[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71B7TZJNXVJSJCMX47Q2TR1":3,"skill-same:01M71B7TZJNXVJSJCMX47Q2TR1":76},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M71B7TZJNXVJSJCMX47Q2TR1","azure-ai-translation-text-py",null,"Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fazure-ai-translation-text-py\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"azure ai","azure","azure ai translation text py","ai translation","text","translation","for","sdk","ai-translation","dictionary","triggers","time","use","translator","applications","real-time","detection","lookup","microsoft","translate","2026-11-10 10:12:30",false,"---\nname: azure-ai-translation-text-py\ndescription: |\n  Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\n  Triggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: azure-ai-translation-text\n---\n\n# Azure AI Text Translation SDK for Python\n\nClient library for Azure AI Translator text translation service for real-time text translation, transliteration, and language operations.\n\n## Installation\n\n```bash\npip install azure-ai-translation-text\n```\n\n## Environment Variables\n\n```bash\nAZURE_TRANSLATOR_KEY=\u003Cyour-api-key>\nAZURE_TRANSLATOR_REGION=\u003Cyour-region>  # e.g., eastus, westus2\n# Or use custom endpoint\nAZURE_TRANSLATOR_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\n```\n\n## Authentication\n\n### API Key with Region\n\n```python\nimport os\nfrom azure.ai.translation.text import TextTranslationClient\nfrom azure.core.credentials import AzureKeyCredential\n\nkey = os.environ[\"AZURE_TRANSLATOR_KEY\"]\nregion = os.environ[\"AZURE_TRANSLATOR_REGION\"]\n\n# Create credential with region\ncredential = AzureKeyCredential(key)\nclient = TextTranslationClient(credential=credential, region=region)\n```\n\n### API Key with Custom Endpoint\n\n```python\nendpoint = os.environ[\"AZURE_TRANSLATOR_ENDPOINT\"]\n\nclient = TextTranslationClient(\n    credential=AzureKeyCredential(key),\n    endpoint=endpoint\n)\n```\n\n### Entra ID (Recommended)\n\n```python\nfrom azure.ai.translation.text import TextTranslationClient\nfrom azure.identity import DefaultAzureCredential\n\nclient = TextTranslationClient(\n    credential=DefaultAzureCredential(),\n    endpoint=os.environ[\"AZURE_TRANSLATOR_ENDPOINT\"]\n)\n```\n\n## Basic Translation\n\n```python\n# Translate to a single language\nresult = client.translate(\n    body=[\"Hello, how are you?\", \"Welcome to Azure!\"],\n    to=[\"es\"]  # Spanish\n)\n\nfor item in result:\n    for translation in item.translations:\n        print(f\"Translated: {translation.text}\")\n        print(f\"Target language: {translation.to}\")\n```\n\n## Translate to Multiple Languages\n\n```python\nresult = client.translate(\n    body=[\"Hello, world!\"],\n    to=[\"es\", \"fr\", \"de\", \"ja\"]  # Spanish, French, German, Japanese\n)\n\nfor item in result:\n    print(f\"Source: {item.detected_language.language if item.detected_language else 'unknown'}\")\n    for translation in item.translations:\n        print(f\"  {translation.to}: {translation.text}\")\n```\n\n## Specify Source Language\n\n```python\nresult = client.translate(\n    body=[\"Bonjour le monde\"],\n    from_parameter=\"fr\",  # Source is French\n    to=[\"en\", \"es\"]\n)\n```\n\n## Language Detection\n\n```python\nresult = client.translate(\n    body=[\"Hola, como estas?\"],\n    to=[\"en\"]\n)\n\nfor item in result:\n    if item.detected_language:\n        print(f\"Detected language: {item.detected_language.language}\")\n        print(f\"Confidence: {item.detected_language.score:.2f}\")\n```\n\n## Transliteration\n\nConvert text from one script to another:\n\n```python\nresult = client.transliterate(\n    body=[\"konnichiwa\"],\n    language=\"ja\",\n    from_script=\"Latn\",  # From Latin script\n    to_script=\"Jpan\"      # To Japanese script\n)\n\nfor item in result:\n    print(f\"Transliterated: {item.text}\")\n    print(f\"Script: {item.script}\")\n```\n\n## Dictionary Lookup\n\nFind alternate translations and definitions:\n\n```python\nresult = client.lookup_dictionary_entries(\n    body=[\"fly\"],\n    from_parameter=\"en\",\n    to=\"es\"\n)\n\nfor item in result:\n    print(f\"Source: {item.normalized_source} ({item.display_source})\")\n    for translation in item.translations:\n        print(f\"  Translation: {translation.normalized_target}\")\n        print(f\"  Part of speech: {translation.pos_tag}\")\n        print(f\"  Confidence: {translation.confidence:.2f}\")\n```\n\n## Dictionary Examples\n\nGet usage examples for translations:\n\n```python\nfrom azure.ai.translation.text.models import DictionaryExampleTextItem\n\nresult = client.lookup_dictionary_examples(\n    body=[DictionaryExampleTextItem(text=\"fly\", translation=\"volar\")],\n    from_parameter=\"en\",\n    to=\"es\"\n)\n\nfor item in result:\n    for example in item.examples:\n        print(f\"Source: {example.source_prefix}{example.source_term}{example.source_suffix}\")\n        print(f\"Target: {example.target_prefix}{example.target_term}{example.target_suffix}\")\n```\n\n## Get Supported Languages\n\n```python\n# Get all supported languages\nlanguages = client.get_supported_languages()\n\n# Translation languages\nprint(\"Translation languages:\")\nfor code, lang in languages.translation.items():\n    print(f\"  {code}: {lang.name} ({lang.native_name})\")\n\n# Transliteration languages\nprint(\"\\nTransliteration languages:\")\nfor code, lang in languages.transliteration.items():\n    print(f\"  {code}: {lang.name}\")\n    for script in lang.scripts:\n        print(f\"    {script.code} -> {[t.code for t in script.to_scripts]}\")\n\n# Dictionary languages\nprint(\"\\nDictionary languages:\")\nfor code, lang in languages.dictionary.items():\n    print(f\"  {code}: {lang.name}\")\n```\n\n## Break Sentence\n\nIdentify sentence boundaries:\n\n```python\nresult = client.find_sentence_boundaries(\n    body=[\"Hello! How are you? I hope you are well.\"],\n    language=\"en\"\n)\n\nfor item in result:\n    print(f\"Sentence lengths: {item.sent_len}\")\n```\n\n## Translation Options\n\n```python\nresult = client.translate(\n    body=[\"Hello, world!\"],\n    to=[\"de\"],\n    text_type=\"html\",           # \"plain\" or \"html\"\n    profanity_action=\"Marked\",  # \"NoAction\", \"Deleted\", \"Marked\"\n    profanity_marker=\"Asterisk\", # \"Asterisk\", \"Tag\"\n    include_alignment=True,      # Include word alignment\n    include_sentence_length=True # Include sentence boundaries\n)\n\nfor item in result:\n    translation = item.translations[0]\n    print(f\"Translated: {translation.text}\")\n    if translation.alignment:\n        print(f\"Alignment: {translation.alignment.proj}\")\n    if translation.sent_len:\n        print(f\"Sentence lengths: {translation.sent_len.src_sent_len}\")\n```\n\n## Async Client\n\n```python\nfrom azure.ai.translation.text.aio import TextTranslationClient\nfrom azure.core.credentials import AzureKeyCredential\n\nasync def translate_text():\n    async with TextTranslationClient(\n        credential=AzureKeyCredential(key),\n        region=region\n    ) as client:\n        result = await client.translate(\n            body=[\"Hello, world!\"],\n            to=[\"es\"]\n        )\n        print(result[0].translations[0].text)\n```\n\n## Client Methods\n\n| Method | Description |\n|--------|-------------|\n| `translate` | Translate text to one or more languages |\n| `transliterate` | Convert text between scripts |\n| `detect` | Detect language of text |\n| `find_sentence_boundaries` | Identify sentence boundaries |\n| `lookup_dictionary_entries` | Dictionary lookup for translations |\n| `lookup_dictionary_examples` | Get usage examples |\n| `get_supported_languages` | List supported languages |\n\n## Best Practices\n\n1. **Batch translations** — Send multiple texts in one request (up to 100)\n2. **Specify source language** when known to improve accuracy\n3. **Use async client** for high-throughput scenarios\n4. **Cache language list** — Supported languages don't change frequently\n5. **Handle profanity** appropriately for your application\n6. **Use html text_type** when translating HTML content\n7. **Include alignment** for applications needing word mapping\n","# Azure AI Text Translation SDK for Python\n\nClient library for Azure AI Translator text translation service for real-time text translation, transliteration, and language operations.