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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

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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

415

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

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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

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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

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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

256

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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

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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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Medium

175

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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Kotaku

205

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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

278

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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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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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Medium

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SEMANTIC ACTIONS IN COMPILER DESIGN What are Semantic Actions?

Semantic actions are an integral part of the compilation process.
They bridge the gap between the syntactic structure of a program and its actual meaning.
Semantic actions for building AST involve creating AST nodes and storing subtrees.
Efficiency, clarity, and error handling are key considerations for semantic actions.

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Dev

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20 Essential Tools to Empower Your Node.js Development in 2025

Node.js is a powerful JavaScript runtime environment that has cemented its place as a top choice for building scalable and dynamic applications.
For optimum productivity and code quality, it is important to have the right tools to support your Node.js development journey.
Choosing the right development environment, such as Visual Studio Code or WebStorm, can impact your development workflow significantly.
Managing task automation and build processes is essential, with tools such as Gulp and Webpack.
Robust and reliable Node.js applications require thorough testing, consider using frameworks such as Jest or Mocha.
Static Site Generators (SSGs) can offer performance and SEO benefits for content-heavy websites, with options like Next.js or Gatsby.
API development tools, such as Express.js and Fastify, can help build robust APIs.
Debugger tools, such as Node Inspector or Debugger.js, can help identify and fix bugs in your code.
Performance monitoring tools, such as PM2 and AppDynamics, can help optimize your application's performance.
Automating build, test, and deployment processes can save time and ensure consistency, with tools such as Travis CI or CircleCI.

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Medium

338

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Building a CLI Task Tracker with Go: My Learning Journey

The author shares their journey of learning Go by building a CLI Task Tracker.
They initially struggled with the concept of a CLI but gained confidence through experimentation.
They made mistakes by using incorrect approaches for input handling and file operations.
The project taught the importance of starting small, learning from mistakes, and exploring Go's ecosystem.

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