Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object Model. This session will feature practical demonstrations, code examples, ...

The power of Python trumps Excel workbooks.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...

Do you find yourself doing the same repetitive SEO tasks each day or facing challenges where there are not tools that can help you? If so, it might be time for you to learn Python. An initial ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Vienna, Austria, June 25, 2026 -- digna, the European data quality and observability platform, today announced the release of ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ...

In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...