{
  "feed_url": "https://gbilder.com/tags/pandas/feed.json",
  "home_page_url": "https://gbilder.com/tags/pandas/",
  "items": [
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://pola.rs/\"\u003ehttps://pola.rs/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2024-11-16T15:03:23+02:00",
      "external_url": "https://pola.rs/",
      "id": "https://gbilder.com/bookmarks/01M4EHSB36336X81SP59VW2F6E/",
      "tags": [
        "pidantic",
        "pandas"
      ],
      "title": "Polars — DataFrames for the new era",
      "url": "https://gbilder.com/bookmarks/01M4EHSB36336X81SP59VW2F6E/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://ibis-project.org/\"\u003ehttps://ibis-project.org/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2024-08-29T15:07:11+02:00",
      "external_url": "https://ibis-project.org/",
      "id": "https://gbilder.com/bookmarks/01M4EHS9PSV1JVMPJB1VTPFDKM/",
      "tags": [
        "python",
        "pandas",
        "databases"
      ],
      "title": "Ibis",
      "url": "https://gbilder.com/bookmarks/01M4EHS9PSV1JVMPJB1VTPFDKM/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://docs.coiled.io/blog/1brc.html\"\u003ehttps://docs.coiled.io/blog/1brc.html\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2024-06-10T19:26:06+02:00",
      "external_url": "https://docs.coiled.io/blog/1brc.html",
      "id": "https://gbilder.com/bookmarks/01M4EHS888JV25TDYVH1AZZQAG/",
      "tags": [
        "pandas",
        "python"
      ],
      "title": "One Billion Row Challenge (1BRC) in Python with Dask — Coiled documentation",
      "url": "https://gbilder.com/bookmarks/01M4EHS888JV25TDYVH1AZZQAG/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://github.com/Eventual-Inc/Daft\"\u003ehttps://github.com/Eventual-Inc/Daft\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2024-03-01T13:27:13+02:00",
      "external_url": "https://github.com/Eventual-Inc/Daft",
      "id": "https://gbilder.com/bookmarks/01M4EHS6895X66QTKFKQ8P8K9Q/",
      "tags": [
        "python",
        "pandas",
        "tryme"
      ],
      "title": "GitHub - Eventual-Inc/Daft: Distributed DataFrame for Python designed for the cloud, powered by Rust",
      "url": "https://gbilder.com/bookmarks/01M4EHS6895X66QTKFKQ8P8K9Q/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://blog.senx.io/demystifying-the-use-of-the-parquet-file-format-for-time-series/\"\u003ehttps://blog.senx.io/demystifying-the-use-of-the-parquet-file-format-for-time-series/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2024-01-17T23:39:42+02:00",
      "external_url": "https://blog.senx.io/demystifying-the-use-of-the-parquet-file-format-for-time-series/",
      "id": "https://gbilder.com/bookmarks/01M4EHS5Q64GMR1PQTDVNBHSH4/",
      "tags": [
        "python",
        "pandas",
        "time-series"
      ],
      "title": "Demystifying the use of the Parquet file format for time series - SenX",
      "url": "https://gbilder.com/bookmarks/01M4EHS5Q64GMR1PQTDVNBHSH4/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://stackoverflow.com/questions/66637683/setting-value-counts-that-lower-than-a-threshold-as-others\"\u003ehttps://stackoverflow.com/questions/66637683/setting-value-counts-that-lower-than-a-threshold-as-others\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-10-09T13:55:34+02:00",
      "external_url": "https://stackoverflow.com/questions/66637683/setting-value-counts-that-lower-than-a-threshold-as-others",
      "id": "https://gbilder.com/bookmarks/01M4EHS4FZ3NEDC3CA7447BPGZ/",
      "tags": [
        "pandas"
      ],
      "title": "pandas - Setting value_counts that lower than a threshold as others - Stack Overflow",
      "url": "https://gbilder.com/bookmarks/01M4EHS4FZ3NEDC3CA7447BPGZ/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://stackoverflow.com/questions/70470821/pandas-group-all-aggregates-smaller-then-x\"\u003ehttps://stackoverflow.com/questions/70470821/pandas-group-all-aggregates-smaller-then-x\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-10-05T21:47:38+02:00",
      "external_url": "https://stackoverflow.com/questions/70470821/pandas-group-all-aggregates-smaller-then-x",
      "id": "https://gbilder.com/bookmarks/01M4EHS4END991X99QEMEJCTGE/",
      "tags": [
        "pandas",
        "graphs"
      ],
      "title": "python - Pandas group all aggregates smaller then x - Stack Overflow",
