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Math vs Coding. What is harder

  • Programmers often spend more time debugging code than writing it, while mathematicians don't have to worry about removing errors in their work.
  • Math may be harder than coding because in programming, you can try and fail repeatedly, whereas in math, the solution is either there or not.
  • If a programmer and mathematician with equal skill are compared, the programmer is likely to solve more problems in their respective fields.
  • In conclusion, math is harder, but programming can be more annoying due to the debugging process.

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Dev

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How To Improve Performance Of My ASP.NET Core Web API In 18x Times Using HybridCache In .NET 9

  • The author decided to test how performant is one of his WEB APIs and how he can improve its performance by using HybridCache.Next he used k6 - an open-source tool and cloud service that makes load testing easy for developers and QA engineers.He set rate: 30000 as the base number for desired requests per second for the tested endpoint.
  • The API is now much faster, but he was curious if he could push the boundaries even further. Being aware of the cache stampede problem, he decided to add caching. He decided to use a 'Read Through Cache' pattern that works as follows:
  • When working with cache, we must be aware of the cache stampede problem: when multiple requests may receive a cache miss and will all call the database to retrieve the entity. Instead of calling the database once to get the entity and write it into cache.
  • He used a new caching library HybridCache available in .NET 9 that prevents a cache stampede problem. HybridCache is great replacement of old IMemoryCache and IDistributedCache as it combines them both and can work with in-memory cache and distributed cache like Redis.
  • Finally, he used Redis and saw how it can perform better than InMemory caching. While the increase was not as huge as previous improvements, Redis provides additional benefits like persistence and scalability. This in total gives an 18x performance improvement compared to the first version.
  • To increase the performance, he used the following steps: Use AsNoTracking in EF Core, replaced EF Core with Dapper, used InMemory cache using HybridCache, and used Redis cache using HybridCache.
  • By methodically analyzing and addressing performance bottlenecks, he transformed his ASP.NET Core Web API from handling 1,370 RPS to an impressive 25,798 RPS — 18x times increase.

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Specialization Isn't Enough - Why You Need Specialized Teamwork

  • Specialization alone is just part of the equation. The real productivity boost comes from specialized teamwork—when individuals with specialized skills come together within a highly integrated system.
  • Division of labour works not just because people are more specialized, but because specialization within a well-coordinated system lets individuals get better and better at their specific tasks.
  • The secret to productivity gains doesn’t lie in just specializing each person. It’s about making those specialists work together in an efficient, coordinated system.
  • When specialization is paired with smooth teamwork, it unlocks productivity levels that would be impossible to achieve through isolated work or poorly coordinated roles.
  • Specializing allows people to hone their skills, increase their speed, and improve their precision.
  • Efficiency: Specialized tasks lead to faster, better execution.
  • Expertise: Each worker masters their skill, leading to higher performance.
  • Coordination: A well-designed system ensures that all these tasks fit together, maximizing overall output.
  • Small, coordinated groups where specialties are optimized can achieve superior results over less-specialized individuals in larger, less coherent organizations.
  • Productivity gains often lie not just in individual expertise, but in how a team can integrate and leverage each person’s strengths to achieve a more cohesive and efficient outcome.

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Apache Kafka with Docker

  • Apache Kafka, a robust distributed streaming platform, is essential for building dynamic data pipelines and real-time applications. Pairing it with Docker makes setting up Kafka seamless, empowering developers to explore and innovate effortlessly.
  • The process of running Apache Kafka with Docker involves creating a Docker Compose file, spinning up the containers, verifying the container status, creating a topic, and producing/consuming messages.
  • To create the Docker Compose file, a GitHub repository is provided as a reference. After running the Docker Compose file, the Kafka container can be verified using the 'docker ps' command.
  • To create a topic and produce/consume messages, specific commands need to be executed using the Kafka container ID. This guide provides a straightforward way to experiment with Kafka using Docker.

