“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 ...

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 production ...

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 ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

The Python community wanted a more Pythonic way to scale their code while also reducing the complexity of shifting code from a single machine to distributed environments. This demand has seen the ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

Open Intell and Open Python utilities aim to facilitate and accelerate buy-side data-driven decision making.

Why build your own user credentialing, form handling, security, and other stock components? These big and powerful Python frameworks cover all the bases.

“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 ...

At PyData, online-ad-platform company AppNexus will reveal how Python plays a critical role in its big data operations.