<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Dataspell Convert Ipynb to Python</title><link>http://www.bing.com:80/search?q=Dataspell+Convert+Ipynb+to+Python</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Dataspell Convert Ipynb to Python</title><link>http://www.bing.com:80/search?q=Dataspell+Convert+Ipynb+to+Python</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>DataSpell | JetBrains for Data</title><link>https://www.jetbrains.com/dataspell/</link><description>DataSpell, part of the JetBrains product family, offers a powerful platform with best‑in‑class tools for working with code and data. Benefit from advanced features for deeper data analysis and extensive customization options.</description><pubDate>Wed, 03 Jun 2026 19:34:00 GMT</pubDate></item><item><title>JetBrains is Sunsetting DataSpell - componentsource.com</title><link>https://www.componentsource.com/news/2026/06/04/jetbrains-sunsetting-dataspell</link><description>DataSpell was created by JetBrains to focus on the needs of data science and analytics professionals within the JetBrains ecosystem. It provided a dedicated experience for working with Jupyter notebooks, data exploration, and analytical workflows.</description><pubDate>Thu, 04 Jun 2026 15:51:00 GMT</pubDate></item><item><title>JetBrains DataSpell: A Look at the IDE for Data Science</title><link>https://pangea.ai/resources/jetbrains-dataspell-an-in-depth-look-at-the-ide-for-data-science</link><description>Look no further than JetBrains DataSpell. This robust IDE is packed with features tailored to data exploration, machine learning, AI-assisted coding, and more — all aimed at helping you maximize the potential of your data.</description><pubDate>Wed, 03 Jun 2026 14:48:00 GMT</pubDate></item><item><title>The Good, the Bad and the DataSpell - Towards Data Science</title><link>https://towardsdatascience.com/the-good-the-bad-and-the-dataspell-a86fec8fd6e1/</link><description>DataSpell is JetBrain’s flagship IDE for Data Scientists. It’s not the most lightweight IDE, it still suffers from bugs and most chances you’d have to pay for it.</description><pubDate>Thu, 04 Jun 2026 12:16:00 GMT</pubDate></item><item><title>DataSpell IDE - JetBrains IDE for Data Science and Notebooks</title><link>https://github.com/DataSpell-IDE</link><description>Download DataSpell IDE for a focused data science workspace built by JetBrains, combining notebooks, Python coding, database tools, smart assistance, and project management in one polished environment. Compare capabilities, streamline analysis, and explore DataSpell features for faster research.</description><pubDate>Thu, 28 May 2026 23:52:00 GMT</pubDate></item><item><title>End of an era: JetBrains is killing this popular IDE used by Python ...</title><link>https://www.neowin.net/news/end-of-an-era-jetbrains-is-killing-this-popular-ide-used-by-python-devs/</link><description>DataSpell is a highly specialized IDE that JetBrains built specifically for data scientists, offering first-class Jupyter Notebook support and a comfortable environment for exploratory analysis.</description><pubDate>Tue, 02 Jun 2026 21:01:00 GMT</pubDate></item><item><title>How to Work with DataSpell | Jetbrains DataSpell Tutorial for Python</title><link>https://www.youtube.com/watch?v=KUE0MPIo0Jc</link><description>Jetbrains DataSpell Tutorial | Complete Overview + DataSpell Jupyter: In this video, we will talk about how to work with Jetbrains DataSpell IDE (which is one of the best python programming...</description><pubDate>Tue, 31 Mar 2026 16:18:00 GMT</pubDate></item><item><title>The Upcoming Sunset of DataSpell – IDE</title><link>https://ide.com/the-upcoming-sunset-of-dataspell/</link><description>DataSpell was created to focus on the needs of data science and analytics professionals within the JetBrains ecosystem. It allowed us to build and refine a dedicated experience for working with Jupyter notebooks, data exploration, and analytical workflows.</description><pubDate>Thu, 04 Jun 2026 14:39:00 GMT</pubDate></item><item><title>How is Dataspell for data engineering and analysis? - Reddit</title><link>https://www.reddit.com/r/datascience/comments/1286qtp/how_is_dataspell_for_data_engineering_and_analysis/</link><description>So as I need SQL a lot for me it is DataSpell is a good choice at the moment. Alternatively I thought about trying out VSCode + DataGrip, but then only having to use one program instead of two seems easier to me right now.</description><pubDate>Sat, 17 Aug 2024 21:25:00 GMT</pubDate></item><item><title>The Upcoming Sunset of DataSpell – Mingooland</title><link>https://mingooland.com/2026/05/the-upcoming-sunset-of-dataspell/</link><description>DataSpell was created to focus on the needs of data science and analytics professionals within the JetBrains ecosystem. It allowed us to build and refine a dedicated experience for working with Jupyter notebooks, data exploration, and analytical workflows.</description><pubDate>Tue, 02 Jun 2026 19:21:00 GMT</pubDate></item></channel></rss>