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 Corporate Sigma: Optimizing the Health of Your Company with Systems Thinking
One study after the next shows that most employees are unhappy with their jobs and that less than a third actively engage with their work. That means that two out of every three are merely putting in their time, rather than maximizing productivity and attaining satisfaction. One could argue that such a malaise is the symptom of an unhealthy... | | The Discrete Fourier Transform: Theory, Algorithms and Applications
This book provides comprehensive coverage of practical Fourier analysis. It develops the concepts right from the basics and gradually guides the reader to the advanced topics. It presents the latest and practically efficient DFT algorithms, as well as the computation of discrete cosine and Walsh-Hadamard transforms. The large numbers of... | | Kanban in Action
Summary
Kanban in Action is a down-to-earth, no-frills, get-to-know-the-ropes introduction to kanban. It's based on the real-world experience and observations from two kanban coaches who have introduced this process to dozens of teams. You'll learn the principles of why kanban works, as well as... |
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Test-Driven Development with Python
By taking you through the development of a real web application from beginning to end, this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to... | | OpenStack Cloud Computing Cookbook - Second Edition
Over 100 recipes to successfully set up and manage your OpenStack cloud environments with complete coverage of Nova, Swift, Keystone, Glance, Horizon, Neutron, and Cinder
Overview
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Updated for OpenStack Grizzly
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Learn how to install, configure, and manage all of the OpenStack core projects...
| | Introduction to Stochastic Integration (Modern Birkhäuser Classics)
A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability.
Using the modern approach, the... |
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