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F# is a typed functional programming language for the NET Framework which allows you to write simple code to solve complex problems It combines the succinctness, expressivity, and compositionality of typed functional programming with the runtime support, libraries, interoperability, tools, and object model of NET The aim of this book is to help you become an expert in using F# and the NET Framework Functional programming has long inspired researchers, students, and programmers alike with its simplicity and expressive power Applied functional programming is booming: a new generation of typed functional languages is reaching maturity; some functional language constructs have been integrated into languages such as C#, Python, and Visual Basic; and there is now a substantial pool of expertise in the pragmatic application of functional programming techniques.

is a typed functional programming language for the NET Framework It combines the succinctness, expressivity, and compositionality of typed functional programming with the runtime support, libraries, interoperability, tools, and object model of NET Our aim in this book is to help you become an expert in using F# and the NET Framework Functional programming has long inspired researchers, students, and programmers alike with its simplicity and expressive power Applied functional programming is booming: a new generation of typed functional languages is reaching maturity; some functional language constructs have been integrated into languages such as C#, Python, and Visual Basic; and there is now a substantial pool of expertise in the pragmatic application of functional programming techniques There is also strong evidence that functional programming offers significant productivity gains in important application areas such as data access, financial modeling, statistical analysis, machine learning, software verification, and bio-informatics.

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Many excellent database texts are available that offer coverage of relational theory and practice. However, few offer material suitable for a classroom or lab environment. Even fewer resources are available for students to explore the inner workings of database systems. This book offers an opportunity for instructors to augment their database classes with hands-on labs. There are three ways that this text can be used in a classroom setting. The text can be used to add depth to an introductory undergraduate or graduate database course. Parts 1 and 2 can be used to provide in-depth coverage of special topics in database systems. Suggested topics for lectures include those presented in s 2, 3, 4, and 6. These topics can be used in addition to more traditional database theory or systems texts. Hands-on exercises or class projects can be drawn from s 6 and 8. An advanced database course for undergraduate or graduate students can be based on Parts 1 and 2, where each chapter can be presented over the course of 8 to 12 weeks. The remainder of the lectures can be spent on discussing the implementation of physical storage layers and the notion of storage engines. Semester projects can be based on 7 and allow students to build their own storage engines. A special-topics course on database systems internals for the senior undergraduate or graduate students can be based on the entire text, with lectures based on the first nine chapters. Semester projects can be derived from Part 3 and allow students to implement the remaining features of the database experimental platform. These features include applications of language theory, query optimizers, and query execution algorithms.

There is also strong evidence that functional programming offers significant productivity gains in important application areas such as data access, financial modeling, statistical analysis, machine learning, software verification, and bio-informatics More recently, functional programming is part of the rise of declarative programming models, especially in the data query, concurrent, reactive, and parallel programming domains F# differs from many functional languages in that it embraces imperative and object-oriented (OO) programming It also provides a missing link between compiled and dynamic languages, combining the idioms and programming styles typical of dynamic languages with the performance and robustness of a compiled language The F# designers have adopted a design philosophy that allows you to take the best and most productive aspects of these paradigms and combine them while still placing primary emphasis on functional programming techniques This book helps you understand the power that F# offers through this combination F# and .

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