{"id":477479,"date":"2023-08-09T09:15:39","date_gmt":"2023-08-09T09:15:39","guid":{"rendered":""},"modified":"2023-09-05T11:14:48","modified_gmt":"2023-09-05T11:14:48","slug":"hosted-jupyter","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/hosted-jupyter\/","title":{"rendered":"Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef"},"content":{"rendered":"

Hosted Jupyter l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 s\u00e1ng t\u1ea1o v\u00e0 m\u1ea1nh m\u1ebd \u0111\u00e3 c\u00e1ch m\u1ea1ng h\u00f3a th\u1ebf gi\u1edbi khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 nghi\u00ean c\u1ee9u h\u1ee3p t\u00e1c. Ban \u0111\u1ea7u \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n nh\u01b0 m\u1ed9t d\u1ef1 \u00e1n ngu\u1ed3n m\u1edf, Jupyter \u0111\u00e3 tr\u1edf th\u00e0nh m\u1ed9t n\u1ec1n t\u1ea3ng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i cho \u0111i\u1ec7n to\u00e1n t\u01b0\u01a1ng t\u00e1c, ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 tr\u1ef1c quan h\u00f3a. L\u01b0u tr\u1eef Jupyter tr\u00ean m\u00e1y ch\u1ee7 cho ph\u00e9p nhi\u1ec1u ng\u01b0\u1eddi d\u00f9ng truy c\u1eadp v\u00e0 c\u1ed9ng t\u00e1c tr\u00ean s\u1ed5 ghi ch\u00e9p c\u00f9ng l\u00fac, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh gi\u1ea3i ph\u00e1p l\u00fd t\u01b0\u1edfng cho c\u00e1c doanh nghi\u1ec7p, nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 t\u1ed5 ch\u1ee9c h\u1ecdc thu\u1eadt \u0111ang t\u00ecm c\u00e1ch h\u1ed7 tr\u1ee3 l\u00e0m vi\u1ec7c nh\u00f3m v\u00e0 h\u1ee3p l\u00fd h\u00f3a quy tr\u00ecnh l\u00e0m vi\u1ec7c d\u1ef1a tr\u00ean d\u1eef li\u1ec7u.<\/p>\n

L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a Hosted Jupyter v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean nh\u1eafc \u0111\u1ebfn n\u00f3<\/h2>\n

Ngu\u1ed3n g\u1ed1c c\u1ee7a Hosted Jupyter c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb n\u0103m 2014 khi d\u1ef1 \u00e1n l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u b\u1edfi m\u1ed9t nh\u00f3m c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n do Fernando P\u00e9rez v\u00e0 Brian Granger \u0111\u1ee9ng \u0111\u1ea7u. C\u00e1i t\u00ean \u201cJupyter\u201d b\u1eaft ngu\u1ed3n t\u1eeb s\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a ba ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh c\u1ed1t l\u00f5i: Julia, Python v\u00e0 R, bi\u1ec3u th\u1ecb s\u1ef1 h\u1ed7 tr\u1ee3 ban \u0111\u1ea7u cho c\u00e1c ng\u00f4n ng\u1eef n\u00e0y. Ngu\u1ed3n g\u1ed1c c\u1ee7a d\u1ef1 \u00e1n n\u1eb1m \u1edf IPython, m\u1ed9t m\u00f4i tr\u01b0\u1eddng \u0111i\u1ec7n to\u00e1n t\u01b0\u01a1ng t\u00e1c d\u00e0nh cho Python, m\u00f4i tr\u01b0\u1eddng n\u00e0y cu\u1ed1i c\u00f9ng \u0111\u00e3 ph\u00e1t tri\u1ec3n th\u00e0nh h\u1ec7 sinh th\u00e1i Jupyter r\u1ed9ng l\u1edbn h\u01a1n.<\/p>\n

Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Hosted Jupyter<\/h2>\n

Hosted Jupyter v\u1ec1 c\u01a1 b\u1ea3n l\u00e0 m\u1ed9t giao di\u1ec7n d\u1ef1a tr\u00ean web cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u1ea1o v\u00e0 chia s\u1ebb t\u00e0i li\u1ec7u, \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 \u201cs\u1ed5 ghi ch\u00e9p\u201d, ch\u1ee9a m\u00e3 tr\u1ef1c ti\u1ebfp, h\u00ecnh \u1ea3nh tr\u1ef1c quan v\u00e0 v\u0103n b\u1ea3n gi\u1ea3i th\u00edch. N\u1ec1n t\u1ea3ng n\u00e0y h\u1ed7 tr\u1ee3 nhi\u1ec1u ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh, bao g\u1ed3m Python, R, Julia v\u00e0 c\u00e1c ng\u00f4n ng\u1eef kh\u00e1c, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn linh ho\u1ea1t \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 t\u00ednh to\u00e1n khoa h\u1ecdc tr\u00ean nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau.<\/p>\n

C\u00e1c th\u00e0nh ph\u1ea7n ch\u00ednh c\u1ee7a Hosted Jupyter bao g\u1ed3m:<\/p>\n

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  1. \n

    h\u1ea1t nh\u00e2n<\/strong>: C\u00f4ng c\u1ee5 th\u1ef1c thi m\u00e3 trong s\u1ed5 ghi ch\u00e9p, h\u1ed7 tr\u1ee3 c\u00e1c ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh kh\u00e1c nhau. M\u1ed7i s\u1ed5 ghi ch\u00e9p ch\u1ea1y tr\u00ean m\u1ed9t nh\u00e2n ri\u00eang bi\u1ec7t, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng chuy\u1ec3n \u0111\u1ed5i gi\u1eefa c\u00e1c ng\u00f4n ng\u1eef m\u1ed9t c\u00e1ch li\u1ec1n m\u1ea1ch.<\/p>\n<\/li>\n

  2. \n

    T\u00e0i li\u1ec7u s\u1ed5 tay<\/strong>: T\u1ec7p d\u1ef1a tr\u00ean JSON l\u01b0u tr\u1eef n\u1ed9i dung c\u1ee7a s\u1ed5 ghi ch\u00e9p, ch\u1eb3ng h\u1ea1n nh\u01b0 m\u00e3, v\u0103n b\u1ea3n v\u00e0 \u0111\u1ea7u ra. S\u1ed5 ghi ch\u00e9p c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c chia s\u1ebb, ki\u1ec3m so\u00e1t phi\u00ean b\u1ea3n v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng l\u00e0m h\u01b0\u1edbng d\u1eabn t\u01b0\u01a1ng t\u00e1c.<\/p>\n<\/li>\n

  3. \n

    Giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng<\/strong>: Giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng ch\u1ea1y trong tr\u00ecnh duy\u1ec7t web, cho ph\u00e9p t\u01b0\u01a1ng t\u00e1c v\u1edbi s\u1ed5 ghi ch\u00e9p v\u00e0 tr\u1ef1c quan h\u00f3a \u0111\u1ea7u ra m\u00e3.<\/p>\n<\/li>\n

  4. \n

    Ph\u1ea7n m\u1ec1m trung gian<\/strong>: X\u1eed l\u00fd giao ti\u1ebfp gi\u1eefa giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng v\u00e0 kernel, t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c th\u1ef1c thi m\u00e3 v\u00e0 ghi l\u1ea1i k\u1ebft qu\u1ea3.<\/p>\n<\/li>\n<\/ol>\n

    C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Hosted Jupyter: Hosted Jupyter ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o<\/h2>\n

    Khi ng\u01b0\u1eddi d\u00f9ng truy c\u1eadp phi\u00ean b\u1ea3n Hosted Jupyter, tr\u00ecnh duy\u1ec7t web \u0111\u00f3ng vai tr\u00f2 l\u00e0 giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng, cung c\u1ea5p giao di\u1ec7n t\u01b0\u01a1ng t\u00e1c \u0111\u1ec3 t\u1ea1o v\u00e0 ch\u1ec9nh s\u1eeda s\u1ed5 ghi ch\u00e9p. C\u00e1c t\u00e0i li\u1ec7u s\u1ed5 ghi ch\u00e9p \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef tr\u00ean m\u00e1y ch\u1ee7 v\u00e0 h\u1ea1t nh\u00e2n x\u1eed l\u00fd m\u00e3 \u0111\u1ea7u v\u00e0o c\u1ee7a ng\u01b0\u1eddi d\u00f9ng, t\u1ea1o ra c\u00e1c k\u1ebft qu\u1ea3 \u0111\u1ea7u ra c\u00f3 th\u1ec3 bao g\u1ed3m v\u0103n b\u1ea3n, h\u00ecnh \u1ea3nh v\u00e0 h\u00ecnh \u1ea3nh tr\u1ef1c quan t\u01b0\u01a1ng t\u00e1c.<\/p>\n

