P圜harm will provide information about the type and dimensions of the tables, complete names and types of the columns, and allow you to use sorting for the tables. Both Python and Jupyter debuggers work with Polars as well. In the Python console, you can inspect Polars DataFrames via the View as DataFrame option in the Special Variables list. In P圜harm, you can work with interactive Polars tables in Jupyter notebooks. P圜harm 2023.2 will allow you to work with a new, blazingly fast DataFrame library written in Rust – Polars. In Settings / Preferences | Editor | Inspections, we’ve implemented syntax highlighting for code samples, which facilitates comprehension of any given inspection and its purpose. Syntax highlighting in inspection descriptions

By unchecking this checkbox, you can choose the highlighting scheme that works best for you. To use it, go to Settings | Editor | Color Scheme | Python and choose Local variables from the list of available options.īy default, the highlighting is set to inherit values from the Language Defaults identifiers. P圜harm 2023.2 will provide a dedicated syntax highlighting option for local variables. Dedicated syntax highlighting for Python local variables The feature is enabled by default and can be managed in Settings/Preferences | Advanced Settings | Search Everywhere. With this enhancement, text search results are displayed when there are few or no other search results available for a given query. The Search Everywhere (Double ⇧ / Double Shift) functionality, primarily utilized for searching through files, classes, methods, actions, and settings, now includes text search capabilities similar to Find in Files.

If you want to catch up on the updates from the previous EAP build, you can refer to this blog post for more details.ĭownload P圜harm 2023.2 EAP UX Text search in Search Everywhere You can get the latest build from our website, the free Toolbox App, or via snaps for Ubuntu.

Try new, time-saving live templates for Django forms, models, and views, as well as support for a super-fast Polars DataFrame library and initial GitLab integration. The second Early Access Program build brings a bunch of features for both web developers and data scientists.

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