon as you insert the link, the video downloader will convert the movie for download. Based on the movie downloader, it may ask for additional options like the quality of the video to download. When the video conversion finishes, you can now download the video on your PC. Mobile apps It is possible to download Tumblr videos in your mobile and other mobile devices. This can be through the usage of apps which are like movie downloaders for mobile devices. The process for downloading Tumblr videos employing mobile apps varies based on the app. But, the process is usually enjoy the process of using video downloaders. For Apple devices with iOS 11 or greater, you may choose to display record the Tumblr video. On iPhone X or later or other iOS devices with iOS 12 or iPadOS, swipe down. Then, press a grey circular icon and press Start Recording. After a three-second countdown, it must start screen recording. To prevent screen recording, go to Control Center and press a red circular icon. You can see the display record saved on your device's Photos program.

[bmharwani]

Circular Queue - Insertion/Deletion - With Example in Hindi

This is a Hindi video tutorial that Circular Queue - Insertion/Deletion - With Example in Hindi. You will learn c program to implement circular queue using array in hindi, circular queue using array in c and circular queue in c using linked list. This video will make you understand circular queue tutorialspoint, circular queue algorithm, circular queue example, circular queue in data structure pdf, insertion and deletion in circular queue in data structure, implement circular queue in hindi, circular queue c, types of queue in hindi, double ended queue in hindi. If you are looking for Circular Queue in Hindi, Circular Queue Array Implementation in Hindi, Circular Queue Programming using Array (Hindi), Circular Queue | Data Structures in Hindi or Array Implementation of Circular Queue in Hindi, then this video is for you. You can download the program from the following link: http://bmharwani.com/circularqueuearr.c For more videos on Data Structures, visit: https://www.youtube.com/watch?v=TRXkTGu0n9g&list=PLuDr_vb2LpAxZdUV5gyea-TsEJ06k_-Aw&index=14 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

[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.

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.

[sumisuchan]

The Lost Children Ch.3

I went to the market the next day. Morganite had prepared a note for me, stating I had her permission to go. She had even sealed it like an envelope meant to be delivered, written in her aristocratic cursive and signed at the bottom, with her card and its credits tucked in the middle.

The stationery she selected was light pink.

“I’ve never had a Pearl before,” Morganite explained. “I hope this is enough. If anyone bothers you, come to my office. Do you know where it is?”

She wore such a look of concern.

“This should suffice, My Lady, but I’ll alert you if there’s any trouble.”

“Alright then,” for the first time, it occurred to me how much shorter she was than I am. Before, she seemed somehow taller, but stood only to the point of my nose.

I took her letter and tucked it away.

“Well, I’ll see you after work today, Pearl.”

“Thank you, Madame. I hope today isn’t too taxing for you.”

“Thank you, Pearl. I hope the same for you.”

How many times would I need to stifle my laughter?

I left shortly after finishing Act Four of the play I was reading.

It was rare that I ever went to the market; it was rare that any gem went. Whenever Blue Diamond sent her Pearl, she always sent her alone, aside from the one day she allowed me to go along in an odd bout of sympathy.

I remember it as a circular chamber, divided into sections of various goods. At the time I went, they carried books, tea, and household items a noble might want. The entire area was full of searching Pearls with short lists in hand.

I was unsurprised to find it wholly unchanged as I waited to enter.

Two Quartz guards stood before the polite queue of Pearls. They towered above us, only admitting one at a time. The reasoning behind it didn’t make much sense to me. I suppose they didn’t want the marketplace swarming all at once, so they allowed only a certain number of Pearls in and waited for a few to leave before admitting more. Standing in line, I looked at the others. Most were some shade of blue, white, or yellow, but even then, there was the occasional green or red. Each of us wore our uniforms to imitate our masters. Soft fabric mimicked shoulder pads, or lengthy skirts to shadow heavy fabric.

I lost myself in admiring the different outfits, but Blue Diamond’s Pearl emerged with an opaque bag and drew my attention. She, too, opened her mouth in surprise.

