Released: Apr 4, 2024

2024.1 での更新項目

機能

ML-powered code completion

• Improved the local model that powers ML-assisted full line code completion for Python. Full line code completion now generates longer suggestions and considers a broader context, leading to better suggestions and less typing. As a purely local model, it offers code suggestions, proposing entire lines of code, without sending any data to an external server.

SQL for data frames and CSV files

• You can now write SQL to query data frames and CSV files right from your Jupyter notebook.

Import Data cells

• Import Data cells are another new feature of Jupyter notebooks in this release. Simply drop a file with tabular data on an Import Data cell and start working with it using visual controls or Python code.

dbt Core

• The latest release introduces several updates to the existing dbt support:
  • DAGs are powerful tools in the toolkit of analytics engineers, and with this release, you can view the graphs directly in DataSpell. Navigation has also become even easier - just click on the nodes in the DAG.
  • Code completion for dbt Core projects has been improved, with updates to completion for Jinja, model names, column names, YAML files, and more.
  • You can now easily run, preview, and test any model directly from the SQL file. Simply click on the gutter and choose from the available options.