    Lu\u1ed3ng li\u00ean l\u1ea1c trong Hosted Jupyter c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u00f3m t\u1eaft nh\u01b0 sau:<\/p>\n

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    1. Giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng g\u1eedi m\u00e3 \u0111\u1ea7u v\u00e0o \u0111\u1ebfn kernel \u0111\u1ec3 th\u1ef1c thi.<\/li>\n
    2. H\u1ea1t nh\u00e2n x\u1eed l\u00fd m\u00e3 v\u00e0 t\u1ea1o \u0111\u1ea7u ra.<\/li>\n
    3. \u0110\u1ea7u ra \u0111\u01b0\u1ee3c g\u1eedi tr\u1edf l\u1ea1i giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng, n\u01a1i n\u00f3 \u0111\u01b0\u1ee3c hi\u1ec3n th\u1ecb cho ng\u01b0\u1eddi d\u00f9ng.<\/li>\n<\/ol>\n

      T\u00ednh ch\u1ea5t t\u01b0\u01a1ng t\u00e1c v\u00e0 n\u0103ng \u0111\u1ed9ng n\u00e0y c\u1ee7a Hosted Jupyter th\u00fac \u0111\u1ea9y s\u1ef1 h\u1ee3p t\u00e1c v\u00e0 n\u00e2ng cao kh\u1ea3 n\u0103ng t\u00e1i t\u1ea1o c\u1ee7a ph\u00e2n t\u00edch v\u00e0 nghi\u00ean c\u1ee9u d\u1eef li\u1ec7u.<\/p>\n

      Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Hosted Jupyter<\/h2>\n

      Hosted Jupyter cung c\u1ea5p nhi\u1ec1u t\u00ednh n\u0103ng khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5 kh\u00f4ng th\u1ec3 thi\u1ebfu \u0111\u1ed1i v\u1edbi c\u00e1c nh\u00e0 khoa h\u1ecdc, nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 nh\u00e0 gi\u00e1o d\u1ee5c d\u1eef li\u1ec7u:<\/p>\n

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      1. \n

        M\u00e1y t\u00ednh t\u01b0\u01a1ng t\u00e1c<\/strong>: Hosted Jupyter cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng th\u1ef1c thi m\u00e3 trong th\u1eddi gian th\u1ef1c, gi\u00fap kh\u00e1m ph\u00e1 d\u1eef li\u1ec7u, th\u1eed nghi\u1ec7m thu\u1eadt to\u00e1n v\u00e0 tr\u1ef1c quan h\u00f3a k\u1ebft qu\u1ea3 ngay l\u1eadp t\u1ee9c d\u1ec5 d\u00e0ng h\u01a1n.<\/p>\n<\/li>\n

      2. \n

        H\u00ecnh dung<\/strong>: V\u1edbi s\u1ef1 h\u1ed7 tr\u1ee3 cho \u0111\u1ea7u ra \u0111a ph\u01b0\u01a1ng ti\u1ec7n, Hosted Jupyter cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u1ea1o c\u00e1c h\u00ecnh \u1ea3nh tr\u1ef1c quan h\u1ea5p d\u1eabn, n\u00e2ng cao kh\u1ea3 n\u0103ng hi\u1ec3u v\u00e0 giao ti\u1ebfp d\u1eef li\u1ec7u.<\/p>\n<\/li>\n

      3. \n

        Chia s\u1ebb v\u00e0 c\u1ed9ng t\u00e1c m\u00e3<\/strong>: B\u1eb1ng c\u00e1ch l\u01b0u tr\u1eef Jupyter tr\u00ean m\u1ed9t m\u00e1y ch\u1ee7, nhi\u1ec1u ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 c\u1ed9ng t\u00e1c \u0111\u1ed3ng th\u1eddi tr\u00ean c\u00f9ng m\u1ed9t s\u1ed5 ghi ch\u00e9p, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh n\u1ec1n t\u1ea3ng l\u00fd t\u01b0\u1edfng cho c\u00e1c d\u1ef1 \u00e1n nh\u00f3m v\u00e0 h\u1ed9i th\u1ea3o t\u01b0\u01a1ng t\u00e1c.<\/p>\n<\/li>\n