The guards allowed her through, and in one smooth motion, she pulled something from the band of her skirts, walked at an even pace to me, and stuffed it into my left hand and moved along, as though nothing had happened. No one had noticed, and I felt the smooth texture of paper.

Promptly, I placed it inside the front part of my outfit, flat against my stomach, and stepped forward, presenting my note from Morganite to the guards.

“What a cute note,” the one on the right said.

“Let me see—” the left one giggled, reading it over. “Who is your master? I haven’t seen you before.”

“Lady Morganite of Yellow Diamond’s Court, Ma’am.”

“Lady Morganite?”

“You didn’t write this yourself, did you?”

Before I could answer, both of them began laughing and gave me the note back, allowing me through. I squeezed it a bit too roughly, but moved on to find a bustling market place, much like the one I remembered. Now there seemed to be newer things, different spices, and more options, but I went straight for the tea. That’s what Morganite had sent me for, after all.

The shopkeeper of this section belonged to White Diamond—a Pearl who watched me come in with a little shock, twisting her face and crinkling her nose, which stuck straight up into the air. With a hand on her chest and a gasp, she said, “Oh my…My condolences. Has Blue Diamond sent you today?”

“No,” I answered. “I work for a Lady Morganite now.”

“Well—” It was odd, seeing some of White’s mannerisms grafted onto this Pearl. She was a true miniature, keeping her mistress’s elegance. Had I kept any of my Diamond’s? Did I consciously realize it or was it just programing? She continued. “At least you’re working under a pink gem, though it must be odd to switch courts again.” She must have been older. That was why White allowed her to work here.

I answered, “It is odd. I wonder who they’ll pass me off to next.”

She didn’t laugh. Her face instead displayed a mixture of disapproval and horror, as if it were my fault I had changed owners so many times.

I began to browse the overwhelming number of teas.

“Please let me know if you have any questions, or if your mistress has requested any flavors.”

“She didn’t, actually. Lady Morganite doesn’t seem very picky.” The shelves stood from the floor to the ceiling, without a free space between the boxes and jars. Some wore labels from worlds whose writing I couldn’t read. Would I create poison if I mixed the wrong two together? From the other side of the room, the other Pearl’s eyes burrowed into my flesh, at the nape of my neck, hunting after my secrets. I’m sure she wondered what was wrong with me, having been assigned to a lady who would send me for tea, but wouldn’t specify a flavor.

“Do you recommend any?”

“The cosmic fruit infusions are easily the most popular,” she walked straight to the back wall and held out her arms, indicating three separate shelves. “Enchanting space berry is very good in my opinion, certainly suited for a pink gem, though my personal favorite would be black hole with Earth orange, but it is quite strong.” She removed a jar and took off the cap, then held it beneath my nose.

It was strong, with an influence of citrus.

“We actually cultivate this brand on Homeworld. I’ve even seen the trees from which these fruits grow. How they managed to make such a savage thing taste so wonderful is beyond me, but oh—” She placed the cap back on, slowly, “Perhaps that was insensitive of me. Your Diamond…”

“It wasn’t the fruit trees that did it.” I picked under one of my nails. “I’d like that flavor, and the space berry as well.”

“Certainly. My apologies.” She took both jars. “Your mistress lets you drink tea?”

“She does.” She makes it for me.

“You must be very good, then. I’m one of very few Pearls My Diamond treats to tea, but I’ve served her for so long.” Her gem reflected a deep crème color, an off-white that suggested an older style of procuring Pearls. Its perfect roundness struck me as uncanny, and she stuck her nose in the air again, placing the loose tea into two clear, separate bags. “It’s nice to see another Diamond’s Pearl here, even if…” Her finger paused on one of the numbers of her machine. “You do resemble her.”

“Thank you.”

“That will be fourteen credits.”

I handed her Morganite’s card, which she scanned and quickly returned, along with my bag.

“Let me know what you think of those flavors, if she allows you to taste them.”

