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Code Angry Birds Game in React

Learn how to code Angry Birds game in React.
Link to the code: https://jutsupoint.com/how-to-code-angry-birds-game-in-react-js
Tutorial available at Jutsupoint.
Author is a senior product engineer from India, specializing in web and mobile development.

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Mastering Higher-Order Functions in JavaScript

Functional programming emphasizes clean, predictable, and maintainable code.
JavaScript treats functions as first-class citizens.
Higher-order functions can either take a function as an argument or return a function as a result.
Using higher-order functions like map() and filter() allows for cleaner and more expressive code in JavaScript.

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Dev

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Building 5 AI Agents with phidata and Ollama

This article explores how to create AI agents for web search, financial analysis, reasoning, and retrieval-augmented generation using phidata and the Ollama local LLM.
The article covers the installation process of UV and the creation of a project folder.
The web search agent is created using DuckDuckGo search engine.
The finance agent is created using YFinance tools for stock price, analyst recommendations, company info, and company news.
The agent team integrates the agents created in the previous steps for web search and finance.
The inference agent is designed to perform reasoning using a given task.
The RAG agent is created to use a PDF knowledge base and a LanceDB vector db.

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Medium

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Hazrat yusaf A S as you know it the best Artical

Hazrat Yusaf (A.S.) was the son of Hazrat Yaqub (Jacob) A.S.
He had a dream where he saw the departure of eleven stars, the sun, and the moon bending low, which made his brothers jealous.
Yusuf (A.S.) was sold into slavery in Egypt and faced various tests and trials.
Despite temptations and false accusations, Yusuf (A.S.) exhibited moral integrity and remained faithful throughout his hardships.

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Dev

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How I fixed a performance issue in a dropdown that rendered 4000 options .

To fix the performance issue in a dropdown that rendered 4000 options, the author suggests using virtual scrolling.
Virtual scrolling allows rendering only the visible options on the screen, improving performance.
Lazy load scroll is another approach where more items are loaded as the user scrolls down the list.
Using trackBy helps assign a unique identity to each element in the list, preventing unnecessary re-rendering in Angular.

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Dev

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Empowering Web Privacy with Rust: Intro

Rust, a modern programming language, offers robust web privacy solutions by addressing challenges of data breaches and privacy violations.
Rust's strong memory safety guarantees and versatile cryptography libraries make it an ideal choice for building secure web applications.
Rust's ownership model ensures memory safety without a garbage collector, reducing security vulnerabilities in web development.
Rust's concurrency support enables developers to write scalable web services without the common pitfalls of concurrent programming.

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Dev

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Converting Loops into Recursion: Templates and Tail Recursion Explained

Recursion is a technique where a function calls itself to solve smaller instances of the same problem. To convert loops into recursion, first identify the Iteration State, Define the Base Case, Perform the Current Iteration’s Work, and finally, Recursive Call. Tail recursion is a special form of recursion where the recursive call is the last operation in the function. Tail-recursive functions can be optimized by reusing the current stack frame instead of creating a new one for each call.
Recursive solutions can eliminate boilerplate code, especially for complex problems such as tree traversals and graph searches. Each recursive call adds to the stack, making recursion less efficient than loops. Not all JavaScript engines support tail-call optimization, limiting the practical use of tail recursion in certain environments.
Using examples for summing an array and the countdown timer, the article provides templates for general recursion and tail recursion code. The templates help convert loops into recursive functions. The benefits of tail recursion include stack optimization, which reduces memory usage, and efficiency when tail-call optimization (TCO) is supported by the JavaScript engine.
The examples for tail recursion in summing an array and factorial are quicker and more efficient than their non-tail recursive counterparts because they can also match the performance of iterative loops. Moreover, tail recursion can reduce memory usage and prevent stack overflow compared to non-tail recursion.
Limitations of recursion include stack overflow from deep recursion or non-tail recursion and performance overhead from recursive calls adding to the stack. Writing recursive functions helps solve complex problems but can be limited by the lack of support for tail-call optimization in the runtime environment.
The article explains that mastering these concepts makes it easier to solve problems and write code flexibly and efficiently. Recursion is considered a necessary part of a developer's toolset, allowing them to express solutions more clearly while eliminating boilerplate code for complex problems.

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Medium

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Kotlin Coroutines

Foundational Concepts: Kotlin Coroutines introduce the concept of Jobs that represent a cancellable unit of work and SupervisorJobs that isolate failures within specific tasks.
Key Benefits: Coroutines offer a structured approach to concurrency, allowing asynchronous code to be written in a synchronous style. They provide mechanisms for structured concurrency, cancellation, and resource management.
Common Patterns and Use Cases: Coroutines are useful in scenarios where tasks need to be executed in parallel within a coroutineScope, with the ability to cancel the scope if any task fails or exceeds a time limit.
Conclusion: Kotlin Coroutines improve code clarity, scalability, and reliability in modern backend development by providing a refined approach to concurrency and encouraging a mindset shift towards incorporating concurrency as a core design principle.