      4. \n

        T\u00e0i li\u1ec7u v\u00e0 tr\u00ecnh b\u00e0y<\/strong>: S\u1ed5 ghi ch\u00e9p Jupyter \u0111\u00f3ng vai tr\u00f2 l\u00e0 t\u00e0i li\u1ec7u kh\u00e9p k\u00edn c\u00f3 th\u1ec3 bao g\u1ed3m c\u1ea3 m\u00e3 v\u00e0 v\u0103n b\u1ea3n t\u01b0\u1eddng thu\u1eadt, t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c t\u00e1i t\u1ea1o v\u00e0 chia s\u1ebb c\u00e1c k\u1ebft qu\u1ea3 nghi\u00ean c\u1ee9u.<\/p>\n<\/li>\n

      5. \n

        Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng<\/strong>: H\u1ec7 sinh th\u00e1i Jupyter cho ph\u00e9p t\u00edch h\u1ee3p nhi\u1ec1u ti\u1ec7n \u00edch m\u1edf r\u1ed9ng v\u00e0 ti\u1ec7n \u00edch kh\u00e1c nhau, n\u00e2ng cao ch\u1ee9c n\u0103ng v\u00e0 t\u00f9y ch\u1ec9nh theo nhu c\u1ea7u c\u1ee5 th\u1ec3.<\/p>\n<\/li>\n

      6. \n

        H\u1ed7 tr\u1ee3 nhi\u1ec1u ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh<\/strong>: S\u1ef1 h\u1ed7 tr\u1ee3 c\u1ee7a Hosted Jupyter cho nhi\u1ec1u ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh kh\u00e1c nhau \u0111\u1ea3m b\u1ea3o r\u1eb1ng ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 v\u00e0 th\u01b0 vi\u1ec7n m\u00e0 h\u1ecd c\u1ea3m th\u1ea5y tho\u1ea3i m\u00e1i nh\u1ea5t.<\/p>\n<\/li>\n<\/ol>\n

        C\u00e1c lo\u1ea1i Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef<\/h2>\n

        Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef c\u00f3 nhi\u1ec1u lo\u1ea1i kh\u00e1c nhau, m\u1ed7i lo\u1ea1i ph\u1ee5c v\u1ee5 cho c\u00e1c tr\u01b0\u1eddng h\u1ee3p v\u00e0 y\u00eau c\u1ea7u s\u1eed d\u1ee5ng c\u1ee5 th\u1ec3. M\u1ed9t s\u1ed1 lo\u1ea1i Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef ph\u1ed5 bi\u1ebfn l\u00e0:<\/p>\n\n\n\n\n\n\n\n
        Ki\u1ec3u<\/th>\nS\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n
        \u0110\u01b0\u1ee3c l\u01b0u tr\u1eef c\u00f4ng khai<\/td>\nN\u1ec1n t\u1ea3ng d\u1ef1a tr\u00ean web cung c\u1ea5p c\u00e1c phi\u00ean b\u1ea3n Hosted Jupyter \u0111\u1ec3 s\u1eed d\u1ee5ng c\u00f4ng c\u1ed9ng mi\u1ec5n ph\u00ed.<\/td>\n<\/tr>\n
        \u0110\u01b0\u1ee3c l\u01b0u tr\u1eef ri\u00eang t\u01b0<\/td>\nC\u00e1c gi\u1ea3i ph\u00e1p Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef t\u00f9y ch\u1ec9nh \u0111\u01b0\u1ee3c tri\u1ec3n khai tr\u00ean c\u00e1c m\u00e1y ch\u1ee7 ri\u00eang, th\u01b0\u1eddng l\u00e0 trong c\u00e1c t\u1ed5 ch\u1ee9c.<\/td>\n<\/tr>\n
        \u0110\u01b0\u1ee3c l\u01b0u tr\u1eef d\u1ef1a tr\u00ean \u0111\u00e1m m\u00e2y<\/td>\nS\u1ed5 ghi ch\u00e9p Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef tr\u00ean n\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng truy c\u1eadp ch\u00fang t\u1eeb m\u1ecdi n\u01a1i.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        C\u00e1ch s\u1eed d\u1ee5ng Hosted Jupyter, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n

