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Managing countries and currencies with JS

The npm country-currency-utils package allows developers to manage a list of over 200 countries and corresponding currencies without storing them within their codebase.
Country-specific data, including country name, dial code, currency code, and flag emojis, among other details, can be accessed through different functions of the package such as getAllCountryDetails(), getAllCountryData(), and getCountryData(countryCode: string).
Similarly, the package also provides information on currency codes, currency symbols, digit grouping, and decimal precision.
The package also has utility functions to handle monetary amounts such as rounding and formatting. These include getRoundedAmount(), getFormattedAmountOnCurrency(), and getDisplayAmountOnCurrency().
getRoundedAmount() can be used to round a monetary amount either up or down. The method getRoundedAmountOnCurrency() adjusts the rounding to suit the currency.
The function getFormattedAmountOnCurrency() retrieves the amount with fixed decimal places and comma-separated values. getDisplayAmountOnCurrency() adds the currency symbol to properly formatted amounts.
If the function getDisplayAmountOnCurrencyCode() is used instead of getDisplayAmountOnCurrency, it provides a promise which accepts only the currency symbol.
The country-currency-utils package offers promises to fetch country and currency data from a CDN, instead of carrying lists of the data into the codebase.
The package can help reduce the complexity of managing currencies in projects with clients in multiple countries.
Developers can find the package useful in making monetary amount displays more uniform across diverse client bases.

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Johndcook

220

Unix Time and a Modest Proposal

The time it takes earth to orbit the sun is not a simple multiple of the time it takes earth to rotate on its axis.
Leap seconds were introduced in 1972 to synchronize the day and the year more precisely.
An international standards body has decided to stop adding leap seconds by 2035.
A proposal suggests adjusting the position of the earth periodically to keep the solar year equal to an average Gregorian calendar day.

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Medium

106

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Generative AI Prompt Patterns for Software Engineering — Part 4

This article is the fourth chapter in a series about Prompt Patterns for Software Development.
The article discusses two new patterns: Meta-prompting and Contextual Similarity Search.
Meta-prompting is the technique of using prompts to generate or refine other prompts, resulting in a collaborative approach with the AI.
Contextual Similarity Search enhances traditional keyword searches by using an LLM as a filter to ensure similarity and relevance of results.

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Dev

249

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Sorted Data Structures in Python

Python provides various tools and libraries for working with sorted data structures.
The heapq module offers a heap-based priority queue implementation.
The sortedcontainers module provides dynamic sorted data structures.
Sorted data structures in Python have some trade-offs, including insertion/deletion overhead and memory usage.

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Medium

118

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QwQ: Step-by-Step Tutorial With Demo Project

In this blog, we’ll build a multilingual code explanation app to showcase QwQ’s capabilities, particularly its strengths in reasoning, following instructions, coding, and multilingual support.
The app will be built using Python, Streamlit, and Hugging Face's QwQ API.
To get started, we’ll access QwQ using Hugging Face, set up an account, and get the necessary permissions.
We will create three files called .env, backend.py, and frontend.py to hold our code.
To interact with QwQ's hosted API, a folder for the project will be created and the dependencies installed.
A function for sending a request to the API will be written in backend.py.
Streamlit will be used to build the frontend of the app in frontend.py.
After setting the app title and layout, instructions for using the app will be added.
Input fields for code and language selection will be created, and a 'Generate Explanation' button will be added.
A footer will be added to the app, and it will be launched.

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Medium

410

Understanding Active Directory Attacks: A Simple Guide

Active Directory is a directory service developed by Microsoft for managing networks.
Common Active Directory attacks include reconnaissance, Kerberoasting, Pass-the-Hash, Golden Ticket Attack, Lateral Movement, and Privilege Escalation.
To protect Active Directory, regular audits, patching systems, monitoring logs, educating staff, and implementing MFA are recommended.
Additional resources for Active Directory security: AdSecurity, MITRE ATT&CK Framework, and SANS Institute AD Security Resources.

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Dev

173

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Quit Using Anonymous Functions in Props!

