This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools useful whether you work with Windows, macOS, or Linux.
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Mike Loukides is Vice President of Emerging Tech Content for O'Reilly Media. He's edited many highly regarded books on technical subjects and is particularly interested in programming languages, Unix, and system and network administration. Mike is the author of System Performance Tuning and a coauthor of Unix Power Tools and Ethics and Data Science. Most recently, he's been writing about data and artificial intelligence, ethics, and the future of programming. He's also a pianist, a ham radio operator, and a lover of birds. This is a complete list of VentureBeat articles written by Mike Loukides, O'Reilly Media, in reverse chronological order.
Prismatic (source: Pixabay)
In Glue: the Dark Matter of Software, Marcel Weiher asks why there’s so much code. Why is Microsoft Office 400 million lines of code? Why are we always running into the truth of Alan Kay’s statement that “Software seems ‘large’ and ‘complicated’ for what it does”?
Weiher makes an interesting claim: the reason we have so much code is Glue Code, the code that connects everything together. It’s “invisible and massive”; it’s “deemed not important”; and, perhaps most important, it’s “quadratic”: the glue code is proportional to the square of the number of things you need to glue. That feels right; and in the past few years, we’ve become increasingly aware of the skyrocketing number of dependencies in any software project significantly more complex than “Hello, World!” We can all add our own examples: the classic article Hidden Technical Debt in Machine Learning Systems shows a block