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Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.
With the Extension Pack for Java, VS Code makes a highly capable Java IDE and formidable competitor to Eclipse, NetBeans, and IntelliJ IDEA.
Sublime Text, Visual Studio Code, Brackets, and Atom rise to the top, but several others are also worth considering.
WebStorm, Visual Studio 2017, Visual Studio Code, NetBeans, Komodo, and Eclipse pull out the stops for JavaScript, Node.js, and friends.
Aimed at integrating models with Java applications, Deeplearning4j offers a stack of components for building JVM-based applications that incorporate AI
An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware
Highly parallelized and horizontally scalable, TigerGraph shines for use cases that require multi-hop analytic queries
Python programmers have many excellent options for creating web apps and APIs; Django, Weppy, Bottle, and Flask lead the way
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
How to choose the right test runner, test framework, assertion libraries, and add-on tools for your React project