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 ...

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 ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and was ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

For the past few months, I've been covering different software packages for scientific computations. For my next several articles, I'm going to be focusing on using Python to come up with your own ...

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 ...

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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 ...