You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional ...

As with other programming languages, Python has libraries to make coding tasks easier. Here's how you can take advantage of them, and how you can create your own libraries as well. Libraries are ...

Preset software packages in Python allow for custom scientific analysis. Damien Irving, a weather and climate scientist at the University of Melbourne in Australia, discusses the software and tools ...

Natural language processing, or NLP for short, is best described as “AI for speech and text.” The magic behind voice commands, speech and text translation, sentiment analysis, text summarization, and ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors ...

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 ...