        Hosted Jupyter ph\u1ee5c v\u1ee5 v\u00f4 s\u1ed1 m\u1ee5c \u0111\u00edch tr\u00ean nhi\u1ec1u mi\u1ec1n kh\u00e1c nhau. M\u1ed9t s\u1ed1 tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng ph\u1ed5 bi\u1ebfn bao g\u1ed3m:<\/p>\n

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        1. \n

          Ph\u00e2n t\u00edch d\u1eef li\u1ec7u<\/strong>: C\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u s\u1eed d\u1ee5ng Hosted Jupyter \u0111\u1ec3 ph\u00e2n t\u00edch v\u00e0 tr\u1ef1c quan h\u00f3a c\u00e1c t\u1eadp d\u1eef li\u1ec7u, th\u1ef1c hi\u1ec7n ph\u00e2n t\u00edch th\u1ed1ng k\u00ea v\u00e0 x\u00e2y d\u1ef1ng c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y.<\/p>\n<\/li>\n

        2. \n

          Gi\u00e1o d\u1ee5c v\u00e0 Nghi\u00ean c\u1ee9u<\/strong>: C\u00e1c h\u1ecdc gi\u1ea3 v\u00e0 nh\u00e0 nghi\u00ean c\u1ee9u s\u1eed d\u1ee5ng Hosted Jupyter \u0111\u1ec3 gi\u1ea3ng d\u1ea1y t\u01b0\u01a1ng t\u00e1c, chia s\u1ebb nghi\u00ean c\u1ee9u c\u00f3 th\u1ec3 t\u00e1i t\u1ea1o v\u00e0 ti\u1ebfn h\u00e0nh c\u00e1c th\u00ed nghi\u1ec7m.<\/p>\n<\/li>\n

        3. \n

          Tr\u1ef1c quan h\u00f3a d\u1eef li\u1ec7u<\/strong>: N\u1ec1n t\u1ea3ng n\u00e0y ph\u1ed5 bi\u1ebfn \u0111\u1ec3 t\u1ea1o tr\u1ef1c quan h\u00f3a d\u1eef li\u1ec7u c\u00f3 t\u00ednh t\u01b0\u01a1ng t\u00e1c v\u00e0 h\u1ea5p d\u1eabn tr\u1ef1c quan nh\u1eb1m h\u1ed7 tr\u1ee3 hi\u1ec3u bi\u1ebft s\u00e2u s\u1eafc.<\/p>\n<\/li>\n

        4. \n

          T\u1ea1o nguy\u00ean m\u1eabu v\u00e0 th\u1eed nghi\u1ec7m<\/strong>: C\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n s\u1eed d\u1ee5ng Hosted Jupyter \u0111\u1ec3 t\u1ea1o m\u1eabu m\u00e3 v\u00e0 th\u1eed nghi\u1ec7m c\u00e1c thu\u1eadt to\u00e1n tr\u01b0\u1edbc khi t\u00edch h\u1ee3p ch\u00fang v\u00e0o c\u00e1c \u1ee9ng d\u1ee5ng l\u1edbn h\u01a1n.<\/p>\n<\/li>\n<\/ol>\n

          Nh\u1eefng th\u00e1ch th\u1ee9c m\u00e0 ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 g\u1eb7p ph\u1ea3i khi s\u1eed d\u1ee5ng Hosted Jupyter bao g\u1ed3m:<\/p>\n

            \n
          1. \n

            Ngu\u1ed3n l\u1ef1c chuy\u00ean s\u00e2u<\/strong>: Ch\u1ea1y c\u00e1c ph\u00e9p t\u00ednh ph\u1ee9c t\u1ea1p ho\u1eb7c b\u1ed9 d\u1eef li\u1ec7u l\u1edbn c\u00f3 th\u1ec3 y\u00eau c\u1ea7u t\u00e0i nguy\u00ean m\u00e1y ch\u1ee7 \u0111\u00e1ng k\u1ec3.<\/p>\n<\/li>\n

          2. \n

            M\u1ed1i quan t\u00e2m v\u1ec1 b\u1ea3o m\u1eadt<\/strong>: Trong m\u00f4i tr\u01b0\u1eddng l\u01b0u tr\u1eef chia s\u1ebb, ng\u01b0\u1eddi d\u00f9ng ph\u1ea3i th\u1eadn tr\u1ecdng trong vi\u1ec7c b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u v\u00e0 m\u00e3 nh\u1ea1y c\u1ea3m.<\/p>\n<\/li>\n

