The latest updates on all JetBrains products and topics
Learn how PyCharm streamlines data modeling with dbt, offering features like Git integration, smart autocompletion, AI-powered assistance, and more.
Use PyCharm’s interactive tables to clean, explore, and visualize your datasets. Discover how PyCharm's features can help streamline your data science workflow.
Read this article to learn the difference between vanilla Jupyter notebooks and Jupyter Notebook support in PyCharm, a professional data science IDE.
Read this guide to learn how to use Jupyter notebooks in PyCharm to boost your productivity when working with data.
Use the PyCharm integration with Databricks to enhance the data intelligence platform with the powerful Python IDE by JetBrains.
The second Early Access Program (EAP) release of DataSpell 2024.1 delivers a range of exciting updates focusing on enhanced dbt Core support. This EAP version enhances code completion, introduces the ability to incorporate environment variables into run configurations, and enables the execution of m…
We invite you to join our livestream How to work with SQL and Databases in DataSpell. The event will take place on Monday, January 22, at 1:00 PM UTC. Date: January 22, 2024 Time: 1:00 pm UTC (2:00 pm CET / 8:00 am EST) Register In this livestream, we’ll show you how to write…
DataSpell 2023.3 introduces features designed to help you significantly boost your productivity. JetBrains AI Assistant is now generally available with a number of new and improved features. We've integrated support for dbt Core, the well-known data transformation framework, into DataSpell. Working…
The fourth EAP build for DataSpell 2023.3 brings completion for database objects in SQL cells, the ability to get insights from your DataFrame using JetBrains AI Assistant, productivity boosters for interactive tables, and Full Line Code Completion. To catch up on all of the new features in DataS…
The third EAP build for DataSpell 2023.3 brings dbt® support, JetBrains AI Assistant actions via the context menu in Jupyter, and easy access to column statistics and data distribution histograms in tables. To catch up on all of the new features in DataSpell 2023.3, check out our previous EAP blo…
The second EAP release of DataSpell 2023.3 introduces several exciting features, including SQL cells in Jupyter notebooks and graphical representation of column data. The Toolbox App is the easiest way to get the EAP builds and keep both your stable and EAP versions up to date. You can also manua…
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. Th…
