These are the most important updates for DataSpell 2023.3 EAP 1. DataSpell can now automatically suggest appropriate options for magic commands, making the coding process more convenient and efficient. We’ve introduced smart completion for Jupyter Magics. After sorting the table once, just hold down Option(Mac) or Alt(Windows) and click the second column you want the table to be sorted by. In DataSpell, doing so is now straightforward. Sort DataFrames by several columnsĭata analysts often need to arrange data by multiple columns to conduct comprehensive analysis and uncover patterns. The feature now supports the pandas Series as well. It allows you to efficiently access important descriptive statistics for your datasets, speeding up data analysis. Introduced for Jupyter in DataSpell 2023.2, we’ve now also made this feature accessible in the Python console. The ability to easily initialize Git repositories.įaster table data exploration in the Python consoleĭataSpell users are already appreciating the ability to explore table data faster.Automatic package installation, ensuring the seamless installation of necessary packages for Jupyter and Python.Data analysis project templates provide several productivity enhancements, including: Initial environment setup is an essential part of every data analyst’s workflow, and we are working to automate and optimize this process. Please try them out and share your feedback in the comments below or in our issue tracker. You can also manually download the EAP builds from our website.īelow you’ll find the most noteworthy improvements available in DataSpell 2023.3 EAP 1. The Toolbox App is the easiest way to get the EAP builds and keep both your stable and EAP versions up to date. The first EAP release of DataSpell 2023.3 introduces several exciting features: faster table data exploration in the Python console along with support for pandas Series, data analysis project templates, the ability to sort DataFrames by multiple columns, and code completion for Jupyter Magics.
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