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Daniel Arbuckle's Mastering Python
Key Features
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Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
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Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
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Get introduced to the mechanism for rewriting code in a
... | | An Introduction to Distributed Algorithms"Barbosa makes the otherwise difficult subject of distributed algorithms very enjoyable and attractive to both students and researchers. The leading intuitive discussion of each algorithm is so very well organized and clearly written that a reader can, without the slightest effort, have a clear picture of it. An ideal textbook for an... | | |
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Analysis of Algorithms : An Active Learning ApproachThe goal of Analysis of Algorithms is to raise awareness of the effect that algorithms have on the efficiency of a program and to develop the necessary skills to analyze general algorithms used in programs. The text presents the material with the expectation that it can be used with active and cooperative learning methodology, based on the premise... | | Non-linear Modeling and Analysis of Solids and StructuresThis book presents a theoretical treatment of nonlinear behavior of solids and structures in such a way that it is suitable for numerical computation, typically using the Finite Element Method. Starting out from elementary concepts, the author systematically uses the principle of virtual work, initially illustrated by truss structures, to give a... | | Mathematical Foundations of Computer Science 2013: 38th International Symposium, MFCS 2013, Klosterneuburg, Austria, August 26-30, 2013, Proceedings
This book constitutes the thoroughly refereed conference proceedings of the 38th International Symposium on Mathematical Foundations of Computer Science, MFCS 2013, held in Klosterneuburg, Austria, in August 2013. The 67 revised full papers presented together with six invited talks were carefully selected from 191 submissions. Topics covered... |
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