      "url": "https://gbilder.com/bookmarks/01M4EHS4END991X99QEMEJCTGE/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://stackoverflow.com/questions/47242845/pandas-json-normalize-with-very-nested-json\"\u003ehttps://stackoverflow.com/questions/47242845/pandas-json-normalize-with-very-nested-json\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-08-07T15:57:49+02:00",
      "external_url": "https://stackoverflow.com/questions/47242845/pandas-json-normalize-with-very-nested-json",
      "id": "https://gbilder.com/bookmarks/01M4EHS3KH53P86BWAQ12Y1Q77/",
      "tags": [
        "pandas",
        "python"
      ],
      "title": "python - pandas json_normalize with very nested json - Stack Overflow",
      "url": "https://gbilder.com/bookmarks/01M4EHS3KH53P86BWAQ12Y1Q77/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://towardsdatascience.com/all-pandas-json-normalize-you-should-know-for-flattening-json-13eae1dfb7dd\"\u003ehttps://towardsdatascience.com/all-pandas-json-normalize-you-should-know-for-flattening-json-13eae1dfb7dd\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-08-07T15:53:29+02:00",
      "external_url": "https://towardsdatascience.com/all-pandas-json-normalize-you-should-know-for-flattening-json-13eae1dfb7dd",
      "id": "https://gbilder.com/bookmarks/01M4EHS3KFPT4AVHRX4N21385Y/",
      "tags": [
        "pandas",
        "python"
      ],
      "title": "All Pandas json_normalize() you should know for flattening JSON | by B. Chen | Towards Data Science",
      "url": "https://gbilder.com/bookmarks/01M4EHS3KFPT4AVHRX4N21385Y/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://blog.getdaft.io/p/introducing-daft-a-high-performance\"\u003ehttps://blog.getdaft.io/p/introducing-daft-a-high-performance\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-06-07T22:26:54+02:00",
      "external_url": "https://blog.getdaft.io/p/introducing-daft-a-high-performance",
      "id": "https://gbilder.com/bookmarks/01M4EHS2XSGY117ECQJZQ77YNA/",
      "tags": [
        "pandas",
        "airflow",
        "tryme"
      ],
      "title": "Introducing Daft: A High-Performance Distributed Dataframe Library for Multimodal Data",
      "url": "https://gbilder.com/bookmarks/01M4EHS2XSGY117ECQJZQ77YNA/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://thenybble.de/posts/json-analysis/\"\u003ehttps://thenybble.de/posts/json-analysis/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-03-18T18:36:00+02:00",
      "external_url": "https://thenybble.de/posts/json-analysis/",
      "id": "https://gbilder.com/bookmarks/01M4EHS212H6PXCDGNJXY7AXXS/",
      "tags": [
        "dask",
        "pandas",
        "python"
      ],
      "title": "Analyzing multi-gigabyte JSON files locally | thenybble.de",
      "url": "https://gbilder.com/bookmarks/01M4EHS212H6PXCDGNJXY7AXXS/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://github.com/Kanaries/pygwalker\"\u003ehttps://github.com/Kanaries/pygwalker\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-02-21T15:16:01+02:00",
      "external_url": "https://github.com/Kanaries/pygwalker",
      "id": "https://gbilder.com/bookmarks/01M4EHS1MSDAVW5MZDC7H3XKFR/",
      "tags": [
        "pandas"
      ],
      "title": "Kanaries/pygwalker: PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis",
      "url": "https://gbilder.com/bookmarks/01M4EHS1MSDAVW5MZDC7H3XKFR/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://towardsdatascience.com/extracting-information-from-xml-files-into-a-pandas-dataframe-11f32883ce45\"\u003ehttps://towardsdatascience.com/extracting-information-from-xml-files-into-a-pandas-dataframe-11f32883ce45\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-02-19T19:08:03+02:00",
      "external_url": "https://towardsdatascience.com/extracting-information-from-xml-files-into-a-pandas-dataframe-11f32883ce45",
      "id": "https://gbilder.com/bookmarks/01M4EHS1KCA9ZA6MQN7NYE6MH3/",
      "tags": [
        "xml",
        "pandas"
      ],
      "title": "Extracting information from XML files into a Pandas dataframe | by Parul Pandey | Towards Data Science",
      "url": "https://gbilder.com/bookmarks/01M4EHS1KCA9ZA6MQN7NYE6MH3/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://scribe.citizen4.eu/pandas-illustrated-the-definitive-visual-guide-to-pandas-c31fa921a43\"\u003ehttps://scribe.citizen4.eu/pandas-illustrated-the-definitive-visual-guide-to-pandas-c31fa921a43\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-01-27T23:21:09+02:00",
      "external_url": "https://scribe.citizen4.eu/pandas-illustrated-the-definitive-visual-guide-to-pandas-c31fa921a43",
      "id": "https://gbilder.com/bookmarks/01M4EHS193MA9S6438G8F5805T/",
