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Find the index of first 1 in an infinite sorted array of 0s and 1s

The problem is to find the index of the first occurrence of 1 in an infinite sorted array of 0s and 1s.
To solve this, we can apply binary search. However, to apply binary search, we need to know the start and end indices of the array.
To find the end index, we start with index 1 and keep doubling it until we find a 1.
Once we have the start and end indices, we perform binary search to find the first occurrence of 1.

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Prodevelopertutorial

292

Find position of an element in an Infinite Sorted Array

To search for an element in an infinite sorted array, we can use binary search.
However, to apply binary search, we need to find the end index.
To find the end index in an infinite array, we can start with a starting index and double the end index until we find an element greater than the key element.
Once we have the start and end indexes, we can apply binary search to find the key element's position.

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Prodevelopertutorial

355

Find Ceil of an element in a Sorted Array

Ceil of an element in a Sorted Array
Given an array and a key, find the smallest element greater than the key. This is known as Ceil.
The problem can be solved using binary search.
In the provided example, the ceil of 5 in the array {1, 2, 3, 4, 6, 7, 8, 9} is 6.

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Prodevelopertutorial

Find Floor of an element in a Sorted Array

The floor of 5 is 4

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Dev

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What are JavaScript Engines?

JavaScript engines are process virtual machines designed to interpret and execute JavaScript code.
The basic job of a JavaScript engine is to convert the JavaScript code that a developer writes to fast, optimized code.
Each JavaScript engine implements a version of ECMAScript. As ECMAScript evolves, so do JavaScript engines.
JavaScript engines work differently. For example, JavaScriptCore by Apple performs a series of steps to interpret and optimize a script.
Google’s V8 engine, written in C++, compiles and executes JavaScript source code, handles memory allocation, and garbage collects leftovers.
Runtimes tend to work on top of JavaScript engines, extending their power.
A lot of marketing push goes into the names given to JavaScript engines. However, it’s useful to note a few of the major events in the history of the JavaScript engine.
The goal of a JavaScript engine is to generate the most optimized code in the shortest possible time. Keeping up with the changes in JavaScript engines will be time well spent as you evolve as a web, mobile, or app developer.
Understanding the tech behind JavaScript engines can help in better honing the craft as a programmer.
Developers should be aware of the differences inherent in the browsers that display the code and understand the limitations inherent to and possibilities offered by the various browsers on their small devices.

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Dev

380

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Real-time Log Streaming with Node.js and React using Server-Sent Events (SSE)

This guide demonstrates how to create a real-time log streaming system using Server-Sent Events (SSE) with a Node.js backend and React frontend.
Server-Sent Events (SSE) is a one-way, real-time technology that lets servers push data to web browsers.
SSE is perfect for scenarios where you only need to send data from server to client, like log streaming as it is simpler than WebSockets to implement and works automatically with HTTP/HTTPS.
The Node.js backend log streaming service has to set up with headers for SSE.
SSE server must follow a specific message format, which includes the following details → tells the browser it's a message payload.
The React component displays streaming logs and has to create an SSE connection which handles incoming messages, errors, and cleans up on unmount.
It provides real-world usage examples such as processing large files and database operations.
Tips and best practices include Memory management, Performance optimization, Enhancing User Experience, and Security Measures.
Server-Sent Events are simple to implement, provide real-time updates and work automatically with HTTP/HTTPS, making them perfect for scenarios where data is only one-way.
Remember to handle errors properly, manage memory usage, and consider security implications while implementing this in a production environment.

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Dev

388

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Understanding Middleware: The Essential Guide For Developers

Middleware acts as a bridge between the user and your app, handling essential tasks like authentication, logging, and data formatting.
Middleware ensures requests are properly prepared before reaching the core of your application.
Middleware acts as a filter or helper that processes requests before they reach the router or handler.
Middleware ensures your app runs smoothly and securely by taking care of repetitive, behind-the-scenes tasks.

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Dev

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How Developers Can Use anypalette.co for Stunning Palettes

Choosing the perfect color palette is crucial for developers working on web and app design.
anypalette.co is an intuitive tool that simplifies the process of finding, tweaking, and applying ideal colors for projects.
It offers features like palette generation, support for different color formats, accessibility checking, and an inspiration library.
Developers can use anypalette.co to generate, check, export, and refine their color palettes easily.