“I will. Thank you.”

Another Pearl entered as I left, who the clerk greeted with a simple ‘Hello.’ I didn’t bother looking at the other goods the shops had to offer, despite lingering outside the bookstore for several seconds. They were out of the budget, and Morganite’s permission. Not to mention, the note begged to be read and answered. It burned against my stomach, no doubt collecting sweat along the edges.

I had learned to write by copying.

Armed with every word my Diamond had ever commanded I read, I traced my finger through the dust of Blue Diamond’s library, before wiping it away and destroying the evidence for good. I would write the titles of the books stacked upon the shelves, and try to make the loops and hooks and corners as loose, or tight, or thick, or thin as they were printed.

I can admit that it was an especially useless skill. In that opulent pit of untouched literature, I neither needed to read nor write, but there I was, touching every virginal title with my ill-meaning eyes and copying them in dust I made accomplice to my crimes, before murdering them away and hoping for more to abuse the next day.

Her Pearl caught me once. I had written halfway through A Diamond’s Wish in amateurish but passable calligraphy when I heard her gasp. I turned with my print covered in dust, grey-handed, my face undoubtedly severe.  

Quietly, she said, “I didn’t know you could write. Or read.”

“What are you even doing here?” I smeared my hand into my skirts. “Doesn’t Blue Diamond have you record her messages—”

“She does, but,” the edges of her lips folded into a grin. “Yellow Diamond has come to visit, so she sent me away. I like to come because there’s usually no one else here, except for you.”

For good measure, I wiped my hand off again, this time against my stomach. “Yellow Diamond, huh?”

“Don’t worry. I won’t tell her.” She leaned in, a bit closer. “In fact, I’m glad. The house Pearls can barely read at all. I thought I really might have been the only one.”

I asked her about her favorite story, but she didn’t have one. Blue Diamond never asked her to read out loud for her. She did, however, shove a note into my hand a few days later. It even included a blank sheet for me to reply, which I did in small amounts of stolen ink when absolutely no one was watching.

There wasn’t too much shit to talk, but we made do.

She would write me paragraphs about how Blue Diamond would cry (usually about My Diamond, but there were plenty of other topics) and how she would hold in her sighs. One time she told me she was glad her hair hid her eyes so no one could see them rolling.

I laughed out loud at that, which echoed inside the library.

We exchanged notes as often as possible, without drawing suspicion, and destroyed them once we had read and answered.

That day, her note began in typical form. I read it over a pungent cup of black hole orange I had made, sitting at the table in Morganite’s library. She wrote in her neat hand:

‘I worried I wouldn’t be able to write to you ever again. I’m not even sure if you’ll receive this message. I’ve been trying to devise a way to get it to you, but not much comes to mind. I plan on carrying it with me everywhere until I see you again. We have to meet at some point.

‘Blue Diamond is crying as much as ever. I think she misses you, even though she would never admit that. I see her stop in front of the library and sigh before we keep moving. You must have reminded her of Pink Diamond, even though she didn’t have much for you to do. I miss you too. Things seem even slower now that you’ve left.

‘How is life with Morganite? Does she treat you well? Does she allow you to read? I hope you’re happy there.

‘—Pearl’

I took a sip of tea while considering my response. There wasn’t any paper I could use to reply in Morganite’s library, but there was in her office, as well as writing utensils. Still, I remained a moment and read it over again, smoothing my index finger and thumb over the corners of the paper.

I made a point of finishing my tea before I stood, as the kitchen was on the way to the office. Opening the door, I went to drop off my cup, and moved toward those wide double doors I had polished not long before that day. They were styled classically—the kind you had to open manually, and with Pearl’s note folded into my hand, I pushed the right-side open and slipped inside.

Any parchment she kept in the bottom drawer of her desk, and surely, she wouldn’t notice one sheet missing. Or would she? Perhaps my fingers would have the distinct feeling of parchment if they ever met hers again.