      "tags": [
        "pandas",
        "python"
      ],
      "title": "Pandas Illustrated: The Definitive Visual Guide to Pandas",
      "url": "https://gbilder.com/bookmarks/01M4EHS193MA9S6438G8F5805T/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://www.confessionsofadataguy.com/replacing-pandas-with-polars-a-practical-guide/\"\u003ehttps://www.confessionsofadataguy.com/replacing-pandas-with-polars-a-practical-guide/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-01-22T15:09:11+02:00",
      "external_url": "https://www.confessionsofadataguy.com/replacing-pandas-with-polars-a-practical-guide/",
      "id": "https://gbilder.com/bookmarks/01M4EHS16K03R92ZWNB6Z0Y3ZB/",
      "tags": [
        "pandas",
        "polars"
      ],
      "title": "Replacing Pandas with Polars. A Practical Guide. - Confessions of a Data Guy",
      "url": "https://gbilder.com/bookmarks/01M4EHS16K03R92ZWNB6Z0Y3ZB/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://vickiboykis.com/2023/01/17/welcome-to-the-jungle-we-got-fun-and-frames/\"\u003ehttps://vickiboykis.com/2023/01/17/welcome-to-the-jungle-we-got-fun-and-frames/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-01-19T15:10:03+02:00",
      "external_url": "https://vickiboykis.com/2023/01/17/welcome-to-the-jungle-we-got-fun-and-frames/",
      "id": "https://gbilder.com/bookmarks/01M4EHS14X773NQFRGZNE2JFGQ/",
      "tags": [
        "parquet",
        "pandas",
        "spark",
        "python"
      ],
      "title": "Welcome to the jungle, we got fun and frames | ★❤✰ Vicki Boykis ★❤✰",
      "url": "https://gbilder.com/bookmarks/01M4EHS14X773NQFRGZNE2JFGQ/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://tomaugspurger.github.io/posts/modern-8-scaling/\"\u003ehttps://tomaugspurger.github.io/posts/modern-8-scaling/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-01-08T21:10:52+02:00",
      "external_url": "https://tomaugspurger.github.io/posts/modern-8-scaling/",
      "id": "https://gbilder.com/bookmarks/01M4EHS10MTHSBCD88HEWMYJ07/",
      "tags": [
        "pandas",
        "python"
      ],
      "title": "Modern Pandas (Part 8): Scaling | Tom's Blog",
      "url": "https://gbilder.com/bookmarks/01M4EHS10MTHSBCD88HEWMYJ07/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://kevinheavey.github.io/modern-polars/\"\u003ehttps://kevinheavey.github.io/modern-polars/\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-01-08T10:43:27+02:00",
      "external_url": "https://kevinheavey.github.io/modern-polars/",
      "id": "https://gbilder.com/bookmarks/01M4EHS108Z5S9F5B4A414KNN3/",
      "tags": [
        "pandas",
        "polars",
        "python"
      ],
      "title": "Modern Polars",
      "url": "https://gbilder.com/bookmarks/01M4EHS108Z5S9F5B4A414KNN3/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://www.dunderdata.com/blog/minimally-sufficient-pandas\"\u003ehttps://www.dunderdata.com/blog/minimally-sufficient-pandas\u003c/a\u003e\u003c/p\u003e\n",
      "date_published": "2023-01-08T10:39:02+02:00",
      "external_url": "https://www.dunderdata.com/blog/minimally-sufficient-pandas",
      "id": "https://gbilder.com/bookmarks/01M4EHS106EKGFWYV8M3HSTHT8/",
      "tags": [
        "python",
        "pandas"
      ],
      "title": "Minimally Sufficient Pandas - A guide to use pandas effectively",
      "url": "https://gbilder.com/bookmarks/01M4EHS106EKGFWYV8M3HSTHT8/"
    },
    {
      "content_html": "\n  \u003cp class=\"bafflegab-bookmark\"\u003eBookmarked \u003ca class=\"u-bookmark-of\" href=\"https://jakevdp.github.io/PythonDataScienceHandbook/03.11-working-with-time-series.html\"\u003ehttps://jakevdp.github.io/PythonDataScienceHandbook/03.11-working-with-time-series.html\u003c/a\u003e\u003c/p\u003e\n  \u003cdiv class=\"e-content\"\u003e\u003cp\u003epd.date_range(\u0026#x27;2015-07-03\u0026#x27;, \u0026#x27;2015-07-10\u0026#x27;)\u003c/p\u003e\u003c/div\u003e\n",
      "date_published": "2022-12-06T19:21:31+02:00",
      "external_url": "https://jakevdp.github.io/PythonDataScienceHandbook/03.11-working-with-time-series.html",
      "id": "https://gbilder.com/bookmarks/01M4EHS0JC12C1SK6M9HWJSNEN/",
      "tags": [
        "python",
        "time-series",
        "pandas"
      ],
      "title": "Working with Time Series | Python Data Science Handbook",
      "url": "https://gbilder.com/bookmarks/01M4EHS0JC12C1SK6M9HWJSNEN/"
    }
  ],
  "language": "en",
  "title": "#pandas · Louche Cannon",
  "version": "https://jsonfeed.org/version/1.1"
}