Best of Data Science — February 2026

  1. 1
    Article
    Avatar of colkgirlCode Like A Girl·15w

    I analyzed 50,000 Dating Profiles to Decipher the Myths of Love in Algorithm

    A data scientist analyzes 50,000 dating app profiles to debunk common dating myths using Python and machine learning. The analysis reveals that urban users get 40% more successful relationships but double the catfish rate, picky swipers (right-swipe <25%) perform better than desperate ones, and spending more time on apps doesn't increase matches. A logistic regression model achieves 99.15% accuracy in predicting compatibility based on swipe behavior, app usage patterns, and shared interests—proving that behavioral alignment matters more than common hobbies.

  2. 2
    Article
    Avatar of tdsTowards Data Science·13w

    Is the AI and Data Job Market Dead?

    Despite recurring claims that data science is dying, job postings grew 130% year-over-year after bottoming out in mid-2023, and salaries continue to rise. The field has evolved from a generalist 'Swiss Army Knife' role into three distinct specializations: analyst, engineering (ML engineer), and infrastructure (data engineer). A 2025 study of 285,000 companies shows senior hiring is still growing while junior hiring has plateaued—not disappeared—making entry-level competition fiercer. To stand out, candidates should specialize in areas like GenAI or time series forecasting, build strong professional networks, develop soft skills AI can't replace, and consider starting in analyst roles before moving up.

  3. 3
    Article
    Avatar of rpythonReal Python·15w

    pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 – Real Python

    Python 3.15 alpha releases show JIT compiler performance gains of 7-8% on some platforms. pandas 3.0 introduces breaking changes including Copy-on-Write semantics, dedicated string dtype, and requires Python 3.11+. The PSF received $1.5M from Anthropic for security infrastructure improvements. PyTorch 2.10 deprecated TorchScript in favor of torch.export. PEP 822 proposes d-strings for cleaner multiline string handling. Black 26.1.0 stabilized its 2026 formatting style, and the Python Developers Survey 2026 is now open.

  4. 4
    Article
    Avatar of freecodecampfreeCodeCamp·12w

    Learn Python and Build Autonomous Agents

    A 6-hour freeCodeCamp course covering Python fundamentals through AI agent development. The curriculum spans four modules: Python essentials (variables, loops, functions), data science foundations (NumPy, Pandas, SQLite), API development (REST APIs, FastAPI), and AI/LLM integration including ChatGPT, Gemini, and open-source HuggingFace models for building autonomous agents.

  5. 5
    Video
    Avatar of devopstoolboxDevOps Toolbox·15w

    I was using Postgres wrong this whole time

    TimescaleDB transforms PostgreSQL into a high-performance time-series database through an open-source extension. The tutorial demonstrates core features including hyper tables (automatic data chunking by time), compression with delta encoding, time buckets for aggregating data at various intervals, and continuous aggregates that incrementally refresh materialized views. These capabilities enable PostgreSQL to handle millions of data points per second with 90% better compression than specialized NoSQL tools, while maintaining familiar SQL syntax and compatibility with existing PostgreSQL extensions.

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