Foundations Of Agile Python Development
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Foundations of Agile Python Development
You've long been enamored with the Python language, and have mastered its many nuances. Yet something seems to be missing—a productivity boost that you know is possible but you're not sure how to go about it. This was the sentiment of so many developers before discovering Agile programming paradigm, which embraces concepts such as automation, effective code management, and test–driven development. Foundations of Agile Python Development is the first book to apply these sought–after principles to Python developers, introducing both the tools and techniques built and supported by the Python community. Authored by Jeff Younker, a well–known member of Python's agile community who is perhaps best known for his creation of a popular Python testing framework, this book is sure to be a hit among readers who may have reached their limits of knowledge regarding the Python language, yet are seeking to improve their understanding of how sound processes can boost productivity to unparalleled heights.
Foundations of Agile Python Development
You ve long been enamored with the Python language, and have mastered its many nuances. Yet something seems to be missing a productivity boost that you know is possible but you re not sure how to go about it. This was the sentiment of so many developers before discovering Agile programming paradigm, which embraces concepts such as automation, effective code management, and test driven development. Foundations of Agile Python Development is the first book to apply these sought after principles to Python developers, introducing both the tools and techniques built and supported by the Python comm.
Pro Hadoop Data Analytics
Learn advanced analytical techniques and leverage existing tool kits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation. Pro Hadoop Data Analytics emphasizes best practices to ensure coherent, efficient development. A complete example system will be developed using standard third-party components that consist of the tool kits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system. The book also highlights the importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. You'll discover the importance of mix-and-match or hybrid systems, using different analytical components in one application. This hybrid approach will be prominent in the examples. What You'll Learn Build big data analytic systems with the Hadoop ecosystem Use libraries, tool kits, and algorithms to make development easier and more effective Apply metrics to measure performance and efficiency of components and systems Connect to standard relational databases, noSQL data sources, and more Follow case studies with example components to create your own systems Who This Book Is For Software engineers, architects, and data scientists with an interest in the design and implementation of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.