Dimensional Data

News Releases JupyterHub 2.0 support, the ability to copy files to remote Jupyter servers, runtime completion, and the DataSpell Onboarding Tour It’s been quite a while since we released the first public version of DataSpell back in November 2021. We’ve received a lot of feedback since then and are doing our best to address it with new features and fixes coming with the new DataSpell 2022.1 release. Improvements to the way DataSpell interacts with remote Jupyter servers brought the inclusion of JupyterHub 2.0 support, as well as the ability to copy files from the local machine to remote Jupyter right in the workspace. Both local and remote Jupyter notebooks now handle kernel restart requests better. Further support for notebook cell manipulations with fixes for cell output copy-pasting and group cell manipulations like code to markdown cell conversions have been added. Writing code in Jupyter is now enhanced by the completion provided by Jupyter runtime and the superclasses extraction action Python script users are familiar with. Cell outputs received a number of fixes, making work with interactive tables smoother. Interactive graphics like Plotly and Bokeh now use the same theme as the IDE does, making it visually appealing for those who use dark themes. Last but not least: if you’ve never tried DataSpell and are wondering how its Jupyter notebooks’ features look, or just want a quick recap, it’s now easier than ever with the Onboarding Tour embedded right in the IDE. Go through the detailed feature descriptions below, give the new release a try, and share your feedback and feature requests with us via our issue tracker and Slack! Download DataSpell 2022.1 Remote Jupyter support Over the past few years, usage of remote servers for computation and data storage has increased throughout the industry – the fields of data analysis and machine learning are no exception. Network accessible Jupyter servers allow access to shared data and computational resources, providing the ability to collaborate with your teammates. To ensure you can adopt this trend, the new DataSpell release brings improvements for your remote Jupyter workflows. Support for JupyterHub 2.0 JupyterHub, a platform that provides multi-user access to remote Jupyter servers, has received a major upgrade with version 2.0, which introduced roles and scopes. DataSpell 2022.1 has adopted the API changes of the new version and allows connections to JupyterHub 2.0 by URL; the same way connections work for Jupyter and JupyterHub 1.0 servers. Choose File | Add Jupyter connection…, paste the JupyterHub server URL, and work with Jupyter notebooks right from DataSpell. Copying files to and from remote Jupyter servers With DataSpell 2022.1, you can copy local files to a remote Jupyter instance and vice versa. You can also copy them between two remote Jupyter instances. This simplifies the exchange of data and notebooks, and it helps you keep your projects in sync. You can use the context menu or keyboard shortcuts to copy and paste files. Outputs The ability to readily explore computation results is one of the cornerstones of interactive programming with Jupyter. Our goal is to make cell outputs as easy to manipulate as the source code chunks, and provide interactivity and visual appeal at the same time. Cell output copy-pasting Cell outputs are now copy-pasted along with the cell sources. This feature, in addition to a number […]

News Releases In this first release of 2022, we decided to focus on polishing existing features and workflows instead of adding new functionality, especially after our previous release that introduced multiple long-awaited features such as support for Jupyter and Remote Development, respectively. Here is a summary of what’s new in PyCharm 2022.1. Download PyCharm 2022.1 IDE Authentication support for custom package repositories Now you can configure basic HTTP authentication to access custom package repositories and manage dependencies via PyCharm without switching to the terminal for manual installation. Go to the Python Packages tool window, click on the gear icon, click the plus sign in the dialog window, add the repository URL, and then select the Basic HTTP option to enter the required credentials. The new repository will appear on the list of packages in the left-hand side window. Code insight Enhanced code completion for TypedDict Dict literals can be used as arguments for functions or to instantiate objects from classes where TypedDict is expected. Doing so became even easier in PyCharm 2022.1 thanks to its new code completion for keys. Improved TypedDict per-key warnings We also improved the warnings for TypedDict. Now, when a dictionary created as a literal or by using the dict constructor is used where TypedDict is expected, PyCharm will display per-key error messages pointing to the individual values that are wrong, missing, or not expected. Improved Markdown support Run commands from Markdown files You often find instructions with commands to execute when working with Markdown files, such as in README files, for example. Now you can just run those commands directly from the file itself, by using the run icon in the gutter. Copy code snippet for Markdown Copying and pasting code snippets from Markdown files is also very common, and now you can use the new Copy code snippet to do this, available in Markdown blocks. Jupyter Support [Pro] Code cells remain in Edit mode after execution In order to make working with Jupyter notebooks a more fluid experience, new cells inserted after you Run Cell and Insert Below now default to Edit mode, so you can start writing code in it right away. The same behavior applies when you are editing and decide to run your current cell. It will remain in Edit mode even after being executed. Optimized cell copy-pasting To make your Jupyter experience more pleasant still, we changed the copy/cut and paste behavior for when you copy or cut a cell that has an output while in Command mode. Now, whenever you paste it back to your notebook, the output will also be pasted and you won’t need to execute the cell again. Databases [Pro] MongoDB: Editing fields in results In PyCharm 2022.1, editing the results in MongoDB collections or result sets obtained via .find() became as easy as it is in relational databases. This improvement also works when cursor methods that modify the result, such as sort() or limit(), are executed after .find(). Docker [Pro] New Services UI for Docker Working with Docker became easier and more organized in PyCharm 2022.1. We’ve significantly reworked the Docker UI in the Services tool window to give you much clearer control of your containers, images, networks, and volumes. These are all the features we wanted to highlight. Read about other features included in […]