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Building a Secure Authentication System in Node.js using JWT

  • Building a Secure Authentication System in Node.js using JWT
  • Authentication is a crucial aspect of backend development, ensuring secure access to resources.
  • In this tutorial, we'll build a secure authentication system in Node.js using JSON Web Tokens (JWT).
  • You've successfully built a secure authentication system in Node.js using JWT. This setup ensures users can securely authenticate and access protected resources.

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Discrete Mathematics at Play —  The 2187-Ball Puzzle Explained

  • A shopkeeper has 2,187 identical balls, but one is slightly heavier.
  • Using the concept of ternary decision tree, the puzzle is solved in 7 weighings.
  • Ternary search is more efficient than binary search for this problem.

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Serverless Spring Boot with Knative on Kubernetes

  • Knative enables serverless auto-scaling for Spring Boot microservices on Kubernetes, optimizing resource usage and supporting event-driven architectures.
  • It abstracts complexity involved in serverless workloads on Kubernetes, offering features like automatic scaling to zero, event-driven execution, and observability.
  • Benefits of using Knative for Spring Boot include efficient resource utilization, simplified deployment, event-driven capabilities, and automatic traffic routing.
  • To deploy a Spring Boot app with Knative, prepare your Kubernetes cluster, create the application, containerize and push it, define a Knative service, and access the deployed service.
  • Enable auto-scaling in Knative by configuring annotations for scaling behavior based on incoming requests, ensuring minimum instances and defining scaling limits.
  • Knative Eventing allows services to respond to Kafka events, HTTP events, and cloud events, enabling event-driven execution in Spring Boot.
  • By leveraging Knative, developers can build efficient, cost-effective microservices that scale dynamically based on real-time traffic and events in Kubernetes.
  • Knative offers serverless scaling, event-driven execution, and automatic traffic routing for Spring Boot applications, promoting efficiency and cost-effectiveness.
  • With Knative and Spring Boot, serverless Java becomes a reality, providing seamless scalability and cost optimization for modern cloud-native applications.

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Embedding Models You Can Use in Your Next Project For Free

  • This article highlights powerful embedding models that are free and open-source.
  • The models discussed in the article are Qodo-Embed-1, Multi-Functionality, Multi-Linguality, and Multi-Granularity model, Universal Sentence Encoder, Sentence-Transformers, and Instructor-Base.
  • These models can be used for various tasks such as code search, retrieval-augmented generation, search, semantic ranking, FAQ retrieval, real-time inference, and more.
  • All the models are available on HuggingFace and can be accessed through the sentence_transformers library.

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I’m Doing It…I’m Building a Python SIP Softphone

  • Building a Python SIP Softphone involves connecting sockets, audio, and protocol rules into a real-time application.
  • The SIP protocol itself is defined in RFC 3261, and building a robust softphone requires honoring the rules in that document.
  • SIP messages are stateless and flow over UDP, which means your softphone must handle the state of calls and handle repeated or out-of-order messages.
  • Matching incoming 200 OK responses requires comparing against existing transactions in the SIP stack.

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Frontend MCP Tool Development Tutorial

  • MCP (Model Context Protocol) is a protocol for building interactions between AI models and external tools, enabling custom tools and resources creation to perform specific tasks.
  • Core concepts of MCP include StdioServerTransport for communication, McpServer for tool management, Tool for task execution, and Resource for data or state management.
  • Usage examples of MCP involve the typescript-sdk for development, installation of necessary npm packages, and creating a visual testing tool using Playwright for UI testing.
  • Important functions like login, auto-login, and visual test core function are implemented along with defining and configuring the MCP tool for UI testing.
  • The project repository for the MCP visual test tool can be found at https://www.npmjs.com/package/@anguske/mcp-playwright-visual-test.
  • Configuration details for Cursor usage, specifying environment variables for auto login, viewport dimensions, test threshold, and more, are crucial for tool execution.
  • Adding a resource for test results and adhering to best practices like parameter validation, error handling, resource management, tool design, and configuration management are recommended.
  • In conclusion, leveraging MCP framework facilitates building robust AI applications and adhering to best practices ensures code quality, maintainability, and user satisfaction.

