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JS Basic concepts that some people miss

Promises in JavaScript provide a cleaner and more readable alternative to callbacks, preventing callback hell.
Promises have stages like Pending, Fulfilled, and Rejected, making asynchronous code execution easier.
Promise method examples include Promise.all, Promise.allSettled, Promise.race, and Promise.any.
Throttling limits the execution of a function to prevent it from running more than once in a specified interval.
Debouncing delays function execution until there is a period of inactivity, useful for scenarios like search inputs.
Event Propagation includes Event Capturing, Target, and Event Bubbling phases in the DOM.
Concurrency in JavaScript involves handling multiple processes or threads executing simultaneously to avoid data conflicts.
DB Isolation Levels such as Read Uncommitted, Read Committed, Repeatable Read, and Serializable help maintain data consistency in Concurrent operations.
JS Strict Mode enforces rules to make the code more error-free by disallowing certain behaviors like using undefined for 'this' in the global context.
Prototype in JS refers to a blueprint containing shared properties and methods for instances created from a constructor function.

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Dev

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Mathematical Foundations for Machine Learning in JavaScript

Machine Learning is powered by math and understanding the underlying mathematics is crucial to truly understanding ML models.
The core mathematical concepts in ML include scalars, vectors, matrices, vector operations and dot product, matrix multiplication, derivatives and gradient descent, and probability & statistics essentials.
This blog explains these concepts in a beginner-friendly way using JavaScript, allowing readers to learn through practical coding examples.
It is a helpful resource for JavaScript developers interested in ML, beginners seeking a deeper understanding of the mathematical side of ML, and those who prefer hands-on learning.

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Dev

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Add live chat to your applications with Rocket.chat

Adding a chat system to your app can help gather valuable information from users.
Rocket.Chat's livechat API offers a great option due to its open source nature, comprehensive APIs, and flexible hosting.
To get started, you need a running Rocket.Chat server and a basic knowledge of JavaScript.
Setting up the Rocket.Chat server involves creating an account, launching a cloud-hosted server, and configuring it.
Registering a visitor, creating or retrieving a chat room, and getting livechat configurations are essential steps.
To connect via WebSocket, establish a connection, keep it alive by responding to 'ping' messages, and subscribe to the chat room.
Listening for incoming messages and sending livechat messages are part of maintaining the conversation.
Integrating these steps into your backend or client-side logic is crucial for a functional live chat system.
Rocket.Chat's livechat API simplifies the process of adding chat functionality to web apps for valuable user insights.
By exploring Rocket.Chat's documentation, developers can build their live chat systems with ease.

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Mjtsai

319

Swift Testing: Test Scoping Traits

Swift 6.1 introduces custom Swift Testing traits for custom scoping of test setup and teardown logic.
By implementing the TestScoping protocol, custom traits can define how each test or suite applies the trait.
A trait example shown involves binding a task local value to a mocked resource for test validation.
The proposal also mentions limitations in accessing instance-level members and includes plans to add a built-in trait type to simplify testing.

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Medium

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Immortality for the Pharaohs: The Secret of Eternal Survival

The ancient Egyptians developed mummification techniques to preserve the body and ensure immortality.
The heart of the deceased was weighed against the feather of Maat to determine entry into the afterlife.
Mummification was initially reserved for kings and dignitaries, but simpler methods emerged for the middle class and poor.
The ancient Egyptians achieved a form of immortality through their enduring monuments and ideas.

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Medium

304

Unf*cking an AI codebase part 1

A JavaScript developer was asked to help fix a codebase that had become overly complex due to a misunderstood abstraction.
The developer had to correct a senior developer and bring attention to the lack of meaningful oversight from management.
The use of AI as a productivity tool has been effective, with an AI tool becoming a valuable code review assistant.
AI tooling used by developers has the potential to replace traditional developers in certain tasks.

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Dev

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My starting point for Linux

The author's favorite blog discusses their journey with Linux as their chosen operating system.
The author's interest in Linux began when they discovered it through hacking-related content.
They initially installed Kali Linux on their sister's laptop and found the interface intriguing.
Their decision to switch to Linux as their primary OS was reinforced by a video promoting its ethical use and importance within the programming community.

