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Welcome | Data Science at the Command Line, 2e

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. ....

Noord Holland , Columbia University , New York , United States , Karen Montgomery , Jared Lander , Paige Bailey , Johnd Cook , Jeroen Janssens , Jake Hofman , Chrish Wiggins , Dan Nguyen , Maastricht University , Tilburg University , Jheronimus Academy Of Data Science , New York Times , Microsoft Research , Command Line , Model Data , Unix Power Tools , Data Science , O Reilly Media , Visiting Professor , Professional Journalism , Lander Analytics , New York Open Statistical Programming Meetup ,

Mike Loukides, O'Reilly Media, Author at VentureBeat

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. ....

Mike Loukides , Vice President , Emerging Tech Content , System Performance Tuning , Unix Power Tools ,

Thinking About Glue – O'Reilly


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 show ....

Jim Stogdill , Marcel Weiher , Alan Kay , Why Is Microsoft Office , Dark Matter Of Software , Dark Matter , Microsoft Office , Glue Code , Hidden Technical Debt , Machine Learning Systems , Relational Management , Unix Power Tools , மார்செல் வீஹர் , ஆலன் காய் , இருள் விஷயம் , மைக்ரோசாஃப்ட் அலுவலகம் , இயந்திரம் கற்றல் அமைப்புகள் ,