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1000 results for “data0”

  1. Ever wish your R pipelines talked back? 📣

    logrittr adds a verbose pipe (%>=%) that logs what’s happening at every step—rows, columns, changes, and timing—without touching your dplyr code.

    Great for debugging, teaching, or just understanding your data flow.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  2. Ever wish your R pipelines talked back? 📣

    logrittr adds a verbose pipe (%>=%) that logs what’s happening at every step—rows, columns, changes, and timing—without touching your dplyr code.

    Great for debugging, teaching, or just understanding your data flow.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  3. Ever wish your R pipelines talked back? 📣

    logrittr adds a verbose pipe (%>=%) that logs what’s happening at every step—rows, columns, changes, and timing—without touching your dplyr code.

    Great for debugging, teaching, or just understanding your data flow.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  4. Ever wish your R pipelines talked back? 📣

    logrittr adds a verbose pipe (%>=%) that logs what’s happening at every step—rows, columns, changes, and timing—without touching your dplyr code.

    Great for debugging, teaching, or just understanding your data flow.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  5. Ever wish your R pipelines talked back? 📣

    logrittr adds a verbose pipe (%>=%) that logs what’s happening at every step—rows, columns, changes, and timing—without touching your dplyr code.

    Great for debugging, teaching, or just understanding your data flow.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  6. Hej, är det någon kunnig programmerare som kan tala om för mig hur lätt/svårt det är att ställa om till permanent normaltid och hur lång tid det skulle kunna ta?

    #programming #computer #timechange #DST #DaylightSaving #StopTimeChange #data

  7. Today's #MemeMonday happens to also coincide with #StarWarsDay. It's NOT a trap! Here at the DRP, we use @[email protected]'s #DataLumos for our #DataRescue efforts. Whether it's in ICPSR or another repository, we encourage you to preserve and publish your data, enabling maximum reuse.

  8. Today's #MemeMonday happens to also coincide with #StarWarsDay. It's NOT a trap! Here at the DRP, we use @[email protected]'s #DataLumos for our #DataRescue efforts. Whether it's in ICPSR or another repository, we encourage you to preserve and publish your data, enabling maximum reuse.

  9. Today's #MemeMonday happens to also coincide with #StarWarsDay. It's NOT a trap! Here at the DRP, we use @[email protected]'s #DataLumos for our #DataRescue efforts. Whether it's in ICPSR or another repository, we encourage you to preserve and publish your data, enabling maximum reuse.

  10. Today's #MemeMonday happens to also coincide with #StarWarsDay. It's NOT a trap! Here at the DRP, we use @[email protected]'s #DataLumos for our #DataRescue efforts. Whether it's in ICPSR or another repository, we encourage you to preserve and publish your data, enabling maximum reuse.

  11. Today's #MemeMonday happens to also coincide with #StarWarsDay. It's NOT a trap! Here at the DRP, we use @[email protected]'s #DataLumos for our #DataRescue efforts. Whether it's in ICPSR or another repository, we encourage you to preserve and publish your data, enabling maximum reuse.

  12. Data Centers Emerge as Prime Targets in Cyber Warfare

    In today's digital age, data centers have become a high-stakes battleground in cyber warfare, with modern economies, militaries, and corporations relying heavily on digital infrastructure to stay competitive and operational. A recent attack in the Middle East that took out cloud data centers served as a wake-up call, highlighting…

    osintsights.com/data-centers-e

    #CyberWarfare #DataCenters #EmergingThreats #ArtificialIntelligence #NationalSecurity

  13. Engineering guide to data infrastructure for production AI systems — S3-compatible object storage (MinIO, Garage, AWS S3), PostgreSQL, Elasticsearch, streaming and messaging (Kafka, Airflow, queues), SaaS integrations, AI-native data layers, benchmarks, and trade-offs.

    #data #infrastructure #s3 #minio #postgresql #database

    glukhov.org/data-infrastructur

  14. Engineering guide to data infrastructure for production AI systems — S3-compatible object storage (MinIO, Garage, AWS S3), PostgreSQL, Elasticsearch, streaming and messaging (Kafka, Airflow, queues), SaaS integrations, AI-native data layers, benchmarks, and trade-offs.

    #data #infrastructure #s3 #minio #postgresql #database

    glukhov.org/data-infrastructur

  15. Engineering guide to data infrastructure for production AI systems — S3-compatible object storage (MinIO, Garage, AWS S3), PostgreSQL, Elasticsearch, streaming and messaging (Kafka, Airflow, queues), SaaS integrations, AI-native data layers, benchmarks, and trade-offs.

    #data #infrastructure #s3 #minio #postgresql #database

    glukhov.org/data-infrastructur

  16. Engineering guide to data infrastructure for production AI systems — S3-compatible object storage (MinIO, Garage, AWS S3), PostgreSQL, Elasticsearch, streaming and messaging (Kafka, Airflow, queues), SaaS integrations, AI-native data layers, benchmarks, and trade-offs.

    glukhov.org/data-infrastructur

  17. 🔎 Latest in FirstView: Katherine Peck et al. used procedural generation to create synthetic training #data for detecting rare features like historic tar kilns. The study shows these models can successfully identify real-world objects in #lidar scans. 💻🏺

    cambridge.org/core/journals/ad

  18. 🔎 Latest in FirstView: Katherine Peck et al. used procedural generation to create synthetic training #data for detecting rare features like historic tar kilns. The study shows these models can successfully identify real-world objects in #lidar scans. 💻🏺

    cambridge.org/core/journals/ad

  19. 🔎 Latest in FirstView: Katherine Peck et al. used procedural generation to create synthetic training #data for detecting rare features like historic tar kilns. The study shows these models can successfully identify real-world objects in #lidar scans. 💻🏺

    cambridge.org/core/journals/ad

  20. 🔎 Latest in FirstView: Katherine Peck et al. used procedural generation to create synthetic training #data for detecting rare features like historic tar kilns. The study shows these models can successfully identify real-world objects in #lidar scans. 💻🏺

    cambridge.org/core/journals/ad