I stood in one place too long, and as I took a single step forward, the doors opened in the main room a little before Morganite should have come home. Nearly dropping and the crumpling the note, I stuffed it back into my outfit. My body quickened but I held still.

“Pearl—” My Lady’s voice reverberated outside the office in the wide expanses of the chamber itself. “Pearl, where are you?”

She sounded pained and panicked. If I remained where I was, she would surely look for me, so I came out and found her crinkled on the floor before the entrance, bleeding.

Morganite was on her knees, skirts pulling and trapped beneath her legs when she looked up to me with blood trailing along her cheeks. “Pearl—” her arms shook and seized, which left her to claw at the floorboards as she fell. “Call Jasper—her number—”

Her head began to roll around like a ball moving back and forth, and I went to the phone.

[travelexperts-blog1]

Louise Brown - Stay at the Shangri-La Sydney

Our Operations Manager Louise Brown recently stayed at the Shangri-La in Sydney and shares her experience with us:

“I recently celebrated a family milestone birthday at Shangri-La Sydney and wanted to share what a great experience it was for anyone who is thinking of having a staycation in Sydney.  The hotel had only reopened the day before so the staff were for the first time, operating a 5 star luxury hotel with the new restrictions and health policies in place,” Louise explains.

“Apart from getting your temperature taken as you enter the lobby and completing an online health declaration form just prior to check in, the arrival experience didn’t feel too different than usual.”

“Arriving at check in time meant there was quite a long queue so perhaps tried to arrive a little but later if you can.  Reception staffs were behind clear Perspex screens and were taking all precautions to limit contact. There are small circular signs on the floor indicating the appropriate distance people should stand apart and there are limits on the number of people allowed at the one time in the lift. Of course, hand sanitizer is everywhere!” Louise says.

“Shangri-la Sydney has Darling Harbour, Opera and Harbour view rooms and suites – our room was absolutely spotless and of course, the view stunning.”

A highlight of our stay was our beautiful dinner at Altitude restaurant on level 36 – I’d highly recommend booking a night at the hotel with your consultant and reserving a table for dinner as well. It felt like a real treat to be able to enjoy a lovely dining experience again.”

“Spencer Travel is a partner of Shangri-La Groups Luxury Circle program and our clients receive the following benefits – room upgrade at the time of booking, daily breakfast for two, USD100 hotel credit and welcome amenities,” Louise concludes.

Please note, Altitude restaurant is currently open for breakfast daily, lunch on Friday, and dinner on Friday, Saturday and Sunday nights. As restrictions ease and occupancy picks up, the hotel will be reviewing their operations and increasing food and beverage services. Your Spencer Travel consultant will be able to let you know the most current information.

[programmingsolver]

Homework 03 Solution ========= PROGRAM 1 ========= This program allows for the implementation of the MyCircularDeque class. This class creates a circular double-ended queue (deque).

[myprogrammingsolver]

Homework 03 Solution ========= PROGRAM 1 ========= This program allows for the implementation of the MyCircularDeque class. This class creates a circular double-ended queue (deque).

[netmetic]

Introducing Runtime Topic Discovery in PubSub+ Event Portal

After designing and deploying a distributed application onto Solace PubSub+, have you ever wondered what the runtime topic metrics look like?  Ever wanted to visualize the topic hierarchy used by applications, to be able to browse which topics were being used the most, and discover if there were any patterns in the data?

As someone who has programmed Solace messaging applications and administered complex Solace infrastructure, I’ve often wondered about the variety and variability of the messages flowing through a Solace environment. Solace has an amazing amount of statistics and metrics available as part of its always-on monitoring, at the system level, within message VPNs, and even down to the client and queue level. PubSub+ event brokers can provide accurate counts of total messages received and sent, by type (e.g. direct vs. guaranteed), and even per-second and per-minute rates. (In case you want to learn more I’ve included at the end of this post some links to places where you can learn more about Solace monitoring, Syslog, SEMP, etc.