          3. \n

            Xung \u0111\u1ed9t phi\u00ean b\u1ea3n<\/strong>: Vi\u1ec7c qu\u1ea3n l\u00fd c\u00e1c phi\u00ean b\u1ea3n g\u00f3i kh\u00e1c nhau c\u00f3 th\u1ec3 g\u1eb7p kh\u00f3 kh\u0103n khi c\u1ed9ng t\u00e1c v\u1edbi ng\u01b0\u1eddi kh\u00e1c.<\/p>\n<\/li>\n<\/ol>\n

            Gi\u1ea3i ph\u00e1p cho nh\u1eefng v\u1ea5n \u0111\u1ec1 n\u00e0y bao g\u1ed3m:<\/p>\n

              \n
            1. \n

              T\u1ed1i \u01b0u h\u00f3a t\u00e0i nguy\u00ean<\/strong>: \u0110\u1ea3m b\u1ea3o th\u1ef1c h\u00e0nh m\u00e3 h\u00f3a hi\u1ec7u qu\u1ea3 v\u00e0 s\u1eed d\u1ee5ng c\u00e1c gi\u1ea3i ph\u00e1p d\u1ef1a tr\u00ean \u0111\u00e1m m\u00e2y \u0111\u1ec3 m\u1edf r\u1ed9ng quy m\u00f4 t\u00e0i nguy\u00ean khi c\u1ea7n thi\u1ebft.<\/p>\n<\/li>\n

            2. \n

              C\u00e1c bi\u1ec7n ph\u00e1p an ninh<\/strong>: Tri\u1ec3n khai c\u00e1c bi\u1ec7n ph\u00e1p ki\u1ec3m so\u00e1t quy\u1ec1n truy c\u1eadp v\u00e0 x\u00e1c th\u1ef1c m\u1ea1nh m\u1ebd, m\u00e3 h\u00f3a d\u1eef li\u1ec7u nh\u1ea1y c\u1ea3m v\u00e0 s\u1eed d\u1ee5ng c\u00e1c phi\u00ean b\u1ea3n \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef ri\u00eang t\u01b0.<\/p>\n<\/li>\n

            3. \n

              Container h\u00f3a<\/strong>: S\u1eed d\u1ee5ng c\u00e1c c\u00f4ng ngh\u1ec7 ch\u1ee9a nh\u01b0 Docker \u0111\u1ec3 qu\u1ea3n l\u00fd c\u00e1c phi\u00ean b\u1ea3n g\u00f3i v\u00e0 ph\u1ea7n ph\u1ee5 thu\u1ed9c m\u1ed9t c\u00e1ch nh\u1ea5t qu\u00e1n.<\/p>\n<\/li>\n<\/ol>\n

              C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n\n\n\n\n\n\n\n\n
              Thu\u1eadt ng\u1eef<\/th>\nS\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n
              Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef<\/td>\nGiao di\u1ec7n d\u1ef1a tr\u00ean web \u0111\u1ec3 t\u1ea1o s\u1ed5 ghi ch\u00e9p t\u01b0\u01a1ng t\u00e1c h\u1ed7 tr\u1ee3 nhi\u1ec1u ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh.<\/td>\n<\/tr>\n
              M\u00e1y t\u00ednh x\u00e1ch tay Jupyter<\/td>\nM\u1ed9t t\u1ec7p ch\u1ee9a m\u00e3, v\u0103n b\u1ea3n v\u00e0 \u0111\u1ea7u ra, \u0111\u01b0\u1ee3c t\u1ea1o v\u00e0 ch\u1ec9nh s\u1eeda b\u1eb1ng giao di\u1ec7n Jupyter.<\/td>\n<\/tr>\n
              JupyterLab<\/td>\nGiao di\u1ec7n m\u1edf r\u1ed9ng cung c\u1ea5p m\u00f4i tr\u01b0\u1eddng t\u00edch h\u1ee3p h\u01a1n v\u1edbi nhi\u1ec1u khung.<\/td>\n<\/tr>\n
              Google Colab<\/td>\nM\u00f4i tr\u01b0\u1eddng Jupyter d\u1ef1a tr\u00ean \u0111\u00e1m m\u00e2y do Google cung c\u1ea5p, cung c\u1ea5p quy\u1ec1n truy c\u1eadp mi\u1ec5n ph\u00ed v\u00e0o GPU v\u00e0 TPU.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn Hosted Jupyter<\/h2>\n

