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Discovering Generator Functions in JavaScript

  • Generator functions in JavaScript allow for pausing and resuming execution, making them useful for handling large datasets.
  • Defined using the function* keyword, generator functions utilize the yield keyword to pause execution and return values to iterators.
  • The for...of syntax can be used with generator functions to iterate over the generated values.
  • Executing a generator function returns an iterator object known as a Generator with methods like next(), return(), and throw().
  • Generator functions can be used with Array.from() to work with the generated values using array methods.
  • Delegating iteration in generator functions can be done using the yield* expression.
  • Yield* allows iterating over arrays, other generators, strings, Maps, WeakMaps, Sets, and WeakSets in a generator.
  • Generator functions are beneficial for scenarios like fetching paginated data from APIs by incrementally making requests.
  • Exploring further practical use cases and implementations of generator functions can provide deeper insights into JavaScript development.

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Understanding Async in JavaScript — A Beginner’s Guide to Asynchronous Programming

  • Asynchronous programming in JavaScript is essential for handling code that involves operations taking time without blocking the whole application.
  • Examples like waiting for a food order in a restaurant illustrate the concept of asynchronous behavior.
  • In JavaScript, asynchronous operations like API calls, file reading, or timers are common use cases for async functions to prevent the app from freezing.
  • Callbacks are functions passed as arguments to another function and executed only once a specific task is completed.
  • Promises in JavaScript provide a cleaner way to handle async operations compared to callbacks, avoiding callback hell.
  • A Promise guarantees a future result, either success or failure, similar to placing an online order.
  • Promises have three states: pending, fulfilled, or rejected, allowing developers to handle success and error cases.
  • Using Promises, like fetching data from an API, simplifies handling success or failure of asynchronous tasks in a structured way.
  • Async/await is a modern JavaScript feature that further simplifies asynchronous code by making it look more synchronous, improving readability and maintenance.
  • Async/await allows chaining asynchronous operations more cleanly than using nested .then() calls.
  • Understanding asynchronous behavior, from callbacks to Promises and async/await, is crucial for managing async code effectively in JavaScript.
  • The article provides a beginner's guide to asynchronous programming in JavaScript, offering insights into different ways of handling async operations.
  • Practicing with real examples is recommended to solidify the understanding of async concepts in JavaScript.

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Dev

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💡 Leveling Up with JavaScript: Clean Code, Tricks & Tools

  • JavaScript fundamentals are being polished with old quirks and new ES6+ features.
  • Takeaways, patterns, and tools have enhanced workflow.
  • Mastering Array.map(), filter(), and reduce() for clean, readable, and expressive code.
  • Destructuring, Rest/Spread Operators enable writing shorter, intuitive code.
  • Optional Chaining (?.) & Nullish Coalescing (??) help handle deeply nested data.
  • Async/Await Patterns simplify writing asynchronous code.
  • Closures, Currying & IIFEs are not just interview questions but useful in real apps.
  • Handy Tools & Libraries like Lodash, Day.js/date-fns, ESLint + Prettier, JSDoc, and Console Ninja Techniques are beneficial for JavaScript development.
  • A call for insights on JavaScript patterns, features, and tools in a knowledge-sharing thread.
  • Questions on using forEach, map, classes, or the functional approach are posed for discussion.
  • Engagement in the knowledge-sharing thread is encouraged by dropping thoughts, suggestions, or questions in the comments.
  • Focus areas include #JavaScript, #WebDevelopment, #CodingTips, #CleanCode, and #DevCommunity.