However, monitoring of topics is different. That’s because unlike VPNs, queues, and clients, PubSub+ topics are ephemeral, or short-lived, by which I mean they only exist as metadata within messages, and every single published message could have its own topic. With length up to 250 UTF-8 characters, that is a LOT of topics! Monitoring an (almost) infinite number of things indefinitely is hard, and monitoring topics isn’t something you’ve been able to do…until now.

I’m pleased to announce that we’ve added to our recently launched Solace PubSub+ Event Portal product something called the topic discovery explorer. It’s an interactive graphical representation of topics that are being published within a PubSub+ event broker, represented as sunburst or icicle diagrams that I’ll explain below.

Before we take a look at the topic explorer itsself, consider this example. Imagine a public transit system…you’ve got buses, trams, and subways moving around the city, communicating with stations, traffic systems, and mobile devices. Here’s what the topic hierarchy for such a system might look like, with the various levels grouped together:

Based on that hierarchy, here’s some examples of specific topics:

When a tram arrives at a station: sfmta/ light-rail/ eta-update/ v1/ powell/ 3834/ 5

Where a bus is currently located: sfmta/ bus/ geo-update/ v2/ 7192/ 037.8912/ -122.7322

When a subway needs to be re-routed: sfmta/ rapid-transit/ notice/ v1/ train/ train-re-route/ 8291

For guidance on how to set up an effective and futureproof topic hierarchy for your use case or domain, to check out these best practices for topic architecture and topic hierarchies.

Now let’s look at how PubSub+ Event Portal’s topic explorer can help you better understand your topic hierarchy and see how it applies to real messages flowing through your system. You can read on, or watch this video.

Topic Discovery Explorer in Action

The sunburst diagram of topic explorer makes it easy to see the structure of how a topic hierarchy is created, and it is from these levels that the concentric rings of the sunburst diagram are generated. The root level is at the center, and each ring as you go out represents the next level of the topic hierarchy.

Viewing Topic Data by Metric

Once the data is loaded into the sunburst visualization, you can “mouse around” — hovering over different sections of the diagram will show you metrics as to how many messages were received that start with that particular topic fragment.

Exploring Your Topic Hierarchy

The sunburst diagram draws on actual runtime metrics, and there are four ways you can view your the topic hierarchy:

By # of messages received (which are the busy topics)

By payload bytes (which messages consume the most bandwidth),

By unique topics starting with that prefix

With a “balanced” view that gives equal weighting to all segments under the same parent node

Solace topic hierarchies can be quite deep (up to 125 levels!), but typically range in the 5-9 levels range. Clicking on any of the arc segments will recenter the sunburst diagram with that particular topic prefix at the root, and redraw itself to show all the children nodes/topics under that level. Clicking on the center of the diagram will move you back up one level.

Converting to the Rectangular “Icicle��� View

Some people prefer rectangular views of the hierarchical data, rather than circular ones. The Topic Explorer can also visualize the data as an icicle diagram: it is the same data, just read from left-to-right, instead of inside-out.

Using Icicle View

This alternative view should be self-explanatory. Change the “View By” metric, click on topic segments to zoom into that level, and click to the left of the green line to back up to previous level.

Conclusion

To run topic explorer in your own environment, log in to Solace Cloud Console and open PubSub+Event Portal. From there, click on “Event Discovery” and download the discovery tool as a Docker container to run against your PubSub+ event broker. Or, if you are a Solace Cloud user, simply point the online discovery probe at a running Solace Cloud service to be scanned. I hope this post has helped you understand how to use the topic discovery explorer to better understand your environment.

Here’s the video I mentioned earlier, embedded if you want to watch it here:

Additional Resources

https://docs.solace.com/System-and-Software-Maintenance/Monitor-Event-Broker-Activity.htm

https://docs.solace.com/System-and-Software-Maintenance/Monitoring-and-Management.htm

https://docs.solace.com/Configuring-and-Managing/Monitoring-VPN-Stats.htm

https://docs.solace.com/SEMP/Using-SEMP.htm

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