\n\n## Installation\n\n```bash\npip install azure-ai-translation-text\n```\n\n## Environment Variables\n\n```bash\nAZURE_TRANSLATOR_KEY=\u003Cyour-api-key>\nAZURE_TRANSLATOR_REGION=\u003Cyour-region>  # e.g., eastus, westus2\n# Or use custom endpoint\nAZURE_TRANSLATOR_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\n```\n\n## Authentication\n\n### API Key with Region\n\n```python\nimport os\nfrom azure.ai.translation.text import TextTranslationClient\nfrom azure.core.credentials import AzureKeyCredential\n\nkey = os.environ[\"AZURE_TRANSLATOR_KEY\"]\nregion = os.environ[\"AZURE_TRANSLATOR_REGION\"]\n\n# Create credential with region\ncredential = AzureKeyCredential(key)\nclient = TextTranslationClient(credential=credential, region=region)\n```\n\n### API Key with Custom Endpoint\n\n```python\nendpoint = os.environ[\"AZURE_TRANSLATOR_ENDPOINT\"]\n\nclient = TextTranslationClient(\n    credential=AzureKeyCredential(key),\n    endpoint=endpoint\n)\n```\n\n### Entra ID (Recommended)\n\n```python\nfrom azure.ai.translation.text import TextTranslationClient\nfrom azure.identity import DefaultAzureCredential\n\nclient = TextTranslationClient(\n    credential=DefaultAzureCredential(),\n    endpoint=os.environ[\"AZURE_TRANSLATOR_ENDPOINT\"]\n)\n```\n\n## Basic Translation\n\n```python\n# Translate to a single language\nresult = client.translate(\n    body=[\"Hello, how are you?\", \"Welcome to Azure!\"],\n    to=[\"es\"]  # Spanish\n)\n\nfor item in result:\n    for translation in item.translations:\n        print(f\"Translated: {translation.text}\")\n        print(f\"Target language: {translation.to}\")\n```\n\n## Translate to Multiple Languages\n\n```python\nresult = client.translate(\n    body=[\"Hello, world!\"],\n    to=[\"es\", \"fr\", \"de\", \"ja\"]  # Spanish, French, German, Japanese\n)\n\nfor item in result:\n    print(f\"Source: {item.detected_language.language if item.detected_language else 'unknown'}\")\n    for translation in item.translations:\n        print(f\"  {translation.to}: {translation.text}\")\n```\n\n## Specify Source Language\n\n```python\nresult = client.translate(\n    body=[\"Bonjour le monde\"],\n    from_parameter=\"fr\",  # Source is French\n    to=[\"en\", \"es\"]\n)\n```\n\n## Language Detection\n\n```python\nresult = client.translate(\n    body=[\"Hola, como estas?\"],\n    to=[\"en\"]\n)\n\nfor item in result:\n    if item.detected_language:\n        print(f\"Detected language: {item.detected_language.language}\")\n        print(f\"Confidence: {item.detected_language.score:.2f}\")\n```\n\n## Transliteration\n\nConvert text from one script to another:\n\n```python\nresult = client.transliterate(\n    body=[\"konnichiwa\"],\n    language=\"ja\",\n    from_script=\"Latn\",  # From Latin script\n    to_script=\"Jpan\"      # To Japanese script\n)\n\nfor item in result:\n    print(f\"Transliterated: {item.text}\")\n    print(f\"Script: {item.script}\")\n```\n\n## Dictionary Lookup\n\nFind alternate translations and definitions:\n\n```python\nresult = client.lookup_dictionary_entries(\n    body=[\"fly\"],\n    from_parameter=\"en\",\n    to=\"es\"\n)\n\nfor item in result:\n    print(f\"Source: {item.normalized_source} ({item.display_source})\")\n    for translation in item.translations:\n        print(f\"  Translation: {translation.normalized_target}\")\n        print(f\"  Part of speech: {translation.pos_tag}\")\n        print(f\"  Confidence: {translation.confidence:.2f}\")\n```\n\n## Dictionary Examples\n\nGet usage examples for translations:\n\n```python\nfrom azure.ai.translation.text.models import DictionaryExampleTextItem\n\nresult = client.lookup_dictionary_examples(\n    body=[DictionaryExampleTextItem(text=\"fly\", translation=\"volar\")],\n    from_parameter=\"en\",\n    to=\"es\"\n)\n\nfor item in result:\n    for example in item.examples:\n        print(f\"Source: {example.source_prefix}{example.source_term}{example.source_suffix}\")\n        print(f\"Target: {example.target_prefix}{example.target_term}{example.target_suffix}\")\n```\n\n## Get Supported Languages\n\n```python\n# Get all supported languages\nlanguages = client.get_supported_languages()\n\n# Translation languages\nprint(\"Translation languages:\")\nfor code, lang in languages.translation.items():\n    print(f\"  {code}: {lang.name} ({lang.native_name})\")\n\n# Transliteration languages\nprint(\"\\nTransliteration languages:\")\nfor code, lang in languages.transliteration.items():\n    print(f\"  {code}: {lang.name}\")\n    for script in lang.scripts:\n        print(f\"    {script.code} -> {[t.code for t in script.to_scripts]}\")\n\n# Dictionary languages\nprint(\"\\nDictionary languages:\")\nfor code, lang in languages.dictionary.items():\n    print(f\"  {code}: {lang.name}\")\n```\n\n## Break Sentence\n\nIdentify sentence boundaries:\n\n```python\nresult = client.find_sentence_boundaries(\n    body=[\"Hello! How are you? I hope you are well.