Practical DataOps: Delivering Agile Data Science at Scale
Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful...
Grokking Simplicity: Taming complex software with functional thinking
is a friendly, practical guide that will change the way you approach software design and development.
Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity
is a friendly, practical guide that...
Secure Communicating Systems: Design, Analysis, and Implementation This volume details what every computer scientist ought to know about cryptographic systems, security protocols, and secure information flow in programs. Highlights include discussions of the new advanced encryption standard "Rijndael"; an optimal public-key encryption using RSA which turns "textbook RSA" into a practical... Personal Finance with Python: Using pandas, Requests, and Recurrent
Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together.
In Personal Finance with Python
you will learn Python and finance at...
Adaptive Networks: Theory, Models and Applications (Understanding Complex Systems) With adaptive, complex networks, the evolution of the network topology and the dynamical processes on the network are equally important and often fundamentally entangled. Recent research has shown that such networks can exhibit a plethora of new phenomena which are ultimately required to describe many real-world networks. Some of those phenomena...
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