A while back I released algodesigner-genetic, a lightweight, no-nonsense Genetic Programming library for Java. What makes it different: - Zero external dependencies - Available on Maven Central - Simple enough for learning, flexible enough for prototyping If you tinker with GP/GA in Java, give it a look. https://lnkd.in/gH7ErDts #Java #GeneticProgramming #OpenSource #Coding #AI
Java Genetic Programming Library Released on Maven Central
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Day 56 - DSA Practice Solved the Isomorphic Strings problem, which checks if two strings can be transformed into each other by consistently mapping characters. Each character in the first string must map to exactly one character in the second string without conflicts. A mapping structure is used to ensure that no two characters map to the same character incorrectly. The approach validates both forward mapping and uniqueness of mapped values. This problem strengthens understanding of hash-based mapping and character relationships in strings. #LeetCode #DataStructures #Algorithms #Java #CodingPractice #ProblemSolving #TechSkills #Programming
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What if a function could call itself to solve a problem? That’s exactly what Recursion is. In this short video, I explained: - What is recursion - Base case (stops execution) - Recursive case (reduces problem size) - Factorial example - Importance of call stack Recursion is widely used in solving complex problems like trees, graphs, and divide-and-conquer algorithms. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #Recursion #InterviewPreparation
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Understanding arrays is not enough knowing how to operate on them is key. In this short video, I covered: - Traversal (O(n)) - Insertion (O(1) at end, O(n) in middle) - Deletion (O(1) at end, O(n) in middle) - Why shifting elements impacts performance These fundamentals help in choosing the right data structure and writing optimized code. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #DataStructures #Algorithms
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🚀 Day 23 of #50DaysOfCode Solved Daily Temperatures (LeetCode 739) 🌡️ Today’s focus was on mastering the Monotonic Stack concept — one of the most powerful patterns in DSA. Learned how to efficiently find the next greater element by storing indices and resolving them smartly instead of brute force. 💡 Key Learnings: • Stack helps reduce time complexity from O(n²) → O(n) • Always think in terms of “pending answers” • Monotonic stacks are 🔥 for interview questions ✅ Status: Accepted ✔️ ⏱️ Optimized approach implemented Every day getting better at problem-solving and consistency 💪 #DSA #LeetCode #Java #CodingJourney #Consistency #100DaysOfCode #Programming
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A couple of years ago, I wrote that "The Builder pattern is a finite state machine!". A state machine consists of states and transitions between them. As a developer, I want to make illegal states unrepresentable, i.e., users of my API can’t create non-existent transitions. My hypothesis is that only a static typing system allows this at compile-time. Dynamic typing systems rely on runtime validation. In this blog post, I will show that it holds true, with a caveat. If your model has many combinations, you also need generics and other niceties to avoid too much boilerplate code. My exploration will use #Python, #Java, #Kotlin, #Rust, and #Gleam. With that background in mind, let’s move on to the model itself. #builderpattern #finiteStateMachine #illegalState #programming #coding (link in the comments)
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Mid-week musing 💭 If AI can write code… why should it write in high-level languages like Java, C#, Python? Why not go straight to assembly language… or even binary? If the end goal is machine execution, why stay at a level meant for humans? Is abstraction still necessary or just a legacy of how we have always built systems?
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Day 38 Designing Data-Intensive Applications by Martin Kleppmann Chapter 4 Encoding and Evaluation When you want to write data to a file or send it over the network. You have to encode it as some kind of self-contained sequence of bytes(JSON document). The translation from in memory representation to a byte sequence is called encoding(also known as serialisation or marshalling), and the reverse is called decoding(parsing, deserialisation, unmarshalling). Many programming languages come with a built in support for encoding in-memory objects into byte sequences. Example: Java has java.io.Serializable, Ruby has marshal, Python has pickle, many third party also exists, like Kyro for Java.
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#Day1816: Recently someone asked if #AI is going to take over all the coding in Python, Java, Js, etc. Then what would happen to the IT world! In my understanding, ofcourse not 100% certain, but then programmers (real) would continue to push further human understanding about real world by, may be, using #Lean Programming (Note: Lean is a functional programming framework and yes you can use Visual Studio Code for that). I am too, trying to learn functional programming. If you haven't, you should! Let AI catch up in the meanwhile! What are you thinking? #functionalprogramming #learnlean #mathprogramming
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🚀 Python Series – Day 19: Inheritance Scalable software development ke liye Inheritance ek important OOP principle hai. Aaj humne seekha: 👉 How child classes can reuse features of parent classes 📌 Key Highlights: ✔ Code reusability ✔ Better structure ✔ Easy maintenance 📌 Practical Use Cases: Software frameworks Role-based systems Shared functionality modules 💡 Practice Task: Create parent class Inherit child class Extend functionality 📈 Strong OOP basics = better developer growth 🔔 Follow Logic Gurukul for daily Python learning 💬 Comment "DAY19" for complete roadmap #Python #Programming #DataScience #AI #MachineLearning #Coding #LearnPython #TechSkills #CareerGrowth #LogicGurukul
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🚀 Python Series – Day 19: Inheritance Scalable software development ke liye Inheritance ek important OOP principle hai. Aaj humne seekha: 👉 How child classes can reuse features of parent classes 📌 Key Highlights: ✔ Code reusability ✔ Better structure ✔ Easy maintenance 📌 Practical Use Cases: Software frameworks Role-based systems Shared functionality modules 💡 Practice Task: Create parent class Inherit child class Extend functionality 📈 Strong OOP basics = better developer growth 🔔 Follow Logic Gurukul for daily Python learning 💬 Comment "DAY19" for complete roadmap #Python #Programming #DataScience #AI #MachineLearning #Coding #LearnPython #TechSkills #CareerGrowth #LogicGurukul
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