zzsza
{
"type": "http://schema.org/Person",
"name": "",
"description": "",
"followers": "",
"url": "",
"location": "",
"languages": [],
"users": [
{
"name": "@zzsza",
"avatar": "https://avatars.githubusercontent.com/u/18207755?s=64&v=4"
},
{
"name": "@zzsza",
"avatar": "https://avatars.githubusercontent.com/u/18207755?s=64&v=4"
},
{
"name": "View zzsza's full-sized avatar",
"avatar": "https://avatars.githubusercontent.com/u/18207755?v=4"
}
],
"topics": []
}
Seoul, republic of korea
{
"avatar": "https://avatars.githubusercontent.com/u/18207755?v=4",
"name": "Sung Yun Byeon",
"username": "zzsza",
"description": "Machine Learning Engineer, Data Engineer, Engineering Manager, Data Coach",
"location": "Seoul, republic of korea",
"vcard": "<svg class=\"octicon octicon-location\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m12.596 11.596-3.535 3.536a1.5 1.5 0 0 1-2.122 0l-3.535-3.536a6.5 6.5 0 1 1 9.192-9.193 6.5 6.5 0 0 1 0 9.193Zm-1.06-8.132v-.001a5 5 0 1 0-7.072 7.072L8 14.07l3.536-3.534a5 5 0 0 0 0-7.072ZM8 9a2 2 0 1 1-.001-3.999A2 2 0 0 1 8 9Z\"></path></svg>\n <span class=\"p-label\">Seoul, republic of korea</span>\n",
"vcardDetails": [
{
"name": "http://zzsza.github.io",
"url": "http://zzsza.github.io"
},
{
"name": "@kyleschool",
"url": "https://twitter.com/kyleschool"
},
{
"name": "data.scientist",
"url": "https://www.instagram.com/data.scientist/"
},
{
"name": "c/kyleschool",
"url": "https://www.youtube.com/c/kyleschool"
}
],
"orgs": [
{
"name": "@Team-Neighborhood",
"avatar": "https://avatars.githubusercontent.com/u/38028694?s=64&v=4"
},
{
"name": "@wakanda-ai",
"avatar": "https://avatars.githubusercontent.com/u/39376690?s=64&v=4"
},
{
"name": "@geultto",
"avatar": "https://avatars.githubusercontent.com/u/52557539?s=64&v=4"
},
{
"name": "@MLOpsKR",
"avatar": "https://avatars.githubusercontent.com/u/60054527?s=64&v=4"
}
],
"sponsors": [],
"pinned": [
{
"name": "Awesome-Mobility-Machine-Learning-Contents",
"description": "Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)",
"language": ""
},
{
"name": "Team-Neighborhood/I-want-to-study-Data-Science",
"description": "데이터 사이언스를 공부하고 싶은 분들을 위한 글",
"language": ""
},
{
"name": "Datascience-Interview-Questions",
"description": "Datascience-Interview-Questions for Korean",
"language": ""
},
{
"name": "mercari/ml-system-design-pattern",
"description": "System design patterns for machine learning",
"language": ""
}
],
"pinnedHtml": [
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":18207755,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/zzsza"}}\" data-hydro-click-hmac=\"8f9084a0c52aa92581e4525d7701e2cf17b3717f93734545ebd1d536255adb8a\" id=\"184097665\" href=\"/zzsza/Awesome-Mobility-Machine-Learning-Contents\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\">\n<span class=\"repo\">Awesome-Mobility-Machine-Learning-Contents</span>\n</a><tool-tip id=\"tooltip-41cc8b80-b2b6-4e36-84e6-1199b5d3db38\" for=\"184097665\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Awesome-Mobility-Machine-Learning-Contents</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <a href=\"/zzsza/Awesome-Mobility-Machine-Learning-Contents/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 267\n </a>\n <a href=\"/zzsza/Awesome-Mobility-Machine-Learning-Contents/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 74\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":18207755,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/zzsza"}}\" data-hydro-click-hmac=\"8f9084a0c52aa92581e4525d7701e2cf17b3717f93734545ebd1d536255adb8a\" id=\"140704126\" href=\"/Team-Neighborhood/I-want-to-study-Data-Science\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\">\n <span class=\"owner text-normal\">Team-Neighborhood/</span><span class=\"repo\">I-want-to-study-Data-Science</span>\n</a><tool-tip id=\"tooltip-26325c46-6704-484b-bb39-5fff72f52a89\" for=\"140704126\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Team-Neighborhood/I-want-to-study-Data-Science</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n 데이터 사이언스를 공부하고 싶은 분들을 위한 글 \n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <a href=\"/Team-Neighborhood/I-want-to-study-Data-Science/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 1.7k\n </a>\n <a href=\"/Team-Neighborhood/I-want-to-study-Data-Science/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 484\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":18207755,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/zzsza"}}\" data-hydro-click-hmac=\"8f9084a0c52aa92581e4525d7701e2cf17b3717f93734545ebd1d536255adb8a\" id=\"121724447\" href=\"/zzsza/Datascience-Interview-Questions\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\">\n<span class=\"repo\">Datascience-Interview-Questions</span>\n</a><tool-tip id=\"tooltip-cb211041-b442-4eb1-bcf0-4d1dde77e722\" for=\"121724447\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">Datascience-Interview-Questions</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n Datascience-Interview-Questions for Korean\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <a href=\"/zzsza/Datascience-Interview-Questions/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 843\n </a>\n <a href=\"/zzsza/Datascience-Interview-Questions/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 