              Khi khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 nghi\u00ean c\u1ee9u h\u1ee3p t\u00e1c ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, Hosted Jupyter c\u00f3 th\u1ec3 s\u1ebd \u0111\u1ea1t \u0111\u01b0\u1ee3c nh\u1eefng ti\u1ebfn b\u1ed9 \u0111\u00e1ng k\u1ec3. M\u1ed9t s\u1ed1 ph\u00e1t tri\u1ec3n ti\u1ec1m n\u0103ng trong t\u01b0\u01a1ng lai bao g\u1ed3m:<\/p>\n

                \n
              1. \n

                C\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t<\/strong>: Nh\u1eefng ti\u1ebfn b\u1ed9 trong c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng \u0111\u00e1m m\u00e2y v\u00e0 c\u00f4ng ngh\u1ec7 \u0111i\u1ec7n to\u00e1n s\u1ebd cho ph\u00e9p c\u00e1c phi\u00ean b\u1ea3n Hosted Jupyter nhanh h\u01a1n v\u00e0 ti\u1ebft ki\u1ec7m t\u00e0i nguy\u00ean h\u01a1n.<\/p>\n<\/li>\n

              2. \n

                M\u00e1y t\u00ednh x\u00e1ch tay h\u1ed7 tr\u1ee3 AI<\/strong>: T\u00edch h\u1ee3p tr\u1ee3 l\u00fd AI \u0111\u1ec3 h\u1ed7 tr\u1ee3 \u0111\u1ec1 xu\u1ea5t m\u00e3, g\u1ee1 l\u1ed7i v\u00e0 hi\u1ec3n th\u1ecb t\u1ef1 \u0111\u1ed9ng.<\/p>\n<\/li>\n

              3. \n

                H\u1ee3p t\u00e1c n\u00e2ng cao<\/strong>: C\u00e1c t\u00ednh n\u0103ng h\u1ed7 tr\u1ee3 ch\u1ec9nh s\u1eeda c\u1ed9ng t\u00e1c theo th\u1eddi gian th\u1ef1c, cho ph\u00e9p l\u00e0m vi\u1ec7c nh\u00f3m li\u1ec1n m\u1ea1ch gi\u1eefa nh\u1eefng ng\u01b0\u1eddi d\u00f9ng t\u1eeb xa.<\/p>\n<\/li>\n

              4. \n

                H\u1ed7 tr\u1ee3 ng\u00f4n ng\u1eef m\u1edf r\u1ed9ng<\/strong>: Ti\u1ebfp t\u1ee5c t\u00edch h\u1ee3p c\u00e1c ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh v\u00e0 th\u01b0 vi\u1ec7n b\u1ed5 sung \u0111\u1ec3 ph\u1ee5c v\u1ee5 nhu c\u1ea7u khoa h\u1ecdc d\u1eef li\u1ec7u \u0111a d\u1ea1ng.<\/p>\n<\/li>\n<\/ol>\n

                C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi Hosted Jupyter<\/h2>\n

                M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c n\u00e2ng cao t\u00ednh b\u1ea3o m\u1eadt v\u00e0 hi\u1ec7u su\u1ea5t c\u1ee7a c\u00e1c phi\u00ean b\u1ea3n Hosted Jupyter. Ch\u00fang c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3:<\/p>\n

                  \n
                1. \n

                  Truy c\u1eadp an to\u00e0n<\/strong>: M\u00e1y ch\u1ee7 proxy \u0111\u00f3ng vai tr\u00f2 trung gian gi\u1eefa ng\u01b0\u1eddi d\u00f9ng v\u00e0 m\u00e1y ch\u1ee7 Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef, b\u1ed5 sung th\u00eam m\u1ed9t l\u1edbp b\u1ea3o m\u1eadt \u0111\u1ec3 b\u1ea3o v\u1ec7 kh\u1ecfi c\u00e1c truy c\u1eadp tr\u00e1i ph\u00e9p v\u00e0 c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng ti\u1ec1m \u1ea9n.<\/p>\n<\/li>\n

