教學課程:在 Jupyter Notebook 中以視覺化方式呈現 BigQuery 資料
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教學課程:說明如何在 Jupyter 筆記本中使用 BigQuery
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[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis tutorial demonstrates how to utilize BigQuery within a Jupyter notebook environment.\u003c/p\u003e\n"],["\u003cp\u003eIt requires the prior setup of Python following the BigQuery client libraries quickstart guide.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to BigQuery is needed and instructions can be found via the Application Default Credentials setup.\u003c/p\u003e\n"],["\u003cp\u003eA code sample is provided to query the natality public dataset, showing the number of births by year, and limited to the top 15 years.\u003c/p\u003e\n"],["\u003cp\u003eIt is possible to find other code samples from the Google Cloud sample browser.\u003c/p\u003e\n"]]],[],null,["# Tutorial: Visualizing BigQuery Data in a Jupyter Notebook\n\nA tutorial that shows how to use BigQuery in a Jupyter notebook\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[BigQuery quickstart using\nclient libraries](/bigquery/docs/quickstarts/quickstart-client-libraries).\n\n\nFor more information, see the\n[BigQuery Python API\nreference documentation](/python/docs/reference/bigquery/latest).\n\n\nTo authenticate to BigQuery, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for client libraries](/bigquery/docs/authentication#client-libs).\n\n %%bigquery\n SELECT\n source_year AS year,\n COUNT(is_male) AS birth_count\n FROM `bigquery-public-data.samples.natality`\n GROUP BY year\n ORDER BY year DESC\n LIMIT 15\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=bigquery)."]]