216\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{"event_type":"user_profile.click","payload":{"profile_user_id":18207755,"target":"PINNED_REPO","user_id":null,"originating_url":"https://github.com/zzsza"}}\" data-hydro-click-hmac=\"8f9084a0c52aa92581e4525d7701e2cf17b3717f93734545ebd1d536255adb8a\" id=\"257829003\" href=\"/mercari/ml-system-design-pattern\" data-view-component=\"true\" class=\"Link mr-1 text-bold wb-break-word\">\n <span class=\"owner text-normal\">mercari/</span><span class=\"repo\">ml-system-design-pattern</span>\n</a><tool-tip id=\"tooltip-79dbe411-9511-44c9-a2bf-192c0bb4cd3a\" for=\"257829003\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">mercari/ml-system-design-pattern</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n System design patterns for machine learning\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <a href=\"/mercari/ml-system-design-pattern/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 2.3k\n </a>\n <a href=\"/mercari/ml-system-design-pattern/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 238\n </a>\n </p>\n "
]
}
{
"accept-ranges": "bytes",
"cache-control": "max-age=0, private, must-revalidate",
"content-encoding": "gzip",
"content-security-policy": "default-src 'none'; base-uri 'self'; child-src github.com/assets-cdn/worker/ github.com/webpack/ github.com/assets/ gist.github.com/assets-cdn/worker/; connect-src 'self' uploads.github.com www.githubstatus.com collector.github.com raw.githubusercontent.com api.github.com github-cloud.s3.amazonaws.com github-production-repository-file-5c1aeb.s3.amazonaws.com github-production-upload-manifest-file-7fdce7.s3.amazonaws.com github-production-user-asset-6210df.s3.amazonaws.com *.rel.tunnels.api.visualstudio.com wss://*.rel.tunnels.api.visualstudio.com objects-origin.githubusercontent.com copilot-proxy.githubusercontent.com api.githubcopilot.com api.individual.githubcopilot.com api.business.githubcopilot.com api.enterprise.githubcopilot.com proxy.individual.githubcopilot.com proxy.business.githubcopilot.com proxy.enterprise.githubcopilot.com *.actions.githubusercontent.com wss://*.actions.githubusercontent.com productionresultssa0.blob.core.windows.net/ productionresultssa1.blob.core.windows.net/ productionresultssa2.blob.core.windows.net/ productionresultssa3.blob.core.windows.net/ productionresultssa4.blob.core.windows.net/ productionresultssa5.blob.core.windows.net/ productionresultssa6.blob.core.windows.net/ productionresultssa7.blob.core.windows.net/ productionresultssa8.blob.core.windows.net/ productionresultssa9.blob.core.windows.net/ productionresultssa10.blob.core.windows.net/ productionresultssa11.blob.core.windows.net/ productionresultssa12.blob.core.windows.net/ productionresultssa13.blob.core.windows.net/ productionresultssa14.blob.core.windows.net/ productionresultssa15.blob.core.windows.net/ productionresultssa16.blob.core.windows.net/ productionresultssa17.blob.core.windows.net/ productionresultssa18.blob.core.windows.net/ productionresultssa19.blob.core.windows.net/ github-production-repository-image-32fea6.s3.amazonaws.com github-production-release-asset-2e65be.s3.amazonaws.com insights.github.com wss://alive.github.com; font-src github.githubassets.com; form-action 'self' github.com gist.github.com copilot-workspace.githubnext.com objects-origin.githubusercontent.com; frame-ancestors 'none'; frame-src viewscreen.githubusercontent.com notebooks.githubusercontent.com; img-src 'self' data: blob: github.githubassets.com media.githubusercontent.com camo.githubusercontent.com identicons.github.com avatars.githubusercontent.com private-avatars.githubusercontent.com github-cloud.s3.amazonaws.com objects.githubusercontent.com secured-user-images.githubusercontent.com/ user-images.githubusercontent.com/ private-user-images.githubusercontent.com opengraph.githubassets.com github-production-user-asset-6210df.s3.amazonaws.com customer-stories-feed.github.com spotlights-feed.github.com objects-origin.githubusercontent.com *.githubusercontent.com; manifest-src 'self'; media-src github.com user-images.githubusercontent.com/ secured-user-images.githubusercontent.com/ private-user-images.githubusercontent.com github-production-user-asset-6210df.s3.amazonaws.com gist.github.com; script-src github.githubassets.com; style-src 'unsafe-inline' github.githubassets.com; upgrade-insecure-requests; worker-src github.com/assets-cdn/worker/ github.com/webpack/ github.com/assets/ gist.github.com/assets-cdn/worker/",
"content-type": "text/html; charset=utf-8",
"date": "Mon, 23 Sep 2024 09:25:28 GMT",
"etag": "ddeaf52564130f97d3df31c7ca2dd64b",
"referrer-policy": "origin-when-cross-origin, strict-origin-when-cross-origin",
"server": "GitHub.com",
"set-cookie": "logged_in=no; Path=/; Domain=github.com; Expires=Tue, 23 Sep 2025 09:25:27 GMT; HttpOnly; Secure; SameSite=Lax",
"strict-transport-security": "max-age=31536000; includeSubdomains; preload",
"transfer-encoding": "chunked",
"vary": "X-Requested-With, X-PJAX-Container, Turbo-Frame, Turbo-Visit, Accept-Encoding, Accept, X-Requested-With",
"x-content-type-options": "nosniff",
"x-frame-options": "deny",
"x-github-request-id": "8CA8:24A690:38C7318:4DF4447:66F133FB",
"x-xss-protection": "0"
}