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Advanced Array Manipulation Techniques in Python

Advanced Array Manipulation Techniques in Python without using built-in functions or shortcuts like reversed() or slicing.
Problem One: Reversing an array in-place using two pointers and swapping values until fully reversed.
Code snippet provided for reversing an array in-place.
Problem Two: Rotating an array anti-clockwise by k steps with detailed breakdown and code snippet for in-place rotation.

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Hackernoon

222

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How PvP Matchmaking Works, Illustrated by War Robots: Frontiers

Matchmaking is a crucial element in online games, with intricate mechanics behind it, as illustrated by War Robots: Frontiers.
Balanced matchmaking aims for fairness by ensuring equal chances of winning, considering skill levels, region, squad advantages, and crossplay policies.
Matchmaking faces challenges in balancing teams, squad sizes, and minimizing waiting times for players.
Algorithms use intelligent shortcuts and heuristics to efficiently reject poor match-ups and narrow down suitable options.
In War Robots: Frontiers, matchmaking emphasizes high throughput, utilizing greedy algorithms with linear time complexity for speed and effectiveness.
The matchmaking process involves grouping players based on features, categorization, and bucketing for efficient match building.
Teams are formed based on one-dimensional packing problems, where larger units are prioritized and match quality is maintained.
After assembling matches, the system balances teams to minimize variance in win rates and create a more competitive environment.
Matchmaking systems need to be flexible to adapt to changing player populations and game dynamics, balancing precision, fairness, and waiting time.
Testing of matchmaking systems involves unit tests, integration tests, load tests, and simulations to analyze outcomes and refine heuristics.
The matchmaker in War Robots: Frontiers demonstrates the importance of adaptability, performance, observability, and controllability for effective matchmaking in online games.

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Logrocket

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A checklist for mastering Expo SDK 53

Expo SDK 53 brings new updates and features for React Native ecosystem, including support for React 19 and React Native 0.79.
Updates include enabling New Architecture (Bridgeless/Fabric) by default, stable expo-audio module, alpha release of expo-maps, and enhancements to Expo Router v5.
Improvements offer faster Android build times, streamlined TestFlight distribution with EAS Build, and tooling enhancements.
Checklist for upgrading to SDK 53 includes steps like upgrading using Expo command-line tool, fixing dependency compatibility, and opting in or out of New Architecture.
Exploring new APIs involves migrating to expo-audio, experimenting with expo-maps, and implementing robust background operations with expo-background-task.
Testing Expo Router v5 improvements, utilizing React 19 capabilities, and benefiting from faster Android builds are recommended.
Analyzing app bundle with Expo Atlas, streamlining TestFlight distribution with EAS, prioritizing development builds over Expo Go, and thorough regression testing are essential steps.
Ensuring thorough testing helps catch regressions, especially with significant changes like SDK 53, and embracing these advancements leads to high-quality app development.
Upgrade to Expo SDK 53 for performance improvements, new APIs, and better developer experience to stay current and access new features effectively.
Overall, mastering Expo SDK 53 involves following a detailed checklist, exploring new features, optimizing workflow, and ensuring thorough testing for a successful app development journey.

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Hackernoon

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Every Popular React Pattern You Should Know About

In the world of React, patterns refer to proven approaches to solving tasks. Popular patterns in React ecosystem focus on organizing components and logic for clarity, maintainability, and reusability.
The Container & Presentational Components pattern separates logic (Container) from presentation (Presentational). This improves separation of concerns, enhances reusability, and simplifies testing.
Higher-Order Components (HOCs) are functions that enhance a component with additional functionality. While they can add powerful capabilities to multiple components, they can also introduce complexity and nesting.
The Render Props Pattern is an approach where a component takes a function to determine what to render, offering flexibility in how components render content based on external instructions.
Hooks and Custom Hooks in React have replaced many older patterns. They allow for logic reuse without introducing additional component layers, leading to clearer and more concise code.
Compound Components focus on building flexible UIs by having multiple components work together as a single unit. This pattern leverages composition and context to create complex behaviors.
React Suspense simplifies asynchronous data handling by pausing rendering of components until data is ready and showing fallback UI in the meantime. It offers a more declarative approach to managing loading states.
Server Components in React aim to combine server-side rendering and client-side SPAs for improved performance and security. They separate components that run on the server from those that run on the client, leading to faster rendering and reduced bundle size.
React developers should be familiar with these patterns to understand how to structure and optimize their React applications. Each pattern offers unique benefits and considerations for different scenarios.
Experimenting with these patterns hands-on helps developers grasp their strengths and limitations, leading to cleaner, more manageable React code. Understanding these foundational ideas can enhance the quality of React applications.

