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Weekly Challenge: Strings and Arrays

  • The Weekly Challenge sent out by Mohammad S. Anwar provides two tasks weekly for coding solutions, written in Python and then converted to Perl.
  • Task 1: String Format - Solutions involve formatting a string by removing dashes from groups of a given size separated by dashes.
  • Task 2: Rank Array - Solutions entail returning an array of ranks for each element, where the lowest value has rank 1 and duplicates share the same rank.

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15 rust tools to level up your Linux terminal

  • Rust is being increasingly used to build modern, user-friendly, and visually appealing command-line tools for the Linux terminal.
  • 15 Rust-powered tools are highlighted in the article, offering upgrades and quality-of-life improvements for power users, sysadmins, and developers.
  • Examples include exa for enhanced directory listing, bat as a feature-rich alternative to cat, and ripgrep for faster and cleaner search results than grep.
  • Other tools like fd for improved file searching, dust for a better disk usage display, bottom for system monitoring, and procs for process visualization are discussed.
  • tokei provides codebase analysis, zoxide offers smart directory navigation, and starship is a customizable, cross-shell prompt with useful information.
  • Hyperfine assists in benchmarking command-line programs, choose simplifies field selection from structured text, and gitui provides a Git user interface in the terminal.
  • broot combines tree view and fuzzy finder functionalities, while gping offers a visual ping experience for monitoring network status.
  • These tools aim to enhance productivity, offer better user experience, and streamline common tasks performed in the terminal environment.
  • By leveraging Rust's capabilities, these tools provide speed, efficiency, and improved visuals, making the Linux terminal experience more enjoyable and efficient.
  • Whether for file management, code analysis, system monitoring, or network diagnostics, these Rust-powered tools offer advanced functionalities and simplicity in usage.
  • Embracing these tools can lead to a more streamlined workflow, increased efficiency, and a more enjoyable experience when interacting with the Linux terminal environment.

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Day 14/200 (Full stack)

  • Day 14 of 200 Days of Code focused on enhancing CSS skills for building responsive layouts.
  • Key concepts covered include different CSS sizing units like px, em, rem, %, vh, vw, float, clear properties, and Flexbox layout.
  • CSS Sizing Units explained various units like px, em, rem, %, vw, vh in detail for element sizing.
  • Flexbox was introduced as a powerful modern CSS feature simplifying layout design and providing flexibility.

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Scalable REST API Architecture with NestJS, Prisma, Swagger, & Docker: How To.

  • This article discusses how to build a production-ready REST API using technologies such as NestJS, Docker, Swagger, and Prisma.
  • NestJS, a Node.js framework, offers a modular, TypeScript-based approach, ideal for scalable server-side applications.
  • Prisma simplifies database operations with a type-safe client and schema-based approach.
  • Swagger enables interactive API documentation for better understanding and usage of endpoints.
  • Docker facilitates consistent application deployment through containerization, ensuring uniformity across environments.
  • The tutorial follows a modular architecture, separating the application into domain-specific modules for better organization.
  • Prerequisites for the tutorial include basic knowledge of NestJS, TypeScript, and Docker, with required installations.
  • Key steps involve setting up a NestJS project, configuring the database with Prisma, creating database services, and configuring Swagger.
  • RESTful endpoints are created using modules, controllers, services, and DTOs, following a structured workflow for building features.
  • Containerization with Docker is implemented using a multi-stage Dockerfile and docker-compose for consistent deployment.