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Why JavaScript Developers Struggle to Learn

  • JavaScript has evolved significantly since its inception in 1995, resulting in frequent updates through ECMAScript standards like ES6 in 2015.
  • New features such as arrow functions, destructuring, and async/await require developers to consistently enhance their knowledge.
  • The vast JavaScript ecosystem includes frameworks (React, Vue, Angular), libraries (jQuery, Lodash), and tools (Webpack, Babel, npm).
  • Keeping up with the rapidly changing landscape of JavaScript can be overwhelming, especially for beginners.
  • The high volume of tools and updates leads to a steep learning curve, making developers feel pressured to learn everything quickly.
  • To overcome these challenges, developers should focus on mastering core JavaScript concepts before delving into frameworks or tools.
  • It's important to stay updated using reliable resources like MDN Web Docs or JavaScript-focused newsletters.
  • Prioritize practical application over constantly chasing trends in the JavaScript ecosystem.

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Recreating React’s useEffect in Plain JavaScript – React under the Hood

  • UseEffect is a hook in React that allows running side effects after component renders.
  • It can respond to changes in dependencies.
  • The article explores the idea of stripping away React magic and recreating useEffect in plain JavaScript.
  • The essence of useEffect involves a function that runs after rendering.
  • A simplified version of useEffect is presented using plain JavaScript.
  • The recreated logic behind useEffect is shown.
  • A simple component simulation using the plain JavaScript version of useEffect is demonstrated.
  • The recreation is minimal and conceptual, lacking features like cleanup and handling certain scenarios.
  • Understanding how useEffect works is highlighted by this simplified version.
  • React hooks, like useEffect, are based on simple, predictable logic under the hood.
  • Recreating components yourself can enhance understanding of their mechanisms.
  • The article concludes that having recreated useEffect in plain JavaScript can change one's perspective on this React feature.

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Dev

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How I Built My First Recipe Explorer App Using JSON Server and JavaScript

  • A beginner in web development built a Recipe Explorer App to practice HTML, CSS, JavaScript, and JSON Server.
  • The app allows viewing recipes with ingredients and instructions, and adding new recipes through a form.
  • JSON Server is used to simulate a database and API for managing recipe data.
  • Tools used include HTML/CSS, JavaScript, JSON Server, VS Code, Git & GitHub.
  • Recipes are displayed using fetch() method and dynamic DOM manipulation.
  • Adding new recipes involves sending a POST request to JSON Server and updating the UI.
  • Lessons learned include confidence in using fetch(), understanding JSON Server, and organizing logic into functions.
  • Small projects like this help in learning the connection between front-end and back-end components.
  • The project demonstrated how front-end apps interact with data and how full web apps are constructed.
  • Future plans may include adding edit functionality or search filters to the app.
  • Starting with small projects like this is recommended for beginners to learn and have fun in the process.

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Arxiv

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Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks

  • Static analysis is crucial in bug detection, including security flaws, with call graphs being a vital component.
  • Existing call graph construction algorithms for JavaScript lack accuracy due to complex language features.
  • The GRAPHIA approach aims to enhance tools by identifying missed call edges through link prediction on full program graphs.
  • GRAPHIA uses graph neural networks to model relationships between code elements, incorporating syntactic- and semantic-based edges.
  • The method learns from imperfect labels and evaluations show significant improvements in ranking function definitions for unresolved call sites.
  • Evaluation involved 50 popular JavaScript libraries with 163K call edges, resulting in improved recall for call graph construction.
  • The approach ranked the correct target as the top candidate in over 42% of cases and within the top 5 in 72% of cases, reducing manual analysis efforts.
  • GRAPHIA builds program graphs with millions of structural and semantic edges, demonstrating the effectiveness of learning-based methods.
  • This work is the first to employ GNN-based link prediction for full multi-file program graphs in interprocedural analysis for JavaScript.

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🌋 Find All K-Distant Indices in an Array – LeetCode 2200 (C++ | Python | JavaScript)

  • LeetCode problem 2200 involves finding all k-distant indices in an array, where an index i is considered k-distant if there is at least one index j such that |i - j| <= k and nums[j] == key.
  • The efficient solution for this problem involves a greedy strategy using pointers, where for each index j where nums[j] == key, all indices i within [j - k, j + k] are added to the result set, covering all valid i within the distance k from the key position.
  • The C++, JavaScript, and Python solutions provided linearly process the array, ensuring old indices are not rechecked, resulting in a time complexity of O(n) and space complexity of O(1) apart from the output.

