{ "id": 273309, "title": "[Compilation] Good starter notebooks", "url": "/competitions/wikipedia-image-caption/discussion/273309", "author_name": "", "post_date": "2021-09-20T12:36:49.867933100Z", "votes": 17, "comment_count": 3, "views": 0, "content": "
    \n

  1. Starter EDA by @hijest. Very beginner friendly

    2. \n

  2. URLlib demo by @mpwolke. Her work in research competitions is worth reading. This one as well, about reading feather file

    3. \n

  3. Speeding up image downloads by GM @jpmiller

    4. \n

  4. Using data tables instead of pandas dataframe by @udbhavpangotra.

    5. \n

  5. A Great i/o trick by @aakashnain

    6. \n
\n

I wrote a notebook a while back here , about reading wikipedia tables directly using pandas.

\n

Bonus This post here by @kmldas lists winning solutions of previous similar competitors, credits to @usharengaraju

\n

All due credits to original authors.
\nPlease upvote the notebooks you do find useful and take inspiration from. It helps keep the community momentum going.
\nThanks

", "messages": [ { "id": "1518130", "postDate": "09/20/2021 12:36:49", "content": "
    \n

  1. Starter EDA by @hijest. Very beginner friendly

    2. \n

  2. URLlib demo by @mpwolke. Her work in research competitions is worth reading. This one as well, about reading feather file

    3. \n

  3. Speeding up image downloads by GM @jpmiller

    4. \n

  4. Using data tables instead of pandas dataframe by @udbhavpangotra.

    5. \n

  5. A Great i/o trick by @aakashnain

    6. \n
\n

I wrote a notebook a while back here , about reading wikipedia tables directly using pandas.

\n

Bonus This post here by @kmldas lists winning solutions of previous similar competitors, credits to @usharengaraju

\n

All due credits to original authors.
\nPlease upvote the notebooks you do find useful and take inspiration from. It helps keep the community momentum going.
\nThanks

", "rawMarkdown": "1. [Starter EDA](https://www.kaggle.com/hijest/wikipedia-image-caption-matching-starter-eda) by @hijest. Very beginner friendly\n\n2. [URLlib demo](https://www.kaggle.com/mpwolke/wikimedia-urllib) by @mpwolke. Her work in research competitions is worth reading. [This one as well, about reading feather file](https://www.kaggle.com/mpwolke/wikipedia-feather-file)\n\n3. [Speeding up image downloads](https://www.kaggle.com/jpmiller/faster-image-downloads) by GM @jpmiller \n\n4. [Using data tables instead of pandas dataframe](https://www.kaggle.com/udbhavpangotra/reading-the-data-datatable-works-like-a-charm) by @udbhavpangotra. \n\n5. [A Great i/o trick](https://www.kaggle.com/aakashnain/can-we-read-faster) by @aakashnain\n\nI wrote a notebook a while back [here](https://www.kaggle.com/kritidoneria/reading-wikipedia-tables-using-pandas) , about reading wikipedia tables directly using pandas.\n\n**Bonus** [This post here](https://www.kaggle.com/c/wikipedia-image-caption/discussion/272091) by @kmldas lists winning solutions of previous similar competitors, credits to @usharengaraju \n\nAll due credits to original authors.\nPlease upvote the notebooks you do find useful and take inspiration from. It helps keep the community momentum going.\nThanks", "votes": null }, { "id": "1518524", "postDate": "09/20/2021 17:58:22", "content": "

Thanks for the compilation.

", "rawMarkdown": "Thanks for the compilation.", "votes": null }, { "id": "1519976", "postDate": "09/22/2021 04:40:34", "content": "

thanks for sharing.
\ngood noteboos.

", "rawMarkdown": "thanks for sharing.\ngood noteboos.", "votes": null }, { "id": "1543456", "postDate": "10/13/2021 13:54:28", "content": "

This is very useful, especially for a novice like me!! Thank you for your work:D

", "rawMarkdown": "This is very useful, especially for a novice like me!! Thank you for your work:D", "votes": null } ], "comments": [ { "id": 1518524, "author_name": "towhidultonmoy", "author_url": "", "post_date": "09/20/2021 17:58:22", "content": "

Thanks for the compilation.

", "votes": null, "replies": [] }, { "id": 1519976, "author_name": "nakamurasyuta", "author_url": "", "post_date": "09/22/2021 04:40:34", "content": "

thanks for sharing.
\ngood noteboos.

", "votes": null, "replies": [] }, { "id": 1543456, "author_name": "ririrose", "author_url": "", "post_date": "10/13/2021 13:54:28", "content": "

This is very useful, especially for a novice like me!! Thank you for your work:D

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1518130": "1. [Starter EDA](https://www.kaggle.com/hijest/wikipedia-image-caption-matching-starter-eda) by @hijest. Very beginner friendly\n\n2. [URLlib demo](https://www.kaggle.com/mpwolke/wikimedia-urllib) by @mpwolke. Her work in research competitions is worth reading. [This one as well, about reading feather file](https://www.kaggle.com/mpwolke/wikipedia-feather-file)\n\n3. [Speeding up image downloads](https://www.kaggle.com/jpmiller/faster-image-downloads) by GM @jpmiller \n\n4. [Using data tables instead of pandas dataframe](https://www.kaggle.com/udbhavpangotra/reading-the-data-datatable-works-like-a-charm) by @udbhavpangotra. \n\n5. [A Great i/o trick](https://www.kaggle.com/aakashnain/can-we-read-faster) by @aakashnain\n\nI wrote a notebook a while back [here](https://www.kaggle.com/kritidoneria/reading-wikipedia-tables-using-pandas) , about reading wikipedia tables directly using pandas.\n\n**Bonus** [This post here](https://www.kaggle.com/c/wikipedia-image-caption/discussion/272091) by @kmldas lists winning solutions of previous similar competitors, credits to @usharengaraju \n\nAll due credits to original authors.\nPlease upvote the notebooks you do find useful and take inspiration from. It helps keep the community momentum going.\nThanks", "1518524": "Thanks for the compilation.", "1519976": "thanks for sharing.\ngood noteboos.", "1543456": "This is very useful, especially for a novice like me!! Thank you for your work:D" }, "source": "meta" }