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Building a Blockchain AI Agent in No Time with Coinbase’s AgentKit

Coinbase's AgentKit is an AI integration that combines web3 and blockchain.
The AgentKit allows developers to create blockchain AI agents.
The platform offers examples and supports different IDEs, including Replit and VS Code.
By leveraging AgentKit, developers can explore the future of blockchain, web3, and defi.

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Medium

209

Why Linux has 4 layers of “page tables” and how it works exactly

Linux uses virtual memory to provide each process with its own private address space larger than the physical RAM available.
Memory is divided into different segments like text, data, stack, and heap, each with its own characteristics in terms of access permissions and memory management strategies employed by the kernel.
Linux's memory management involves paging and swapping where paging divides the virtual address space into fixed-size pages, and swapping moves memory chunks between RAM and the disk.
The page table maps virtual addresses to physical addresses, and each level of the page table provides a further level of indirection to manage virtual address space efficiently and scaleable.
The Linux kernel plays a central role in managing the system's memory, including memory allocation, page table management, and swapping.
Proper code design, including careful memory allocation and deallocation, is essential in preventing memory leaks that gradually consume available memory and eventually lead to performance issues or system crashes.
Several tools are available for analyzing memory usage, such as top, htop, free, and valgrind, to help identify and resolve memory-related problems proactively.
Buddy allocation, slab allocation, and zone-based allocation are sophisticated algorithms used by the kernel to optimize memory usage, ensuring efficient memory allocation and fragmentation minimization.
Effective memory management is paramount for the stability and performance of any Linux system, and understanding the interactions between processes, virtual memory, and the kernel is crucial for optimizing resource utilization and troubleshooting memory-related problems.
Regularly reviewing memory usage and proactively addressing potential issues is key to maintaining a healthy and responsive system.

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Introduction to data analysis with Python: Part 1 - Data types and Variables

Data types specify the kind of value/data a variable can hold. They include Integer or int, String or str, Boolean or bool, Float, and Character or char.
Variables help us reference a piece of data for later use. They can hold any data type. Rules for variables include starting with a letter, excluding spaces and special characters, and being case-sensitive.
Examples of valid variable names are footballers_names, ages45, x, and Food. Examples of invalid variable names are footballers-names, 42age, and snow bunny.
To know the value of a variable, use the print function without quotes around the variable name.

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Hello, World! My Journey into Tech and Beyond

I hold a bachelor’s degree in Computer Science and have previously worked as an Embedded Linux Kernel Engineer.
Currently, I’m pursuing my Master’s in Applied Computing and diving deeper into the tech world.
I started this blog to share insights from my projects and challenges I face and to inspire others in the tech community.
In the next post, I will share my personal struggle with social media addiction and how I overcame it.

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Dev

423

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Resilience & Adaptability

Resilience and adaptability are crucial qualities for entrepreneurial success.
Resilience helps in recovering from setbacks and pushing forward.
Adaptability allows for pivoting, evolving, and staying relevant in a changing business landscape.
Practical tips for building resilience and adaptability include continuous learning, developing a growth mindset, and taking breaks to recharge.

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Dev

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7 Powerful Python Performance Optimization Techniques for Faster Code

Python developers often think of performance optimization to create high-performance applications. Here, we present seven efficient techniques that help improve Python code's performance by faster execution speed and efficient memory management.
Generators and iterators are particularly useful while working with large datasets because they can process data without loading everything into memory at once.
List comprehensions and generator expressions are faster alternatives to traditional loops while creating new lists or iterating over sequences. Generator expressions are preferred for larger sequences to save memory.
The collections module in Python provides several high-performance container datatypes, such as deque, that can significantly improve code efficiency.
Sets and dictionaries are extremely fast for lookups and membership testing, and they use hash tables internally.
Numba provides significant speed improvements through just-in-time compilation for numerical computations.
Cython allows Python code to compile to C, resulting in significant performance improvements.
Tools like cProfile for timing and memory_profiler for memory usage analysis can identify where the bottleneck is while optimizing it.
Memoization is used to cache the results of expensive function calls, helpful for recursive functions, just like itertools module provides a collection of fast, memory-efficient tools for creating iterators.
Using built-in functions and libraries, minimizing object creation, optimizing loops, reducing function call overhead, using appropriate data structures, using 'in' for membership testing, and avoiding global variables are some best practices for writing performant Python code.

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Medium

326

Exploring the Depths of DeepSeek AI: A Glimpse into the Future of Artificial Intelligence

DeepSeek AI is an advanced artificial intelligence model developed by DeepSeek Inc., similar to models like GPT-4 developed by OpenAI.
DeepSeek AI can process and understand vast amounts of data quickly and accurately, making it a powerful tool for tasks that require deep understanding, analysis, and reasoning.
Applications of DeepSeek AI include healthcare, finance, education, and customer service, where it can assist in tasks such as analyzing medical records, risk assessment, personalized learning, and handling customer inquiries.
The future of DeepSeek AI holds potential for even more sophisticated versions, with potential applications in fields such as robotics, autonomous vehicles, and space exploration.

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