Using anonymous functions as component props have become a kind of lazy go-to that threatens bloat at larger scale.
The issue is that when every time a button renders, a new anonymous function is created and held in memory causing potential performance issues.
This potential issue is often addressed by implementing individual components for each instance, so the pertinent data is isolated at only one instance.
A data attribute can still be used as an efficient and readable solution when it’s not feasible to have the update logic confined to a local scale.
The most comprehensive measure would be to always begin with code so well-modularized that the passing of key data is done through props right to that component.
The pattern of using anonymous functions is not a compatible way to write code with large scale.
The use of anonymous functions is acceptable when called in reactively or simplifying the passing of function params.
Instead of anonymous function approach, a better measure would be to make sure to create individual components for repetitive tasks, limiting complicated workflow.
The possibility of anonymous functions being handled by Svelte during transpilation exists, but best practices are still required to follow by builders.
This issue exists in most of the JS libraries, and it's imperative to equip good habits while coding to promote better practices.

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Dev

309

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Building Robust REST Client with Quarkus: A Comprehensive Guide

Quarkus provides powerful built-in support for REST clients, offering both traditional Java EE approaches and modern MicroProfile solutions.
The MicroProfile REST Client approach provides a more modern, maintainable, and feature-rich way to build REST clients in Quarkus applications.
The approach offers declarative, interface-based client definitions, type-safe request/response handling, and automatic client generation.
Built-in integration with MicroProfile Config, better integration with CDI and other MicroProfile features, simplified error handling, and resilience pattern are other benefits of this approach.
MicroProfile REST Client approach aligns better with microservices architectures and provides superior integration with other MicroProfile features like Config, Fault Tolerance, and Metrics.
In addition to basic REST client features, Quarkus also offers advanced features like Fault Tolerance, Retry Pattern, Fallback Pattern, Circuit Breaker Pattern, Dynamic Base URL Configuration, and Custom Headers Management.
Fault Tolerance features offer robust support for retry, fallback, and circuit breaker patterns to handle failures.
Dynamic Base URL Configuration allows for flexible runtime URL configuration, and Custom Headers Management is crucial for authentication, tracking, and protocol compliance.
The article concludes with a real-world example of building a REST client for the Freesound API that demonstrates header-based authentication and parameter handling.
By combining MicroProfile REST Client with Quarkus's fault tolerance features, developers can build robust, reliable service communications for their microservices architecture.

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Dev

110

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High-Performance Python: Asyncio

Concurrency programming is a programming approach that deals with the simultaneous execution of multiple tasks. In Python asyncio is a powerful tool for implementing asynchronous programming.
Asyncio can efficiently handle I/O-intensive tasks, improving program performance and concurrency.
Asyncio is based on coroutines and event loops. The event loop is responsible for scheduling and executing coroutines and handling the switching between coroutines.
Asyncio provides APIs for asynchronous I/O operations that can be seamlessly integrated with coroutines and the event loop through the await keyword.
Asyncio can concurrently execute multiple coroutine tasks. The event loop will automatically schedule the execution of coroutines according to the readiness of tasks, thus achieving efficient concurrent programming.
Compared to multithreading, asyncio has greater autonomous control and is more efficient for heavy I/O operation scenarios due to the smaller cost of task switching.
In many cases, using asyncio requires the support of specific third-party libraries, such as aiohttp for network requests.
To improve program running efficiency, we can also use libraries like concurrent.futures.ProcessPoolExecutor and multiprocessing for multi-process concurrency in Python.
Leapcell is a cloud computing platform specifically designed for modern distributed applications, providing support for multiple languages and intuitive user experience along with efficient scalability and high performance.
Leapcell's pay-as-you-go pricing model ensures no idle costs, meaning users only pay for the resources they actually use.

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Dev

254

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Day 01: Learning JavaScript APIs: Console API

JavaScript has a ton of built-in APIs that make programming fun and interesting.
Today, we’re starting with an API that’s been quietly helping you debug all along: the Console API.
The Console API is a collection of super useful methods that make debugging, logging, and visualizing your data easier.
Some cool things you can do with the Console API include displaying data in tables, using console.assert() to simplify error logging, measuring code performance with console.time() and console.timeEnd(), and counting how many times a block of code runs with console.count().