\"],\n    language=\"en\"\n)\n\nfor item in result:\n    print(f\"Sentence lengths: {item.sent_len}\")\n```\n\n## Translation Options\n\n```python\nresult = client.translate(\n    body=[\"Hello, world!\"],\n    to=[\"de\"],\n    text_type=\"html\",           # \"plain\" or \"html\"\n    profanity_action=\"Marked\",  # \"NoAction\", \"Deleted\", \"Marked\"\n    profanity_marker=\"Asterisk\", # \"Asterisk\", \"Tag\"\n    include_alignment=True,      # Include word alignment\n    include_sentence_length=True # Include sentence boundaries\n)\n\nfor item in result:\n    translation = item.translations[0]\n    print(f\"Translated: {translation.text}\")\n    if translation.alignment:\n        print(f\"Alignment: {translation.alignment.proj}\")\n    if translation.sent_len:\n        print(f\"Sentence lengths: {translation.sent_len.src_sent_len}\")\n```\n\n## Async Client\n\n```python\nfrom azure.ai.translation.text.aio import TextTranslationClient\nfrom azure.core.credentials import AzureKeyCredential\n\nasync def translate_text():\n    async with TextTranslationClient(\n        credential=AzureKeyCredential(key),\n        region=region\n    ) as client:\n        result = await client.translate(\n            body=[\"Hello, world!\"],\n            to=[\"es\"]\n        )\n        print(result[0].translations[0].text)\n```\n\n## Client Methods\n\n| Method | Description |\n|--------|-------------|\n| `translate` | Translate text to one or more languages |\n| `transliterate` | Convert text between scripts |\n| `detect` | Detect language of text |\n| `find_sentence_boundaries` | Identify sentence boundaries |\n| `lookup_dictionary_entries` | Dictionary lookup for translations |\n| `lookup_dictionary_examples` | Get usage examples |\n| `get_supported_languages` | List supported languages |\n\n## Best Practices\n\n1. **Batch translations** — Send multiple texts in one request (up to 100)\n2. **Specify source language** when known to improve accuracy\n3. **Use async client** for high-throughput scenarios\n4. **Cache language list** — Supported languages don't change frequently\n5. **Handle profanity** appropriately for your application\n6. **Use html text_type** when translating HTML content\n7. **Include alignment** for applications needing word mapping\n",{"name":5,"license":15,"metadata":44,"description":48},{"author":45,"package":46,"version":47},"Microsoft","azure-ai-translation-text","1.0.0","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. 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Auto-detects dev servers, writes reusable test scripts, and supports screenshots, responsive checks, UX validation, login flows, link checks, and arbitrary browser automation. Use when the user wants to test a website, automate browser interactions, validate web functionality, or perform browser-based testing.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Flatest-release-browser-automation\u002Fplaywright-skill\u002FSKILL.md",[145,146],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":117,"categoryName":118,"taxonomyType":88,"taxonomyTypeDesc":89},[104,148,149,150,95,151,152,126,153,102,154,155,156,157,158,159,160,161,162,163],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":81,"licenseFileUrl":168,"sourceHtmlUrl":169,"categories":170,"keywords":172,"publishedAt":39},"01M71CY25GM939M6RES91QSG3T","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FSKILL.md",[171],{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[173,174,175,105,176,177,178,25,179,180,98,181,31,182,183,184,185,186,187,188],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":81,"licenseFileUrl":193,"sourceHtmlUrl":194,"categories":195,"keywords":205,"publishedAt":39},"01M71CXZB60QJJ1H4S3NN94WMZ","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FSKILL.md",[196,197,200],{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":198,"categoryName":199,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":201,"categoryName":202,"taxonomyType":203,"taxonomyTypeDesc":204},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[98,206,207,178,208,209,210,33,211,212,31,126,175,213,183,214,184,215,216,103],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":218,"name":219,"nameZh":6,"description":220,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":221,"categories":222,"keywords":223,"publishedAt":39},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fzarr-python\u002FSKILL.md",[],[224,225,226,227,228,229,230,231,232,25,233,234,235,236,237,238,239,240],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]