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Logrocket

354

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How product leaders adapt frameworks like the 5 Whys

Product leaders often use the 5 Whys framework to identify root causes of issues and promote collaboration within teams.
The iterative process involves asking 'why' repeatedly to uncover deeper problems, ideally asking 'why' at least five times.
Real-life examples include leaders like Tim McConville and Prabhath Nanisetty using the 5 Whys framework to encourage collaboration and honest communication.
Mahesh Guruswamy emphasizes the importance of diagnosing issues promptly and fostering continuous learning within teams.
Abhishek Dwivedi highlights the need for root cause analysis to prevent superficial solutions and recurring problems.
Adapting the 5 Whys framework involves considering team size, types of problems, company culture, and remote vs. in-person dynamics.
Joel Meyer suggests understanding team dynamics and utilizing complementary skills when adapting frameworks for success.
Successful implementation of the 5 Whys framework requires open communication, trust, and the willingness to address the source of problems.
Adapting the framework to your team's preferences, incorporating visual tools, and creating a supportive environment can lead to better problem-solving and collaboration.
Overall, understanding team dynamics and leveraging frameworks like the 5 Whys can enhance root cause analysis and drive effective problem resolution in product leadership.

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Dev

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Healthy Developer: How Sleep Enhances Your Well-being

Developers often pull all-nighters or go deep into coding marathons, but sleep quality directly impacts work quality.
When sleep is lacking, expect reduced focus, emotional instability, and poor physical recovery.
Tips: avoid screens an hour before bed, sleep at consistent times, and stop caffeine after 2pm.
Proper rest boosts productivity, emotional balance, and immune strength — crucial for any developer.

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Dev

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Speed Up Your CI/CD: ARM 64 Runners for GitHub Actions

GitHub has introduced Arm64 support for runners in GitHub Actions, enhancing multi-architecture development workflows.
Arm64 runners offer significant speed improvements with some customers witnessing a reduction in build times from 3 hours to just 20 minutes.
Developers can efficiently create multi-architecture Docker images and contribute to reducing carbon emissions as Arm processors consume 30-40% less power in data centers.
Arm64 runners are free for public repositories with unlimited minutes, allowing for faster and more efficient workflows across diverse architectures.

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Dev

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React JS Tutorial for Beginners – Learn by Building Projects

ReactJS is a popular JavaScript library used by companies like Facebook, Instagram, and Netflix for front-end development.
Understanding React is crucial for beginners entering front-end development due to its efficiency in creating user interfaces.
Learning ReactJS through project-based learning is recommended to gain practical experience and build a strong foundation.
Starting with small projects like a to-do list app or a weather app can help beginners grasp core concepts of React and build a portfolio.

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Dev

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Clean Architecture in Frontend Applications. Entities Store

The article discusses the implementation of the entities store unit in frontend applications within the Clean Architecture.
The entities store holds enterprise and application business entities along with their states and can be implemented using various libraries like React useState, useReducer, Redux, Mobx, Zustand, etc.
There are two types of implementation: inline and extracted stores, which can further be split into domain and presentation stores for managing different types of entities.
Testing the entities store can be done in integration with other units or in isolation based on guidelines from the store library developer, and it is recommended to split enterprise and application business entities as the store grows.

