“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

When it comes to analyzing big data, software packages such as Hadoop or the R statistical language come readily to mind. But at least one company, AppNexus, also relies on the Python programming ...

Python for Prototype And Production. A big achievement of the DisCo project is successfully using Python for both prototyping the machine learning pipeline as well as deploying at scale in a ...

While distributed computing is great for scaling and providing greater reliability, it does introduce complexity when it comes to design, development, and testing. Python has become the default ...

Improve your Python testing even more. In my last two articles, I introduced pytest, a library for testing Python code (see "Testing Your Code with Python's pytest" Part I and Part II). pytest has ...

Big data testing requires a pretty different paradigm because volumes are huge and data processing needs to be in ... I have written Python scripts that trigger the events, test the data flow, ...

Hospitals in Paris are trialling Big Data and machine learning systems designed to forecast admission rates – leading to more efficient deployment of resources and better patient outcomes. It ...

Big data testing requires a pretty different paradigm because volumes are huge and data processing needs to be in ... I have written Python scripts that trigger the events, test the data flow, ...