Tag: data science
Break point: Jupyter, Operator SDK, Boundary, Google, GitHub, and Puppet
JupyterLab and Jupyter Notebook users are strongly encouraged to jump on a deployment of the projects’ latest versions, […]
LF AI & Data gets new incubator projects to simplify distributed learning
Linux Foundation subsidiary LF AI & Data Foundation has welcomed projects Substra and TonY into its incubator, increasing […]
Honeycomb makes room for metrics as observability space grows and thrives
With a recent update to its product, debugger for live production systems Honeycomb has finally submitted to sprinkling […]
D3 7.0 to boost compatibility with Node.js by going all-in on ECMAScript modules
Popular data visualisation library D3 just received a major version bump, improving compatibility with JavaScript runtime environment Node.js. […]
Microsoft uncoils Azure SDK for data science using Conda and Python
Microsoft has made available a preview of an Azure SDK for Python (Conda) for data scientists working with […]
Red Hat reveals OpenShift Platform Plus, adds managed cloud services to OpenShift Dedicated service
Red Hat has unveiled OpenShift Platform Plus, an updated version of the firm’s enterprise application platform that adds […]
JetBrains opens early access to upcoming data science development environment
JetBrains is building a development environment focused on data science workflows and has opened up an early access […]
RStudio 1.4 brings the pane as data scientists get visual mode, new Python powers
R development environment RStudio has made 1.4 available for downloading now. The latest version was released just in […]
Just add Python: JupyterLab 3.0 arrives, making it easier to extend and debug notebooks
JupyterLab, a web-based user interface for Jupyter Notebooks, has just rolled out its third major release, providing users […]