“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 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 ...

For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

SQL-Driven Data Ingestion: Enhancing Big Data Pipelines With Python Automation In an era where data drives decision-making and innovation, the ability to effectively manage and process vast ...

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 ...

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

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 ...

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 ...

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

In 10 short years, Spark has become the dominant data processing framework for parallel big data analytics. It started out as a replacement for MapReduce, but it’s still going strong even as ...