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Medium

351

The Debugging Diary: How a Simple Console.log Saved My Sanity

Adding console.log statements during debugging can save a lot of time and frustration.
Debugging is considered a superpower among developers as it helps diagnose issues systematically.
It is important to log the steps taken during debugging and share the experience to help others.
For complex issues, using the 'debugger' or breakpoints in the code helps with thorough debugging.

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PlanetPython

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PyCoder��s Weekly: Issue #675: Optimization, DuckDB, Outliers, and More (April 1, 2025)

Python generators provide efficient memory usage and new possibilities for data processing workflows.
DuckDB is a library that allows using a relational database in Python code.
Outlier detection plays a crucial role in fraud detection and other applications.
Python tutorials and resources for improving code quality and web development.

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Medium

367

From Makefile to Nextflow: Modernizing Your Workflow Automation

Nextflow is a versatile workflow manager aimed at computational pipelines and general-purpose automation.
It provides containerization support, parallelization, explicit dependency management, logging, resource management, and version control.
Nextflow offers detailed error tracking, automatic task retrying, and efficient parallelism.
It also includes explicit dependency management, detailed logging, built-in resource management, and integrated version control.

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Medium

244

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Low-Code vs No-Code — What’s the Difference?

No-code platforms allow users to build apps or websites without coding experience by using drag-and-drop elements and preset workflows.
Low-code platforms offer the same drag-and-drop building blocks but also allow users to write and customize code when needed, providing more control for developers.
The choice between low-code and no-code depends on the flexibility and needs of the project, as well as the technical expertise of the user.
For more information, refer to the article 'Create Apps Without Coding: Introduction to Low-Code and No-Code Development' for detailed insights and real use cases.

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Dev

169

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Why Is This Undefined? JavaScript Traps for Python Programmers

JavaScript and Python differ in equality, type coercion, and truthy/falsy values.
Variable hoisting and scoping differ between JavaScript (var, let, const) and Python.
Functions in JavaScript have 'this' binding while Python uses explicit self parameter.
JavaScript's default parameters and function arguments differ slightly from Python.
Arrays and objects behave uniquely in JavaScript with methods like map, filter, and splice.
Object keys, asynchronous JavaScript concepts (callbacks, promises, async/await), and number oddities are key differences.
JavaScript has loop peculiarities with for...in, object iteration, date handling, and module systems.
Common gotchas like semicolons, multiline strings, global scope leakage, and prototype inheritance are highlighted.
Understanding the event loop, debugging tips, and utilizing tools like ESLint are crucial for JavaScript developers.

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Dev

138

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🎨 svggles – Make Interactive SVG Illustrations in React (with 1 Line)

svggles is a React utility that enables the creation of interactive SVG illustrations in React projects.
It allows for SVG-based components to respond to mouse movement, scroll, hover, and custom animations or transformations.
The package is lightweight, customizable, and designed to seamlessly integrate with modern React applications.
To use svggles, simply install the 'interactive-illustrations' package and explore the provided playground, documentation, and examples.

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Dev

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From Data to Dashboards: Building an EC2 Cost Analysis Tool with Flask and AWS S3

This article explores how to build a Flask-based web application that analyzes EC2 cost data, generates insightful visualizations, and leverages AWS S3 for storage and retrieval.
The application performs data ingestion, data analysis, visualization, storage, and retrieval of EC2 cost data.
Key components and code snippets include using Pandas for data analysis, Matplotlib and Seaborn for visualization, and boto3 for AWS S3 integration.
Considerations for security, scalability, error handling, and user experience are highlighted.

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Dev

256

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Optimizing DOM Updates in JavaScript for Better Performance

The Document Object Model (DOM) is a critical part of web development, enabling dynamic content updates.
Inefficient DOM manipulation can lead to sluggish performance in complex applications.
Common performance pitfalls include multiple reflows from sequential updates, layout thrashing, inefficient event listeners, expensive CSS changes, and unoptimized animations.
Optimization techniques include batch updates with DocumentFragment, separating reads and writes, using event delegation for event listeners, using classes instead of inline styles for CSS changes, using GPU-accelerated properties for animations, utilizing virtual DOM for library/framework approach, debouncing/throttling high-frequency updates, and hiding elements during batch updates.

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