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  • Topics Everyone Is Talking About No253

    Gitmal Static Pages Generator for Git Repositories • Dont Click Here • Entering the Public Domain in 2026 • Lets Encrypt to Shorten Certificate Lifetimes to 45 Days • FreeBSD 15.0-RELEASE Now Available

    02/12/2025
    Blog, News
    Authentication, Authorization, Backend, BrowserAPIs, CloudComputing, CPlusPlus, CyberSecurity, DeveloperTooling, Encryption, Frontend, Git, InfrastructureAsCode, Linux, Networking, OpenSource, OperatingSystems, ProductManagement, ProjectManagement, SecureCoding, StaticSiteGeneration, SystemsThinking, TLSSSL, VersionControl, WebPerformance, WebSecurity
  • Topics Everyone Is Talking About No252

    John Giannandrea to Retire from Apple in 2026 • Hidden Art: The Secret Illustrations Inside Switzerlands Maps • Claude 4.5 Opus: The Hidden Soul Document Inside a Language Model

    02/12/2025
    Blog, News
    AIResearch, ArtificialIntelligence, DataScience, DataVisualization, DeepLearning, GenerativeAI, iOS, MachineLearning, NaturalLanguageProcessing, OpenSource, OrganizationalChange, ProductManagement, SystemsThinking
  • Best practices: avoid mutable default arguments

    Mutable default arguments in Python can lead to unpredictable bugs because they are evaluated once at function definition, not at each call. This post explains why this happens, demonstrates real-world implications, and provides modern best practices, tools, and patterns to avoid these issues safely.

    02/12/2025
    Blog, Courses
    BestPractices, Channel Specials, Functions, MutableDefaults
  • Empirical: Airflow vs Prefect performance comparison

    This empirical benchmark compares Apache Airflow and Prefect in real-world orchestration scenarios. Through detailed performance testing, it reveals how each handles scalability, latency, and fault recovery under heavy workloads in 2025 environments.

    02/12/2025
    Blog, Courses
    Airflow, Benchmark, Data Engineering, Prefect
  • Intro to model evaluation metrics

    Understanding model evaluation metrics is essential for every machine learning practitioner. This post introduces key concepts such as accuracy, precision, recall, F1-score, and more—explaining when and why to use each. It also highlights modern metrics for generative and fair AI systems, and shows practical examples using popular libraries like scikit-learn and PyTorch Lightning.

    02/12/2025
    Blog, Courses
    Data Science, Evaluation, Intro, Metrics
  • Tools: black, ruff, pre-commit, mypy

    Learn how Black, Ruff, Pre-commit, and Mypy work together to automate code quality in modern Python development. This guide covers setup, configuration, and integration strategies for building consistent, type-safe, and production-grade Python workflows used by leading tech companies.

    02/12/2025
    Blog, Courses
    Black, Mypy, PreCommit, Python, Ruff, Tools
  • Intro to model evaluation metrics

    Learn the fundamentals of model evaluation metrics in machine learning, including accuracy, precision, recall, F1-score, and beyond. This beginner-friendly guide covers classification, regression, and generative model metrics, along with modern fairness tools and practical examples using scikit-learn and PyTorch.

    02/12/2025
    Blog, Courses
    Data Science, Evaluation, Intro, Metrics
  • Topics Everyone Is Talking About No251

    DeepSeek-V3.2: Advancing the Frontier of Open Large Language Models • India Orders Smartphone Makers to Preload Government Cyber Safety App • Tracking Anti-Cheat Compatibility for Linux and Proton • High-Income Job Losses Are Cooling Housing Demand • LLMs Are Failing And Another AI Winter May Be Near…

    02/12/2025
    Blog, News
    Android, ArtificialIntelligence, Authorization, BigData, CyberPhysicalSystems, DataScience, DataVisualization, DeepLearning, DeveloperTooling, GameDevelopment, GenerativeAI, Hardware, iOS, Linux, MachineLearning, MLOps, NaturalLanguageProcessing, OpenSource, OperatingSystems, PenetrationTesting, SystemsThinking, WebSecurity, ZeroTrust
  • Topics Everyone Is Talking About No250

    Why Do Compilers Use xor eax, eax? • Algorithms for Optimization Second Edition • Punycode: A Brilliant Example of Algorithmic Elegance • Building the Worlds First JPEG XL MD5 Hash Quine • Size Matters: Designing Code by Shape, Not Length

    01/12/2025
    Blog, News
    Algorithms, Assembly, CompilerDesign, ComplexityAnalysis, Compression, ComputerVision, CPlusPlus, DataScience, DataStructures, Encoding, Hashing, ImageProcessing, MachineLearning, Networking, OpenSource, OperatingSystems, Optimization, PerformanceEngineering, PerformanceOptimization, SystemsThinking, WebSecurity
  • Topics Everyone Is Talking About No249

    Internet Handle: The Future of Decentralized Online Identity • From GitHub to Codeberg: Lessons in Open-Source Independence • Slop Evader: A Search Engine for the Pre-AI Web • When a Command Goes Wrong: The Google Antigravity Drive Wipe

    01/12/2025
    Blog, News
    Authentication, CloudComputing, DataLoss, DevEx, GenerativeAI, Git, GitHub, GoogleCloud, IdentityManagement, Infrastructure, MachineLearning, NaturalLanguageProcessing, Observability, OpenSource, SearchEngines, VersionControl, WebSecurity
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