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Logrocket

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JavaScript loops explained, and best practices

  • Loops in JavaScript are essential for iterating over code multiple times to run a piece of code multiple times.
  • The for loop is the most commonly used loop for iterating over arrays and array-like objects.
  • The for...of loop is used for iterating over arrays, strings, sets, maps, and more in JavaScript.
  • The for...in loop is used to iterate over keys of an object in JavaScript.
  • The do...while loop runs at least once before the condition is evaluated.
  • The while loop runs as long as the condition is true, but can create infinite loops if not careful.
  • The forEach loop is a higher-order function used to iterate over array elements.
  • The map loop is used for transforming values in an array and returning them in a new array.
  • The some loop checks if at least one element in an array passes a test.
  • The every loop checks if all elements in an array pass a test.

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Juris and JurisKit: The True Write Once, Run Everywhere Full-Stack JavaScript Solution

  • Juris and JurisKit aim to provide a write-once, run-everywhere solution for full-stack JavaScript development.
  • Traditional SSR frameworks often require duplication of code for server and client-side logic, leading to bugs.
  • JurisKit allows for writing code once in a single file using a universal pattern that executes on both server and client.
  • The createAPIClient function in JurisKit automatically adjusts behavior based on the environment, optimizing performance.
  • JurisKit simplifies state hydration, ensuring seamless data transfer from server to client.
  • The architecture of JurisKit allows components to generate optimized HTML strings on the server without the need for a separate templating system.
  • Global state management in JurisKit enhances performance, enabling faster server-side rendering.
  • Compared to other SSR solutions, JurisKit offers elegance and simplicity with minimal lines of code for server-side rendering.
  • JurisKit's architectural design simplifies routing logic, offering a straightforward mental model for developers.
  • Local component state is automatically included in hydration in JurisKit, ensuring seamless continuity between server and client.
  • The framework's headless router provides clean and declarative routing that functions uniformly on server and client.
  • JurisKit provides an intelligent file stitcher tool for combining components effortlessly without complex build configurations.
  • Real-world measurements showcase significant improvements in server-side rendering speed, client-side hydration, and bundle size with JurisKit.
  • JurisKit prioritizes reducing cognitive load for developers, allowing them to focus on business logic rather than infrastructure complexity.
  • JurisKit's approach emphasizes simplicity and ease of use compared to other powerful frameworks like React Server Components.
  • The future focus of JurisKit includes ongoing development and enhancements to provide a user-friendly and efficient development experience.

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Why I Built My Own JavaScript Form Validator (and What I Learned Doing It)

  • The author built their own JavaScript form validator named BeastValidator for a simple landing page.
  • The motivation behind creating BeastValidator was the author's preference for minimalism and direct DOM manipulation.
  • Existing validation libraries were deemed too complex with the need to define rules in JavaScript and various limitations.
  • BeastValidator is described as a small library leveraging HTML attributes like required, minlength, data-pattern.
  • It supports tooltips, inline messages, and optional field animation on error.
  • The library works with multi-step forms, custom validators, async validation, and multilingual messages.
  • The author highlights the benefits of keeping validation logic in the markup, framework-agnostic approach, and full control over user experience.
  • BeastValidator allows for minimal setup with basic configuration to validate form fields.
  • The author was tired of repetitive validation logic and desired a lightweight solution without bloated packages.
  • The approach of BeastValidator simplifies validation tasks without the need for extensive JavaScript coding.
  • The author invites feedback on validation user experience, attribute vs. JS configuration, and potential feature enhancements.
  • Users can test BeastValidator through its live playground, npm installation, and GitHub repository.
  • BeastValidator offers a streamlined approach to form validation and aims for simplicity and efficiency.
  • The author, Michael, seeks input and comments to enhance the BeastValidator tool further.
  • BeastValidator is a lightweight, vanilla JS library designed for efficient form validation with minimal configuration requirements.

