Julia vs. Python: Julia language advantages. Julia was designed from the start for scientific and numerical computation. Thus it’s no surprise that Julia has many features advantageous for such ...

The database giant is leveraging assets from its acquisition of DataScience.com to deliver a new enterprise-grade, cloud-based data science platform focused on collaboration.

Along with the shift to cloud data science, the survey found that NoSQL databases rank just behind cloud services, “demonstrating their value for storing and processing semi-structured data,” Anaconda ...

Snowflake is also releasing Snowpark-optimized data platforms, initially on the Amazon Web Services Inc. cloud, so Python developers can run large-scale machine learning training models and other ...

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

According to Oracle, the key differentiating factor for its data science platform is team collaboration features and tight integration with a variety of data sources available in OCI. Oracle Cloud ...

AUSTIN, Texas--(BUSINESS WIRE)--Anaconda Inc., provider of the world’s most popular data science platform, today announced that it has acquired PythonAnywhere, a cloud-based Python development ...

DataRobot, a player in automated machine learning and artificial intelligence, said Tuesday that it's acquiring Zepl, a cloud data science and analytics platform. The company said the acquisition ...

Granted, I’m a lowly tech journalist and not a data scientist, but my own usage of the new Gemini 2.0-powered data science agent in Colab so far has been less than seamless.