New in Datalore: Chart Cells, Spelling and Grammar Checking, Initialization Scripts, and More
Greetings from the Datalore team! Does the #Tesla stock price depend on Elon Musk’s mood? In this newsletter, we’ll share a new tutorial for sentiment analysis and talk about the new features that can improve your daily workflow in Datalore. Chart cells Could you imagine that working with visualizations in Python would be as easy as it is in spreadsheets? Last month we took a step further towards this idea and released a new type of cell – Chart cells. Chart cells allow you to create visualizations for any data frames you already have in your notebook with just a few clicks.
Revamped Reactive Mode and How It Makes Your Notebooks Reproducible
Greetings from the Datalore team! Jupyter notebooks can get messy. Perhaps you have tried different things in one notebook, or maybe you have chunks of outdated code and variable declarations all over the place. This isn’t necessarily a sign that something is wrong. Rather, the tool was designed to allow you to work this way. For the last 3 years, our Datalore team has been experimenting with ways to address the mess. Today we are happy to introduce the new Reactive mode, which helps you make sure your notebooks are always tidy and up-to-date 🚀 What is the new Reactive mode?
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 that need more powerful computation hardware. Here is a comparison table for Datalore Community and Datalore Professional. Take a closer look, and decide which plan best fits your needs! Community
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.
Datalore Pro: Online Jupyter Notebooks with GPU Access, Hosted by JetBrains
We have some really exciting news for you – we’ve introduced a new Datalore plan, called Datalore Professional. This new plan comes with increased processing power and added storage for even faster calculation of bigger datasets.
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 previous Datalore logo can still be found in the Datalore kernel, because it’s now being developed as a separate product. Domain change Now you can find Datalore resources under the jetbrains.com domain.
What is Datalore?
Datalore is an Online Data Science Notebook with smart coding assistance. Read about Datalore's features in this blogpost and get excited to try it out!
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: 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".