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Building Cleaner APIs with Dependency Injection in ASP.NET Core

  • Dependency Injection in ASP.NET Core is a design pattern that helps keep your code flexible, modular, and easier to test.
  • In ASP.NET Core, you can register a service using the built-in DI system and inject it into your endpoint without manually instantiating the objects.
  • In a basic example of an API that returns a list of products, without DI, the handler is responsible for creating and using the ProductRepository.
  • By embracing DI, you can have scalable, test-friendly code that is easier to maintain and future-proof, even in small examples like a product API.

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Top 5 Tools for ML Experiment Tracking in 2025

  • MLflow: Language Agnostic, Seamless Integration, Scalable
  • W&B (Weights & Biases): Ease of Use, Cloud & Local Support, Free for Individuals
  • TensorBoard: Built for TensorFlow, Real-Time Visualization, Open Source
  • Neptune.ai: Flexible Integration, Collaboration Focused, Great for Research
  • Comet ML: Easy Integration, Customizable Dashboards, Team Collaboration

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“Tuples: The Silent Powerhouse of Data Handling in Programming”

  • A tuple is an ordered, immutable collection of elements in programming.
  • Tuples are widely used in real-world applications due to their immutability, efficiency, and structural integrity.
  • Tuples allow functions to return multiple values efficiently.
  • Tuples play a crucial role in various industries, offering a robust solution for structured data representation.

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Enhancing AI Superpowers: Unlocking the Full Potential of Artificial Intelligence

  • Advancements in Machine Learning Algorithms, including Transformers and Large Language Models (LLMs), Self-Supervised Learning, and Reinforcement Learning.
  • Hybrid AI Models that combine symbolic AI, neural networks, and probabilistic reasoning to create adaptable and efficient systems.
  • AI's creativity and problem-solving abilities in generating art, music, optimizing designs, and assisting in writing.
  • AI-powered scientific discovery in fields such as medicine, chemistry, and physics, including protein folding with DeepMind's AlphaFold.

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Leader Spotlight: Fostering authentic relationships, with Michelle Dunivan

  • Michelle Dunivan, Senior Director at Best Friends Animal Society, emphasizes the importance of authentic relationships in the workplace.
  • She discusses strategies for promoting a data-driven culture, including building trust and transparency with colleagues and managers.
  • Michelle highlights the need to evangelize the data-driven perspective and work collaboratively to effect change in organizations.
  • She shares insights on getting buy-in for new ideas, emphasizing the importance of investing time to demonstrate possibilities and involve team members in decision-making.
  • Michelle recounts a success story where her team addressed data quality issues during the pandemic by engaging employees in data clean-up work.
  • When building a new team, Michelle stresses the importance of trust, authentic relationships, and assessing skill sets to ensure alignment with business needs.
  • She looks for candidates with traits like detail orientation, big-picture thinking, curiosity, and a willingness to learn from mistakes.
  • Michelle believes that failure leads to important learnings and assesses candidates' attitude towards experimentation and handling mistakes during interviews.
  • To bring a team through transformative change, she emphasizes the need for authentic relationships, transparency, and open communication to build trust and foster resilience.
  • Overall, Michelle's insights underscore the significance of trust, transparency, and relationship-building in driving cultural change and fostering success in data-driven initiatives.

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Top 7 Amazing Free Chrome Extensions Every Researcher Should Know About

  • Google Scholar Button: A Chrome extension that allows users to search for scholarly articles without leaving the page they are on.
  • Paperpile: An extension that enables users to save and organize PDFs from the web, making it easier to access research files across devices.
  • EndNote Click: A tool that helps researchers obtain full-text PDFs, including those behind paywalls, and saves them to the EndNote library.
  • These free Chrome extensions provide time-saving solutions for researchers, making it easier to search for articles, organize files, and access full-text PDFs.