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Asynchronous programming in Javascript.

  • JavaScript, being single-threaded, offers asynchronous programming to handle complex tasks without blocking the script.
  • Asynchronous programming in JavaScript allows the script to continue executing while waiting for tasks to complete.
  • Callback functions are used in asynchronous programming to execute tasks after the main function has completed.
  • Promises represent the result of an asynchronous operation in JavaScript and can be in pending, fulfilled, or rejected states.
  • Promises offer a more modern approach to asynchronous programming and can be created using the Promise constructor with then and catch methods.
  • Async/await is a more readable way to handle asynchronous operations in JavaScript, making code look like synchronous code.
  • Async keyword is used to declare asynchronous functions, await keyword is used to wait for promises to be resolved.
  • Async/await makes it easier to understand and maintain asynchronous code in JavaScript.
  • Asynchronous code within an async function executes asynchronously while code outside the function executes synchronously.
  • The await keyword can only be used within asynchronous functions in JavaScript.
  • Understanding asynchronous programming in JavaScript is crucial for creating efficient and responsive applications.
  • Asynchronous programming offers callback functions, promises, and async/await as methods to handle asynchronous tasks.

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Higher Order Functions in JavaScript – Map, Filter, Reduce Deep Dive

  • JavaScript’s higher-order functions - map, filter, and reduce - enable concise, reusable, and expressive code for array manipulation.
  • Higher-order functions accept functions as arguments or return them, enhancing modularity and abstraction in JavaScript.
  • Map creates a new array by applying a callback function to each element, allowing for one-to-one transformations.
  • Filter generates a new array with elements passing a specific test, ideal for conditional inclusion or subset selection.
  • Reduce consolidates array elements into a single value, supporting various operations like sums and object building.
  • Map, filter, and reduce can be combined for complex operations, showcasing their composability and versatility.
  • Performance considerations include immutability for memory usage and reducing chaining overhead for optimization.
  • Common pitfalls involve missing return values in map, complex conditions in filter, and accumulator mutations in reduce.
  • Best practices recommend using arrow functions, naming callbacks descriptively, chaining methods logically, handling edge cases, and documenting complex operations.
  • Real-world examples like managing a shopping cart demonstrate practical application of map, filter, and reduce for efficient array manipulation.

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Loop Unrolling in JavaScript: Boosting Performance with a Classic Optimization Technique

  • Loop unrolling in JavaScript is a process that combines multiple loop iterations into a single one to reduce overhead and improve performance.
  • It minimizes loop control operations like incrementing counters and checking conditions.
  • Modern JavaScript engines like V8 automatically optimize code, but loop unrolling can still provide benefits in performance-critical scenarios.
  • Manual unrolling can be useful when the loop body is simple or the iteration count is predictable.
  • Unrolling loops in JavaScript can enhance performance, especially in data processing, graphics rendering, or machine learning applications.
  • Loop unrolling should be done selectively in performance-critical code sections and benchmarked for validation.

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📝 Beginner-Friendly Guide "Divide a String Into Groups of Size k" - LeetCode 2138 (C++ | Python | JavaScript)

  • LeetCode 2138 presents an easy string manipulation problem that involves dividing a string into groups of a specified size k.
  • The task includes dividing the string into groups of size k and padding the last group if it has fewer than k characters with a specified fill character.
  • The C++ solution involves iterating through the string and adding substrings of size k to a list while padding the last group if necessary.
  • Key notes include checking for remaining characters, padding using the fill character, and the time complexity being O(n) where n is the length of the string.
  • The JavaScript solution utilizes slicing to grab groups and repeats the fill character if padding is required.
  • The Python code demonstrates a similar approach using string slicing and handling edge cases with padding if the chunk size is less than k.
  • Overall, the problem focuses on string slicing, iteration, and padding for edge cases, making it a practical exercise for understanding these concepts.

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