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Consistent Hashing Explained

  • Consistent hashing is a technique used for distributing data evenly across servers, ensuring minimal data movement when servers are added or removed.
  • In consistent hashing, servers are positioned in a circle, and each data item is assigned to the nearest server in a clockwise direction on the circle.
  • This method helps in maintaining a balanced distribution of data, reducing the need for extensive data relocation when the system scales.
  • It ensures that the addition or removal of a server affects only a small portion of the data, unlike traditional hashing methods where most data needs to be redistributed.
  • Virtual nodes are introduced to enhance load distribution by mapping servers to multiple virtual positions on the circle.
  • Implementations such as Redis, Cassandra, and DynamoDB employ consistent hashing to manage data distribution efficiently.
  • The demonstration includes an example of a JavaScript code implementation of consistent hashing for educational purposes.
  • The code showcases key functions like hash calculation, adding/removing servers, finding server for a key, and maintaining balanced data distribution.
  • For real-world implementation, optimizations like faster hashing algorithms, increased virtual nodes, and data persistence are recommended.
  • Consistent hashing provides a scalable solution for maintaining data consistency and efficient load balancing in distributed systems.

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Ghost

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🫶 Reassuring your readers

  • Maintaining authenticity and emotional connection with readers is crucial for successful content creation.
  • Handling customer complaints effectively is key to building trust and loyalty.
  • Listening, empathizing, and finding solutions are essential steps in addressing complaints.
  • Following up with customers after resolving issues shows care and concern for their satisfaction.
  • Sharing personal stories, qualifications, and unique aspects can help build trust with readers.
  • Using social proof and setting clear expectations contribute to building credibility with the audience.
  • Consistently providing high-quality content is vital for maintaining trust and loyalty.
  • Measuring and improving subscriber happiness can enhance brand morale and customer relationships.
  • Collecting feedback, responding to comments, and personalizing experiences are ways to boost subscriber satisfaction.
  • Rewarding loyal followers and tracking satisfaction levels can further strengthen reader engagement and loyalty.

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Dynamic Binding of CSS Classes and Styles in Vue 3, Svelte 5 and Angular

  • On day 9, Vue 3, SvelteKit, and Angular showcase dynamic CSS Class and Style binding.
  • Vue 3 and SvelteKit demo dynamic CSS Class Binding to list items using arrays or Objects.
  • Vue 3 toggles strikeout class on purchase and applies priority class on high priority.
  • SvelteKit warns against clickable
  • and uses a button for toggling purchased property.
  • Angular 19 introduces @let syntax for creating temporary variables in templates.
  • Angular binds CSS classes using [class] syntax, merging classes based on properties.
  • Vue 3, SvelteKit, and Angular demonstrate dynamic Style Binding for high priority checkboxes.
  • Vue 3 uses inline style binding for changing font-weight based on checkbox status.
  • SvelteKit uses style:property binding to apply CSS values to inline style based on checkbox status.
  • Angular binds the font-weight style using [style.property] syntax, converting camel case in CSS.
  • Resources provide documentation on class and style bindings in Vue, Svelte, and Angular.
  • Github repositories and pages showcase Vue 3, Angular, and Svelte code implementations.
  • The article demonstrates practical examples of dynamic CSS and style bindings in modern frontend frameworks.

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"Record" utility type in TypeScript

  • Record is a TypeScript utility type that allows defining an object type with specific keys and a consistent value type.
  • It is defined using the syntax Record, where Keys represent the keys the object will have and ValueType specifies the value type associated with those keys.
  • Examples of using Record include defining role permissions, status labels, country names, translations, product catalog, and feature flags.
  • Record utility type in TypeScript is beneficial for creating structured data types and maintaining type consistency within an object.

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What is Selenium? Why Choose Selenium for Automation? The Power Couple: Selenium and Python for Automation Testing

  • Selenium is a versatile open-source framework for automating web browsers, offering tools like WebDriver, IDE, and Grid for efficient testing with real user interaction.
  • Choosing Selenium for automation testing provides advantages such as being open-source, efficient, supporting parallel execution, integrating with CI/CD tools, and enhancing test management.
  • The combination of Selenium and Python for automation testing is powerful due to Python's simplicity, readability, and extensive library support, along with Selenium's robust web automation capabilities.
  • Python's ease of use and cross-platform support complement Selenium, enabling the development of efficient and scalable test automation frameworks for high-quality web applications.

