If you want to analyze data in Python, you'll want to become familiar with pandas, as it makes data analysis so much easier. The DataFrame is the primary data format you'll interact with. Here's how ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

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 ...

NumPy (Numerical Python) is an open-source library for the Python programming language. It is used for scientific computing and working with arrays. Apart from its multidimensional array object, it ...

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As a system and application engineer, I’ve saved countless hours by automating measurements with software such as LabVIEW. Although I’ve used it to build measurement applications, I’ve started to ...

Python is a great language for automating everyday tasks, from managing files to interacting with websites. Libraries like ...

Spiffy and convenient as Python is, most everyone who uses the language knows it’s comparatively creaky—orders of magnitude slower than C, Java, or JavaScript for CPU-intensive work. But several ...

This story contains interviews with Facebook engineering manager Burc Arpat, AppNexus ad-quality engineering director Dave Himrod, and Pandas creator Wes McKinney and Pandas developer Jeff Reback. But ...