New in Datalore: Cell Redesign, PDF and Python File Export, Embedly Support, Twitter Challenge, and More
For the last month, we’ve been working on implementing a frequent user request to export notebooks into different types of files and to share code on other platforms. You might have also already noticed that the look of the editor has changed a bit. Read on to learn more about the recent updates in Datalore 👇🏻
New in Datalore: Publishing Update, Documentation, Pandas Tutorial and More
In January and February we introduced a lot of updates to Datalore: we integrated the UI for publishing notebooks, released the first version of Datalore’s documentation, updated the landing page, and introduced improvements for working with files from Python code.
Datalore Improvements in 2020: Datalore Professional, a Better Coding and UI Experience, and More
Last year presented an unexpected challenge for the world, one we all had to rise to. In 2020, we managed to launch Datalore Professional and deliver lots of great new features for our users. Here we’ve assembled a description of some of the most notable ones. Datalore Professional In November we launched Datalore Professional. It was designed for solving more complex tasks with larger datasets t
New in Datalore: S3 Buckets Support, Workspace Files, Two Inspiring Research Posts and Other Updates
Though this is our final blog post of 2020, we have a bunch of new Datalore updates we’d like to share, including the results of two major studies we recently conducted.
New in Datalore: Pro Plan Launch and Future Changes, Anaconda Collaboration, Dark Theme, Soft-wrap and Advanced Visualization Tutorial
Greetings from the Datalore team! This November we released a major update: the Professional Plan is now available for Datalore users 🚀 Read on to learn more about the future of Datalore Pro.
New in Datalore: Onboarding, Code Formatting, Shortcuts for Moving Cells, and Neural Network for Art Generation
Our team has been working on a huge project this October, which we will be revealing in November. And we’ve still managed to add some small but long-awaited features to Datalore to make the UX even better.
New in Datalore: Sidebar, Startup Time Improvement, Stack Trace Navigation, Tensorflow Code Insight, and Two New tutorials
This September has been quite productive for our Datalore team. We’ve performed a lot of user interviews and implemented some long-awaited features to improve the user experience. And now we are happy to share the new updates with you!
New in Datalore: Logo and Domain Change, Command Palette, Rename Refactoring, and Other Small Fixes
We hope your summer has been amazing. For us at Datalore, the upcoming autumn season brings a new beginning, and we are happy to announce some fresh updates. Logo update Perhaps you’ve already noticed that the Datalore logo has changed. This update is symbolic of a fresh start for the team, and we hope you like it as well. A huge thanks to the JetBrains Design team for working hard on it. The pre
New in Datalore: Documentation Popups, Better Code Completion, Interactive Widgets, and Enhanced Markdown
Enjoy documentation inside the Datalore Online Notebook, incorporate Ipywidgets into your projects, and learn about Markdown improvements.
New in Datalore: Kotlin support, auto import quick fix, and better completion
From now you can create Data Science Notebooks using Kotlin and enjoy better code completion.
New in Datalore: Intentions, magics, command mode, and more
Read about our monthly updates on the Datalore's smart coding assistance and try out our new "Distraction free mode".
New in Datalore: Inspections, Quick-fixes, and More Plotting
In Datalore, we are continuously adding features that help you be more productive while coding and make your work more valuable through powerful visualization.
New in Datalore: New UI, code insight, support for Zeppelin, Plotly and more
Enjoy a new coding experience working on your Data Science projects thanks to the code insight and the new UI of Datalore.