We support and provide wheels for Python 3.8, 3.9, 3.10, 3.11, and 3.12; Both 32 and 64 bits, for Windows, macOS, and most versions of Linux.

“The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter, and aggregate data in a Jupyter Notebook, and build visuals in Excel. Now ...

Two build tool chains are supported. Primarily, the Spring Cloud Data Flow UI uses npm (Node.js -based) for managing dependencies and the execution of the build. In order to provide easier Continuous ...

Toolbar: Manage diagrams with options for saving, exporting, zooming, and configuration. DBeaver supports diagrams for existing tables, schemas, and custom visualizations. You can select, modify, and ...

xii, 376 pages : 24 cm Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research ...