This book assumes an introductory knowledge of kdb+. It also assumes you have q installed (or know how to install it). Most q developers use the language to build tickerplants, databases or CEP engine. Few use q as an analytics platform, however. This is beginning to change. This book is for the community of developers who, like me, have fallen in love with programming in q and want to extend their computing knowledge into the world of big data and machine-learning algorithms while simultaneously learning how to write better q. It is also for the data scientists who find that the data they need—or want—to analyze is increasingly being stored in a kdb+ database. Using their existing machine-learning knowledge, they will be able to learn q programming idioms that will improve their ability to write efficient code.
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