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Dev

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Why Use train() in nn.Module When forward() is Called?

In PyTorch, calling a model triggers the forward() method due to Python's method lookup.
The forward() method defines the forward pass of the model, processing input to produce output.
The train() and eval() methods set the model mode for training with specific behaviors like dropout and batch normalization adjustments.
It is essential to understand and utilize train() and eval() along with forward() for effective model training and evaluation in PyTorch.

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PlanetPython

417

Ned Batchelder: PyCon summer camp

Attending PyCon feels like a summer camp experience with opportunities to connect with old and new friends while engaging in different activities.
One should be cautious of forming intense connections at PyCon that may not last beyond the event, similar to the friendships made at summer camp that fade away once back home.
It is common to feel enthusiastic about projects or communities at PyCon, but one should be mindful not to over-commit emotionally, as some interests may not be long-lasting.
Despite uncertainties about the longevity of projects started at PyCon, it is alright to get excited and initiate new endeavors while being open to the possibility of some efforts not materializing in the long term.

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Medium

122

Developing Smart Solutions for Forgotten Saved Content: The Journey of Creating an AI-Powered…

The project aims to address the issue of a low return rate on saved content due to the absence of a reminder system for users.
The solution involves using advanced AI algorithms to analyze saved posts, articles, or videos and learn users' preferences over time.
Challenges were faced during the system development, but plans include further enhancements to improve user experience.
The project aims to transform saved lists of digital content into organized personal libraries and invites users to try the extension for feedback.

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Javacodegeeks

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[DEALS] The 2025 Ultimate GenAI Masterclass Bundle (87% off) & Other Deals Up To 98% Off – Offers End Soon!

Special deals on various courses and subscriptions available on the Deals store, with discounts up to 98% off.
Notable offers include the 2025 Ultimate GenAI Masterclass Bundle at 87% off and other bundles for AI tools, coding, and certifications.
Subscription options range from Lifetime access to Premium Plans like LightPDF AI and AnyTrans Content Manager for iOS, all available at discounted prices.
Readers can also subscribe to the newsletter for free eBooks on Java, JPA, JVM troubleshooting, JUnit, Spring, Android UI Design, and more to enhance their skillset.

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Vista InfoSec

217

SWIFT Security Controls:Best Practices for Financial Institutions

SWIFT plays a crucial role in facilitating secure cross-border transactions for financial institutions amidst growing cyber threats.
The SWIFT Customer Security Programme (CSP) aims to enhance cybersecurity hygiene and protect against fraud and cyberattacks.
It incorporates the Customer Security Controls Framework (CSCF) with mandatory and advisory controls based on industry standards.
SWIFT CSCF focuses on securing environments, limiting access, and enabling timely detection and response to threats.
There are 32 security controls in SWIFT CSCF, including measures to protect critical systems, reduce vulnerabilities, and manage identities.
Best practices for financial institutions include risk-based approaches, strengthening access controls, and enhancing network segmentation.
Continuous monitoring, regular system updates and patches, and security awareness training are also key recommendations.
Engaging independent assessors can help identify security gaps, improve compliance, and enhance security resilience.
By aligning with SWIFT CSP requirements, institutions can bolster their security posture, prevent fraud, and maintain a secure financial ecosystem.
Implementing these best practices and engaging with independent assessors can enable institutions to meet regulatory expectations effectively.

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Dev

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What is chatbot?

A chatbot is a software application designed to have textual or spoken conversations, using generative artificial intelligence systems that simulate human behavior.
Recent advancements in chatbots, such as OpenAI's ChatGPT, Microsoft's Copilot, and Google's Gemini, are based on large language models like GPT-4 and the Gemini language model.
Chatbots are widely used in customer service and support, as companies across various industries leverage advanced AI technologies for virtual assistants and customer interactions.
BERT, a language model popular in natural language processing, was pre-trained with tasks like Masked Language Model and Next Sentence Prediction to understand bidirectional context and relationships between sentences.

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