Download PDF Military Strategy: A General Theory of Power ControlBy Joseph Caldwell Wylie

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In Military StrategyRear Admiral J.C. Wylie invented the intellectual framework and terminology with which to understand strategy as a means of control. He synthesized the four existing specific theories of strategy into one general theory that is as valid today as when it was first created. Wylie has written a penetrating new postscript especially for this "Classics of Sea Power" edition that takes an up-to-the-minute look at such topics as terrorism, Nicaraguan politics, and the Strategic Defense Initiative. To supplement the text, John Hattendorg's introduction presents a detailed intellectual biography of Wylie. In addition, several of Wylie's most significant shorter writings are included as appendixes. J.C. Wylie retired from the U.S. Navy as a rear admiral in 1972, after a forty-four-year naval career that included service as chief of staff as the Naval War College. John B. Hattendorf is Ernest J. King Professor of Maritime History at the Naval War College in Newport, Rhode Island, and co-editor of "Sea Power" series.

• Sales Rank: #12195804 in Books
• Published on: 1980-09
• Original language: English
• Binding: Hardcover
• 118 pages

About the Author
Rear Admiral Joseph Caldwell Wylie, Jr., USN was born March 3, 1911 and died on January 29, 1993 in Portsmouth, Rhode Island.

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Download Scala for Data ScienceBy Pascal Bugnion

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Leverage the power of Scala with different tools to build scalable, robust data science applications

About This Book

• A complete guide for scalable data science solutions, from data ingestion to data visualization
• Deploy horizontally scalable data processing pipelines and take advantage of web frameworks to build engaging visualizations
• Build functional, type-safe routines to interact with relational and NoSQL databases with the help of tutorials and examples provided

Who This Book Is For

If you are a Scala developer or data scientist, or if you want to enter the field of data science, then this book will give you all the tools you need to implement data science solutions.

What You Will Learn

• Transform and filter tabular data to extract features for machine learning
• Implement your own algorithms or take advantage of MLLib's extensive suite of models to build distributed machine learning pipelines
• Read, transform, and write data to both SQL and NoSQL databases in a functional manner
• Write robust routines to query web APIs
• Read data from web APIs such as the GitHub or Twitter API
• Use Scala to interact with MongoDB, which offers high performance and helps to store large data sets with uncertain query requirements
• Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations
• Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive

In Detail

Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines.

This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala.

Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala's emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks.

This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering solutions.

Style and approach

A tutorial with complete examples, this book will give you the tools to start building useful data engineering and data science solutions straightaway

• Sales Rank: #143163 in eBooks
• Published on: 2016-01-28
• Released on: 2016-01-28
• Format: Kindle eBook

About the Author

Pascal Bugnion

Pascal Bugnion is a data engineer at the ASI, a consultancy offering bespoke data science services. Previously, he was the head of data engineering at SCL Elections. He holds a PhD in computational physics from Cambridge University. Besides Scala, Pascal is a keen Python developer. He has contributed to NumPy, matplotlib and IPython. He also maintains scikit-monaco, an open source library for Monte Carlo integration. He currently lives in London, UK.

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Get Free Ebook Using SQLite: Small. Fast. Reliable. Choose Any Three.

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About the Author

Jay Kreibich is a professional software engineer who has always beeninterested in how people process and understand information. He iscurrent working for Volition, Inc., a software studio that specializesin open-world video games. He lives on a small farm in central Illinois with his wife and two sons, where he enjoys reading, photography, and tinkering.

Read more

Product details

Paperback: 530 pages

Publisher: O'Reilly Media; 1 edition (August 27, 2010)

Language: English

ISBN-10: 0596521189

ISBN-13: 978-0596521189

Product Dimensions:

7 x 1.2 x 9.2 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review:

4.1 out of 5 stars

20 customer reviews

Amazon Best Sellers Rank:

#190,813 in Books (See Top 100 in Books)

This is a book about SQLite written for C programmers who need to hook into SQLite. It's well-written, but was not for me. I am not a C programmer. That said, I am planning on keeping this book as I dive into other texts in my effort to be able to write programs that need a database. I had previously read "Getting Started with SQL: A Hands-on Approach" by Thomas Nield. That book was a great little primer, but did not go far enough.

Many times you need a small database, and don't need / want to set up a server to run it. SQLite is the answer, and is probably the most installed database in the world. Using SQLite helps you get started, gives you a database / SQL primer, and in the second held of the book gives you programming API details initially in C with brief help in a variety of other languages later in the book.I bought the Kindle version, and found the ability text search made it invaluable.

Straight and to the point. Wonderful tutorial. Overall, a great textbook for understanding SQLite.(I am a 30-year career programmer who never before played with SQL!)

Very practical and with a deep look at the internal implementation.

You really can't lose with books from O'Reilly. Since I already knew a fair bit about SQL, the important thing was to find the strange bits about SQLite to get up and running quickly. This book gives you that.Of course, you can learn a lot simply by poking around on-line, but my rule for the past 15-odd years has been to get grounded in an O'Reilly book whenever possible. Once you know what you don't know, then the best resourcs are often free online and you can ask questions from the geek community.

I consult this book regularly in my day to day use of SQLite. There is no information in this book which can not be found elsewhere, but the book captures everything very clearly and it is rare to find a case where the book does not provide the information which is needed.

Very detailed explanation of various SQLite commands, but VERY FEW EXAMPLES. This is weird because usually OReilly books are rich with examples, but this is an exception. Since the net provides very few rich examples of SQLite usage, a cookbook-style SQLite volume would be a big help. This isn't it. Not worth the Kindle price.

Every program has to address data storage and manipulation some way. SQLite makes it possible for a desktop program to cart around a nearly full fledged SQL database engine which can be operated upon by the executeQuery or executedUpdate methods available in major desktop or web languages such as Java or PHP. There are numerous 3rd party SQL drivers for SQLite. Being a Java programmer, my favorite is sqlite-jdbc.

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