Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

Doris Lee is the CEO and co-founder of Ponder, which recently closed a $7 million seed round led by Lightspeed Venture Partners. The company, which promises to solve usability challenges with data ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

IPython Notebook has become common in the workflow of many data scientists who use Python — a common language for doing data science, right up there with R. But Lamp wanted something different.

Machine learning and data science development isn’t exactly a walk in the park, but Netflix hopes to streamline the arduous bits with a new freely available platform.

Microarray data analysis has been the subject of extensive and ongoing pipeline development due to its complexity, the availability of several options at each analysis step, and the development of new ...

Obtaining precise, high-quality lipidomic (or metabolomic) datasets comes with its challenges. One factor that I am sure comes to mind is the ability to minimize, or even better, eliminate those large ...

You can also Python for DevOps, system scripting, web development, and data science, Silge said. “You can use it to do almost anything,” she added. SEE: IT Hiring Kit: Programmer (Tech Pro ...