For images, dedicated actions have been added for saving images to a file.For table results, dedicated actions have been added to open the data in separate tabs.Improved scrolling of notebooks and their results.Ability to hide individual results in a cell using a keyboard shortcut or the mouse.Here are the main improvements that have been made in this sense: The JetBrains team has extensively studied the user experience with the notebooks. It supports Python scripting, providing a read, eval, print, loop (REPL) to execute the code correctly, as well as tools that will allow developers to work with interactive and static data visualization. Dataspell supports working with local Jupyter notebooks, as well as remote Jupyter, JupyterHub and JupyterLab servers. The notebook includes Markdown and JavaScript support cell output. The native Jupyter notebook support is emphasized in the context of using the IDE while offering an improved experience, according to the software company. The interface has been designed to facilitate coding while focusing on data. Unveiled on September 7 in preview mode, the DataSpell IDE is accessible from. This IDE is intended to be a real Swiss army knife for data science development and aims to improve the user experience with notebooks.Īfter P圜harm, JetBrains launches DataSpell, its new development environment Dedicated to data science, the tool offers data analysis and machine learning model prototyping. JetBrains, a software company for developers, presents in preview mode, its new development environment (IDE) called DataSpell.

Jetbrains dataspell vs pycharm