                2. \n

                  C\u00e2n b\u1eb1ng t\u1ea3i<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ph\u00e2n ph\u1ed1i l\u01b0u l\u01b0\u1ee3ng truy c\u1eadp \u0111\u1ebfn gi\u1eefa nhi\u1ec1u phi\u00ean b\u1ea3n Jupyter \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef, \u0111\u1ea3m b\u1ea3o s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean hi\u1ec7u qu\u1ea3 v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t.<\/p>\n<\/li>\n

                3. \n

                  L\u1ecdc l\u01b0u l\u01b0\u1ee3ng truy c\u1eadp<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 l\u1ecdc c\u00e1c y\u00eau c\u1ea7u \u0111\u1ebfn, ch\u1eb7n l\u01b0u l\u01b0\u1ee3ng truy c\u1eadp \u0111\u1ed9c h\u1ea1i v\u00e0 \u0111\u1ea3m b\u1ea3o giao ti\u1ebfp tr\u01a1n tru v\u00e0 \u0111\u00e1ng tin c\u1eady gi\u1eefa giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng v\u00e0 kernel.<\/p>\n<\/li>\n<\/ol>\n

                  Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n

                  \u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 Hosted Jupyter, b\u1ea1n c\u00f3 th\u1ec3 kh\u00e1m ph\u00e1 c\u00e1c li\u00ean k\u1ebft sau:<\/p>\n

                    \n
                  1. Trang web d\u1ef1 \u00e1n Jupyter<\/a><\/li>\n
                  2. T\u00e0i li\u1ec7u Jupyter<\/a><\/li>\n
                  3. V\u00ed d\u1ee5 v\u1ec1 m\u00e1y t\u00ednh x\u00e1ch tay Jupyter<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468562,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477479","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Hosted Jupyter: Empowering Collaborative Data Science<\/mark>","faq_items":[{"question":"What is Hosted Jupyter?","answer":"

                    Hosted Jupyter is an innovative web-based platform that allows users to create interactive notebooks containing live code, visualizations, and text. It supports multiple programming languages, making it a powerful tool for data analysis and collaborative research.<\/p>"},{"question":"Who developed Hosted Jupyter and when was it introduced?","answer":"

                    Hosted Jupyter was originally developed by a team of developers led by Fernando P\u00e9rez and Brian Granger. It was first introduced in 2014 as an evolution of the IPython project.<\/p>"},{"question":"How does Hosted Jupyter work?","answer":"

                    When you access Hosted Jupyter through your web browser, the frontend interface allows you to create and edit notebooks. These notebooks are stored on the server, and the code you input is executed by the kernel. The results are then sent back to the frontend for display, facilitating an interactive computing experience.<\/p>"},{"question":"What are the key features of Hosted Jupyter?","answer":"

                    Hosted Jupyter offers interactive computing, data visualization, code sharing, collaboration, and support for multiple programming languages. Its extensibility allows for the integration of various extensions and widgets, enhancing functionality and customization.<\/p>"},{"question":"What types of Hosted Jupyter are available?","answer":"

                    There are different types of Hosted Jupyter instances, including public hosted platforms, private hosted solutions, and cloud-based hosting.<\/p>"},{"question":"What are some common use cases for Hosted Jupyter?","answer":"

                    Hosted Jupyter finds applications in data analysis, research, data visualization, prototyping, testing, and interactive teaching.<\/p>"},{"question":"What challenges might users face while using Hosted Jupyter?","answer":"

                    Users may encounter challenges related to resource-intensive computations, security concerns in shared hosting environments, and managing package versions.<\/p>"},{"question":"How can these challenges be addressed?","answer":"

                    Resource optimization, implementing security measures, and using containerization technologies like Docker can address these challenges effectively.<\/p>"},{"question":"What are the future perspectives for Hosted Jupyter?","answer":"

                    The future of Hosted Jupyter includes improved performance, AI-powered assistance, enhanced collaboration features, and expanded language support.<\/p>"},{"question":"How can proxy servers be associated with Hosted Jupyter?","answer":"

                    Proxy servers can enhance the security and performance of Hosted Jupyter by acting as intermediaries, providing load balancing, and filtering incoming traffic.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477479","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477479\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468562"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477479"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}