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Maximizing the Sum of Squared Segment Totals(Problem SOlving)

  • Given a list of integers and an integer k, the goal is to split the list into k non-empty consecutive parts and maximize the sum of squared values of each part.
  • The problem requires finding the optimal way to split the list to achieve the highest score.
  • Constraints include list length up to 200,000, handling negative and positive numbers, and time and memory limits.
  • A high-level solution involves using prefix sums for fast range sums and dynamic programming over splits.
  • The Li Chao tree data structure helps optimize the quadratic inner maximization, leading to an overall complexity of O(k * n log n).
  • The JavaScript implementation uses BigInt to prevent overflow and includes a Li Chao class for maximum line evaluation.
  • The DP loop and line insertion in the implementation facilitate finding the highest score by splitting the array into k parts.
  • The implementation handles the problem efficiently for large n and moderate k.
  • Overall, the approach involves dynamic programming, prefix sums, and the Li Chao tree data structure to solve the problem effectively.
  • The code snippet provided offers a solution to the problem and demonstrates the practical implementation in JavaScript.
  • The example input with the list [1, 2, -1, 2, 3] and k=2 outputs a maximum score of 29.

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Javarevisited

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Top 8 Courses to learn Pandas and Python Data Analysis for Beginners in 2025 - Best of Lot

  • Pandas is a powerful Python library for Data Analysis, widely used by Data scientists for tasks like cleaning, transformation, and manipulation of data.
  • Learning Pandas is crucial for effectively working with real-world messy data before analysis and is essential in the field of Data Science.
  • Here are the top online courses recommended for learning Pandas and Data Analysis with Python in 2025.
  • Java, Unix, Tibco RV and FIX Protocol Tutorial

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Unlocking AI Tool Calls: Building a Local MCP Server with Ollama

  • The post explores building a local AI agent that can call external tools using a custom Model Context Protocol (MCP) server with Ollama's on-device LLM hosting.
  • It covers how MCP standardizes tool integrations, defining and validating tools with Pydantic, configuring Ollama for function calling, and orchestrating end-to-end interactions.
  • Key benefits like enhanced privacy, improved performance, and greater extensibility are highlighted, along with common pitfalls to avoid.
  • MCP, an open standard introduced by Anthropic, allows LLMs to discover and invoke external tools through a uniform RPC-style interface, simplifying integration and enhancing security.

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🔐 How to Build a Login Endpoint in Django Rest Framework (DRF)

  • The news article explains how to build a secure Login Endpoint in Django Rest Framework (DRF).
  • The tutorial covers accepting and validating user credentials, authenticating users with Django's default auth system, and returning responses and tokens.
  • Understanding DRF's authentication for token-based authentication is crucial for building APIs, be it for full-stack apps or API-only backends.
  • Tools used include Django 4.x, Django Rest Framework, Python's built-in authenticate() method, and optional token libraries like JWT or DRF's token auth.

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Unpacking CompactBinaryData (CBD): The Lean, Mean Binary Serialization Machine

  • CBD is a binary serialization format designed for efficiency and simplicity in resource-constrained environments.
  • It consists of three main sections: Header, Dictionary, and Data, ensuring compactness and ease of parsing.
  • CBD uses varints and numeric IDs for efficient encoding, making it ideal for applications with limited bandwidth and processing power.
  • With planned extensions and version 0.1.0 limitations, CBD aims to provide a versatile solution for efficient data serialization.

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Shared Libraries in Dynamics 365 CE: Why You Should Centralize Your Code

  • Centralizing code into shared libraries in Dynamics 365 CE can bring several benefits.
  • Benefits include improved code reusability, consistency across frontend and backend, faster onboarding for developers, reduced bugs, and compatibility with DevOps practices.
  • Shared libraries help in avoiding code repetition, maintaining consistency between JavaScript and C#, accelerating development velocity, reducing bugs, and facilitating DevOps and CI/CD integration.
  • Real-world examples include JavaScript shared libraries like formHelper.js and C# shared utility classes like BusinessLogic.Helpers.cs.

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