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Dev

363

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Terminal Animations with Node.js

Node.js provides the process.stdout property, which allows accessing properties and methods for terminal animations.
To create an animation, one can write a character in a starting position, make a pause, remove the character, write it to a new position, and repeat.
The Ansis library can be used to add colors to terminal animations, such as applying green color or animating the color from dark to light green.
By combining these techniques, interesting and cool-looking animations can be created.

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Dev

217

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React Context and Hooks: The Modern Approach to State Management 🚀

React's Context API and Hooks have revolutionized state management in modern React applications.
Context + Hooks allow for cleaner and more maintainable code, eliminating the need for prop drilling.
Context can be created and used to provide global state values throughout the component tree.
Best practices include context composition, performance optimization, and TypeScript integration.

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Javacodegeeks

367

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Efficient JSON Parsing in Java: Jackson vs. Gson vs. JSON-B

Efficient JSON parsing is crucial for Java applications that handle data interchange.
Jackson, Gson, and JSON-B, offer robust solutions for this purpose.
Jackson is renowned for its speed and extensive feature set.
Gson, developed by Google, is appreciated for its simplicity and ease of use.
JSON-B is a standard specification for binding JSON data to Java objects.
Jackson excels in performance benchmarks, demonstrating superior serialization and deserialization speeds across various payload sizes.
Gson offers reasonable performance but may lag behind Jackson in handling large datasets.
JSON-B focuses on ease of use and compliance with Java standards rather than raw speed.
When it comes to JSON parsing and processing, performance is often a key consideration for developers working on data-intensive applications.
Jackson stands out as the best-performing library for most scenarios, particularly when speed, memory efficiency, and scalability are priorities.

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Medium

146

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Five free websites to start or improve your programming skills

freeCodeCamp provides free access to certifications and offers a step-by-step approach to learn programming.
Harvard University offers free online courses, including an introduction to computer science and programming.
The Raspberry Pi Foundation provides free learning resources and projects for young programmers.
Codewars offers coding exercises called Kata to develop programming techniques.
Oxford University offers free courses, such as Python programming, with an optional certificate upon completion.

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Medium

338

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Simplifying Git Workflow: How I Merged Multiple Commits Using — squash

Git merge --squash is a useful trick to manage multiple commits in Git workflow.
Traditionally, cherry-picking each commit individually is time-consuming.
Using git merge --squash, you can effectively merge multiple commits into one.
This helps keep Git history clean and manage code changes efficiently.

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Logrocket

409

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Using design imagery when designing UX for digital products

Design imagery is an important visual language that can convey information effectively to users in UX design and hook them instantly in the first few seconds of interaction.
Imagery in digital products can provide guidance in UX design. Visual cues like arrows and icon placement can guide users through interfaces.
Images can evoke emotions, such as trust and excitement in users, through relevant and engaging visual storytelling that enhances usability.
There are different types of UX design imagery to enhance engagement in specific ways, such as illustrations, cinemagraphs and GIFs, photography, and 3D renderings.
Follow best practices to create engaging visuals that won't compromise loading speeds, such as future-proofing by using cutting-edge file formats like AVIF.
Maintain brand consistency and build trust with users with visuals that align with the product's color palette and style and ensuring that the images have enough contrast to be readable by all users, including those with visual impairments.
Optimize imagery for different screen sizes by adopting a mobile-first approach with responsive images and use CSS to adjust image quality and size dynamically.
Imagery in UX design goes beyond just aesthetics and stock photos. Designers should ensure every image serves a purpose and enhances the overall design by avoiding overloading the interfaces with unnecessary imagery.
Balancing beauty with function, using the right imagery will provide better usability to users by speaking directly to them in a memorable and meaningful way which creates seamless interactions.

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Medium

The Revolution of AI and ML: Transforming the Modern World

AI refers to the simulation of human intelligence in machines programmed to think, learn, and make decisions. ML, a subset of AI, focuses on enabling machines to learn from data and improve their performance without explicit programming.
Ethical concerns, such as bias in AI algorithms and data privacy issues, require attention. Moreover, the need for vast amounts of data and computational power poses significant barriers for smaller enterprises.
Advances in quantum computing, natural language processing, and neural networks are set to push AI and ML capabilities further, promising a future of increased innovation and efficiency.
Balancing innovation with responsibility is crucial, ensuring ethical AI practices, minimizing biases, and prioritizing data privacy in order to create a smarter, equitable, and sustainable future.

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