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Measuring your program speed correctly

  • Measuring program speed accurately involves considering nanosecond precision, especially with CPUs operating at GHz frequencies.
  • The time command in POSIX systems provides real, user, and system times for processes, giving insights into program performance.
  • Using gettimeofday and getrusage syscalls in C/C++ allows for measuring CPU and system resource usage with microsecond precision.
  • Clock_t provides a more granular measurement based on hardware clock ticks, offering microsecond precision for timing computations.
  • To achieve nanosecond precision, C++'s chrono library with high_resolution_clock can be utilized for accurate time measurements.
  • The Time Stamp Counter (TSC) on x86 processors offers cycle-level precision using the rdtsc assembly instruction.
  • By leveraging TSC, one can achieve nanosecond level precision for program execution time, surpassing other timing methods.
  • Comparing different timing methods showcases the trade-offs between precision and overhead in measuring program performance.
  • Optimizing code and utilizing lower-level hardware-specific instructions like rdtsc can significantly enhance timing precision and accuracy.
  • Achieving precise timing measurements is crucial for understanding and optimizing program performance, from milliseconds to nanoseconds.
  • Overall, the journey from millisecond to nanosecond precision highlights the importance of choosing the right timing method for accurate performance assessment.

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From Pixels to Plans: Cracking 2048 with Reinforcement Learning and Beam Search

  • The 2048 AI project's modular design includes separate directories for environment logic, agent policies, utility functions, and entry-point scripts, ensuring clear responsibilities separation.
  • The Game2048Env class is crucial, providing a simulation environment based on 2048 game rules, managing tile movements, scoring, and reward assignment.
  • Proximal Policy Optimization (PPO) is used, optimizing policies directly while preventing large updates to maintain training stability.
  • PPO agent's training involves collecting experience tuples and updating policies periodically with clipped objectives to prevent large policy shifts.
  • The PPO agent reached a maximum tile of 512 after 1000 episodes of training but struggled to consistently reach the 2048 tile due to sparse rewards and high outcome variance.
  • Beam Search, a planning-based agent, simulates possible futures with a heuristic evaluation function, avoiding the need for extensive training and generalizing effectively.
  • Beam Search scored significantly better than PPO in reaching higher tiles in 2048 due to its efficient search and utilization of local information.
  • The PPOBeamHybridAgent combines PPO and Beam Search, using PPO in early stages and transitioning to Beam Search in complex board states, showing promise in tactical scenarios.
  • While PPO offers flexibility and generalization, Beam Search excels in exploiting local information efficiently, making it valuable for games like 2048.
  • Future work could explore the effective blending of planning and learning in AI for enhanced decision-making.

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How to Scrape TikTok to Obtain Video Information?

  • TikTok is a valuable platform for data gathering, and this article explains how to scrape TikTok for video information through hidden API or embedded datasets.
  • Scraping TikTok allows for trend analysis, lead generation, and sentiment analysis by extracting user profiles, demographics, videos, hashtags, comments, engagement metrics, and trends.
  • The process involves extracting data like view counts, video descriptions, music names, release dates, tags, likes, comments, shares, and bookmarks through HTML structure analysis.
  • To build a TikTok scraper, you need to understand the structure of TikTok videos and locate key data elements like view count, video description, tags, music title, upload date, like count, comment count, share count, and bookmark count.
  • The scraping code provided in the article enables the extraction of video information, handling of CAPTCHA, and downloading videos.
  • While manual scraping can be tedious, using a third-party scraping API can enhance efficiency, accuracy, and applicability across various business scenarios for collecting TikTok data.
  • The API retrieves Walmart product details efficiently and accurately for price monitoring, inventory tracking, review analysis, and market research.
  • Scrapeless offers a powerful unofficial TikTok API for gathering large-scale TikTok data, including popular videos, user profiles, individual video posts, and video/music-related data.
  • To scrape TikTok data using the API, you create an API token, enter TikTok API details, configure request parameters, and start scraping for video search results or user profile information.
  • With the scraping API, you can easily extract TikTok data without complex coding, enabling trend analysis, research, and data exploration with simplified parameter configuration.

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