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How Artificial Intelligence is Revolutionizing the Modern World

  • AI refers to machines or systems capable of mimicking human intelligence, learning from data, and performing tasks that typically require cognitive abilities.
  • Key innovations in AI include autonomous vehicles, smart cities, climate solutions, and space exploration.
  • Challenges and ethical considerations in AI include bias and discrimination, autonomy vs. control, and the impact on the job market.
  • The path forward requires prioritizing ethical AI development, investing in education, and promoting international cooperation.

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The Redefining power of Glue Blockchain

  • Glue Blockchain champions a philosophy where simplicity enhances security, focusing on accessibility for all.
  • Glue's approach involves a coordinated, decentralized rollout of tech stack layers, fostering a robust DeFi environment and moving away from fragmented approaches.
  • Glue's strategic decision to use Substrate ensures quick, agile development, emphasizing innovation and adaptability.
  • Glue's model combines L1 and specialized L2s for maximum efficiency and integration, aiming to lead the industry towards a more user-centric future.

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What is a Cyborg?

  • A cyborg is a being that has both biological and artificial components.
  • It can have external or internal machines that enhance the human body's capabilities.
  • Examples include prosthetic limbs, implants, and wearable technology.
  • Cyborg technology is used for medical needs, exploration, and improving performance.

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Prodevelopertutorial

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Given the heights of histogram using an array, you need to find the largest area rectangle in that histogram. Solution in C++

  • Given an array representing the height of a histogram, find the largest area rectangle in the histogram.
  • The problem can be solved using a stack-based approach in C++.
  • The solution finds the maximum area by iterating through the array and maintaining a stack.
  • The time complexity of the solution is O(n).

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Prodevelopertutorial

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Given an array and a key element, find the number of continuous elements whose sum is greater than the key element.

  • Given an array and a key element, find the number of continuous elements whose sum is greater than the key element.
  • Solution: Use the two pointers with sliding window approach to solve the problem.
  • Increase the right pointer until the sum is greater than or equal to the key element.
  • Then increase the left pointer to the right pointer until the sum is less than the key element. Store the minimum length in a variable.

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Prodevelopertutorial

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Given 2 strings, check if they are isomorphic strings.

  • The problem can be solved using 2 hash maps.
  • Iterate over the strings and map the characters to an index in both hash maps.
  • If the entries at the same index in both hash maps are not equal, return false.
  • If the loop completes without returning false, then the strings are isomorphic.

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Prodevelopertutorial

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Given an array, find the majority element, solution in C++

  • A majority element, is an element that is repeated more than half of the times.
  • We can solve this problem by using Moore Voting Algorithm.
  • In the solution, the Moore Voting Algorithm is implemented in C++.
  • The majority element in the given array [1, 2, 3, 4, 5, 5, 5, 5, 5, 5, 6] is 5.

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Find the minimum element from an array that is sorted and is rotated, solution in C++

  • To find the minimum element from a sorted and rotated array, we can use a binary search approach.
  • Start by initializing two pointers, 'start' and 'end', representing the start and end indices of the array.
  • Perform the binary search until 'start' < 'end'.
  • If 'arr[start]' < 'arr[end]', it means the array is not rotated, so the smallest element is 'arr[start]' and we return it.

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You are given a sentence, reverse the string word by word

  • The given sentence is "prodevelopertutorial is a good website".
  • The solution to reverse the string word by word is as follows:
  • 1. Reverse the whole string.
  • 2. Reverse individual words in the string.
  • Remove leading and trailing spaces, and any extra spaces between words.
  • The reversed string word by word is "website good a is prodevelopertutorial".

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Given an expression in reverse polish notation, evaluate it and get the output in C++

  • In reverse polish notation, operands will be first followed by operators.
  • The solution to evaluate a reverse polish notation expression in C++ can be done using stacks.
  • The expression can be evaluated by iterating through the notation and performing appropriate operations based on whether the token is an operator or a number.
  • The final result is obtained by popping the result from the stack.

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