DataSpell 2022.3

変更を追跡および元に戻すためのローカル履歴と共に、リモートJupyterデバッグをサポート
12月 2, 2022
新バージョン

機能

  • Remote development
    • Configure remote interpreters using SSH - Remote Python interpreters can now be used via SSH connections. Local project files will be synced with and executed on the remote server, and packages can be added and removed using the UI.
    • Remote debugging on Jupyter - It is now possible to debug notebooks on remote Jupyter servers, with support for Step Into and Step Over functionality.
  • Editor
    • Ability to track and revert changes in Jupyter notebooks - Meaningful changes to your current file are now automatically tracked independently from version control.
    • Data Vision - With Data Vision, you can npw inspect Jupyter variables within your notebook. Enabling this feature gives useful inline information about a number of important variable types, such as the size and contents of NumPy arrays and pandas DataFrames.
  • Tables and databases
    • Enhanced DataFrame interactivity - There are now many more options for working with DataFrames in Jupyter notebooks. DataFrames can be exported in a wide variety of formats, including Microsoft Excel, JSON, HTML, XML, Markdown tables, and SQL Insert statements.
    • Redis support - Redis is now available as a supported database connection in DataSpell’s database tools. Redis databases can be connected, navigated, and queried right from DataSpell.
  • Quick Documentation
    • Recognition of attributes and parameters - Attributes and parameters defined in a docstring are now recognized as part of the Quick Documentation. Function parameters defined in the Other Parameters section of NumPy functions are also shown in the quick documentation popup.
    • Type declarations shown in quick documentation - Type declarations, such as those created in dataclasses, are now recognized and displayed as part of the Quick Documentation.
  • UI
    • Ability to enable the new UI - The new lightweight UI is now available in DataSpell. It introduces a simplified main toolbar, a new tool window layout, an updated icon set, and new light and dark color themes.
    • Unified Settings Sync plugin - The functionality of the separate IDE Settings Sync and Settings Repository plugins has been combined into a single Settings Sync plugin. This plugin is capable of syncing your settings across all IDE instances connected to your JetBrains account. Settings include the UI, keymaps, code style, color schemes, and bundled plugins.
Remote debugging on Jupyter

DataSpell(英語版)

プロフェッショナルなデータサイエンティスト向けのIDE

DataSpell(英語版)は、次の製品にも含まれています。

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