In many data analytics use cases, the Python code tends to be simple – requiring just a few lines — which means that time to market is reduced. This makes Python a natural fit for artificial ...

Python in Excel brings together the best of both worlds. It combines Python’s data analysis and visualization libraries with Excel’s features, allowing users to manipulate and explore data ...

With vast amounts of data, asset managers need sophisticated data analytics to derive insights. Here’s how to build a business case for advanced use cases.

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

If you want to master, or even just use, data analysis, Python is the place to do it. Python is easy to learn, it has vast and deep support, and most every data science library and machine ...

When doing data analysis, I prefer to use Jupyter notebooks as they provide a more convenient environment than the command line. You can inspect the data you are working with and write your ...

Benchmarks show significant performance benefits with both data analysis and machine learning apps, especially on many-core platforms. So, with Intel acceleration, it’s really no surprise to see the ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...