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本次搜索耗时 0.101 秒,为您找到相关结果约 417 个.
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  • pdf文档 PyMuPDF 1.24.2 Documentation

    con- tent image file, image in memory, pixmap PDF page display resolu- tion image resolution vectorized (except raster page content) rotation 0, 90, 180 or 270 de- grees any angle clipping no (full current outline tree (table of contents) with the one provided as the argument. After successful execution, the new outline tree can be accessed as usual via Document. get_toc() or via Document.outline. Parameters • annots (bool) – convert annotations. • widgets (bool) – convert fields / widgets. After execution, the document will no longer be a “Form PDF”. can_save_incrementally() • New in v1.16.0 Check
    0 码力 | 565 页 | 6.84 MB | 1 年前
    3
  • pdf文档 Jupyter Notebook 6.4.4 Documentation

    a interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving Shift-Enter, or by clicking either the “Play” button the toolbar, or Cell, Run in the menu bar. The execution behavior of a cell is determined by the cell’s type. There are three types of cells: code cells an interactive session as well as narrative text that accompanies the code but is not meant for execution. Rich output generated by running code, including HTML, images, video, and plots, is embeddeed in
    0 码力 | 182 页 | 1.53 MB | 1 年前
    3
  • pdf文档 Jupyter Notebook 6.2.0 Documentation

    a interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving Shift-Enter, or by clicking either the “Play” button the toolbar, or Cell, Run in the menu bar. The execution behavior of a cell is determined by the cell’s type. There are three types of cells: code cells an interactive session as well as narrative text that accompanies the code but is not meant for execution. Rich output generated by running code, including HTML, images, video, and plots, is embeddeed in
    0 码力 | 176 页 | 1.51 MB | 1 年前
    3
  • epub文档 Jupyter Notebook 6.2.0 Documentation

    a interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving Shift-Enter, or by clicking either the “Play” button the toolbar, or Cell, Run in the menu bar. The execution behavior of a cell is determined by the cell’s type. There are three types of cells: code cells kernel runtime issues typically found in Notebook server’s command window and/or Notebook cell execution. Gathering Information Should you find that your problem warrants that an issue be opened in notebook
    0 码力 | 283 页 | 4.07 MB | 1 年前
    3
  • pdf文档 Celery 2.1 Documentation

    distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asyn- This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> from tasks import add >>> add.delay(4, 4) execution options. Given a function create_user, that takes two arguments: username and password, you can
    0 码力 | 285 页 | 1.19 MB | 1 年前
    3
  • epub文档 Celery 2.1 Documentation

    distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> from tasks import add >>> add.delay(4, 4) execution options. Given a function create_user, that takes two arguments: username and password, you can
    0 码力 | 463 页 | 861.69 KB | 1 年前
    3
  • epub文档 Jupyter Notebook 6.4.4 Documentation

    a interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving Shift-Enter, or by clicking either the “Play” button the toolbar, or Cell, Run in the menu bar. The execution behavior of a cell is determined by the cell’s type. There are three types of cells: code cells kernel runtime issues typically found in Notebook server’s command window and/or Notebook cell execution. Gathering Information Should you find that your problem warrants that an issue be opened in notebook
    0 码力 | 293 页 | 4.08 MB | 1 年前
    3
  • epub文档 Celery 2.0 Documentation

    Tyrant backend settings Redis backend settings MongoDB backend settings Messaging settings Task execution settings Worker: celeryd Periodic Task Server: celerybeat Monitor Server: celerymon Cookbook Creating distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute This is a handy shortcut to the apply_async() method which gives greater control of the task execution. Read the Executing Tasks part of the user guide for more information about executing tasks. >>>
    0 码力 | 284 页 | 332.71 KB | 1 年前
    3
  • pdf文档 Celery 2.0 Documentation

    distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute This is a handy shortcut to the apply_async() method which gives greater control of the task execution. Read the Executing Tasks part of the user guide for more information about executing tasks. >>> State – Database transactions 2.1.1 Basics A task is a class that encapsulates a function and its execution options. Given a function create_user, that takes two arguments: username and password, you can
    0 码力 | 165 页 | 492.43 KB | 1 年前
    3
  • pdf文档 Celery 2.3 Documentation

    distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> from tasks import add >>> add.delay(4, 4) execution options. Given a function create_user‘, that takes two arguments: username and password, you can
    0 码力 | 334 页 | 1.25 MB | 1 年前
    3
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