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Logrocket

220

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Double-check user actions: All about warning message UI

Confirmation dialogs are useful in preventing user errors and warnings in software interfaces.
They double-check user actions and help prevent mistakes in situations requiring user acknowledgment before proceeding.
Irreversible actions, operations that impact user data or context, and operations that require user acknowledgment before proceeding are scenarios where we should use confirmation dialogs.
Best practices for double-check warning messages UI includes using clear and concise language for message and providing distinct options with clear labels.
Designers should avoid unnecessary confirmation dialogs, use visually prominent design ideas and ensure users can dismiss the dialog easily.
When possible, designers can also use alternatives like undo functionality, inline warnings, and tooltips to prevent UI interaction errors.
The confirmation dialog designs of Google Drive and Android Settings App are good examples of user-friendly and effective confirmation dialogs.
Optimally use well-designed confirmation dialogs only for required actions and balance safety and usability in software UIs.
Alternately use undo features, inline warnings, tooltips, and error-prevention design techniques for less critical actions.
Confirmation dialog boxes are common elements in software interfaces and their appropriate use in design can improve the user experience and prevent errors.

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13 Likes

Medium

173

Sue wins by a mile.

Success in investing is determined by how you respond to moments of terror.
An investing genius can remain calm when everyone else is panicking.
Accepting that failures and setbacks are normal is crucial in business and finance.
Being good at what you do means being right or successful only part of the time.

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10 Likes

Kotaku

203

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The State Of The Nintendo Switch In 2024

The Nintendo Switch will release its successor, the Switch 2, in the next few months.
In 2024, the Switch struggled to run games on its almost-eight-year-old hardware.
2024 brought no major changes to the Switch itself or any significant game releases.
The Switch 2 is expected to be a more straightforward upgrade than previous consoles.
The eShop is poorly optimized and the interface feels cluttered.
Nintendo spent most of 2024 trying to stop Switch emulation enthusiasts and ROM pirates.
Switch Online expanded to include Game Boy Advance classics.
Switch's 2024 catalog was a mix of remakes and smaller spin-offs with indie games filling the gaps.
The hardware's ability to deliver a seamless gaming experience has eroded over time,
Despite the Switch's shortcomings, its current catalog has an incredible breadth and variety.

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Medium

275

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Using Alloy to interact with Ethereum smart-contracts in Rust

Alloy is a new library for interacting with Ethereum smart-contracts.
Alloy is a high-performance rewrite of the ethers-rs project that has exciting new features and excellent documentation.
The ethers-rs project is being deprecated in favor of Alloy.
Developers who used the web3 and ethers crates for handling contract events, will now find a better dev experience with Alloy.
Alloy’s well-crafted documentation and examples significantly reduce learning curves and enhance productivity.
Alloy comes with examples of different use cases to help developers get started.
Rust developers grappling with the lack of robust and well-established library ecosystems can now protect their project timelines, stability, and overall developer experience with Alloy library.
In this article, the author demonstrates how to use a Rust CLI app built with the Alloy library to fetch Ethereum Name Service (ENS) data.
The author used the Axum web framework for building the Rust CLI app with Alloy library.
Examples of how to work with Ethereum smart-contracts can be found on Alloy library's Github repository.

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16 Likes

Javacodegeeks

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JMeter vs. Gatling: Which Tool Is Better for Modern Load Testing?

Load testing is a critical aspect of performance engineering, ensuring that your application can handle the expected user load while maintaining stability.
Apache JMeter and Gatling are two popular tools for load and performance testing, but they have differences in performance, ease of use, and scripting.
JMeter uses a multi-threaded model and supports various protocols, but its performance can degrade with increasing virtual users.
Gatling, designed for high-performance scenarios, handles more users with less resource consumption and provides efficient scripting using Scala.

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