Heterogeneous System Architecture: A New Compute Platform Infrastructure

admin阅读(86)

Heterogeneous System Architecture: A New Compute Platform Infrastructure by [Hwu, Wen-mei W.]
Heterogeneous System Architecture: A New Compute Platform Infrastructure
By 作者: Wen-mei W. Hwu
ISBN-10 书号: 0128003863
ISBN-13 书号: 9780128003862
Edition 版本: 1
Release Finelybook 出版日期: 2015-12-04
pages 页数: (206 )

$59.95


Book Description to Finelybook sorting

Heterogeneous Systems Architecture – a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program. HSA also defines a virtual ISA for parallel routines or kernels, which is vendor and ISA independent thus enabling single source programs to execute across any HSA compliant heterogeneous processer from those used in smartphones to supercomputers.
The book begins with an overview of the evolution of heterogeneous parallel processing, associated problems, and how they are overcome with HSA. Later chapters provide a deeper perspective on topics such as the runtime, memory model, queuing, context switching, the architected queuing language, simulators, and tool chains. Finally, three real world examples are presented, which provide an early demonstration of how HSA can deliver significantly higher performance thru C++ based applications. Contributing authors are HSA Foundation members who are experts from both academia and industry. Some of these distinguished authors are listed here in alphabetical order: Yeh-Ching Chung, Benedict R. Gaster, Juan Gómez-Luna, Derek Hower, Lee Howes, Shih-Hao HungThomas B. Jablin, David Kaeli,Phil Rogers, Ben Sander, I-Jui (Ray) Sung.

Provides clear and concise explanations of key HSA concepts and fundamentals by expert HSA Specification contributors
Explains how performance-bound programming algorithms and application types can be significantly optimized by utilizing HSA hardware and software features
Presents HSA simply, clearly, and concisely without reading the detailed HSA Specification documents
Demonstrates ideal mapping of processing resources from CPUs to many other heterogeneous processors that comply with HSA Specifications
Contents
Copyright
Foreword
Preface
About the Contributing Authors
Chapter 1:Introduction
Chapter 2:HSA Overview
Chapter 3:HSAIL-Virtual Parallel ISA
Chapter 4:HSA Runtime
Chapter 5:HSA Memory Model
Chapter 6:HSA Queuing Model
Chapter 7:Compiler Technology
Chapter 8:Application Use Cases:Platform Atomics
Chapter 9:HSA Simulators
Index


下载地址

Heterogeneous System Architecture 9780128003862.zip

Building Blockchain Apps

admin阅读(152)

Building Blockchain Apps
Building Blockchain Apps
By 作者: Michael Juntao Yuan
ISBN-10 书号: 0135172322
ISBN-13 书号: 9780135172322
Edition 版本: 1
Release Finelybook 出版日期: 2019-12-20
pages 页数: (336 )

$39.99

Book Description to Finelybook sorting

A Developer’s Guide to Blockchain Programming Fundamentals
Blockchain development is entering a period of explosive growth, as real applications gain traction throughout multiple industries and cryptocurrencies earn greater acceptance throughout the financial sector. Blockchain represents one of the most promising opportunities for developers to advance and succeed. Building Blockchain Apps is a comprehensive guide to today’s most advanced and robust blockchain programming models and architectures.
Building on his pioneering experience, Michael Juntao Yuan covers a wide range of blockchain application development paradigms. The book starts with a concise introduction to blockchain and smart contract technologies. It then guides you through application development on Ethereum-compatible smart contract platforms. Ethereum is the largest and most robust blockchain ecosystem in the world.
Coverage includes

Ethereum topics such as tools, application frameworks, internal data structure, external data interfaces, and future roadmap
An introduction to new blockchain data protocol based on ElasticSearch, which provides insights into the current state of smart contracts and enables new application designs
How to build an application-specific smart contract protocol by modifying and customizing the open source Ethereum Virtual Machine and its programming language tools
How to extend and support language features that are most suitable for particular kinds of smart contracts (e.g., smart contracts for e-commerce marketplaces) with the open source Lity project
How to customize and change the blockchain consensus layer beneath the application layer via the popular Tendermint and Cosmos SDK frameworks
A survey of cryptocurrency and financial topics from the developers’ point of view, providing an analytical framework for valuating cryptocurrencies and explaining the roles crypto exchanges


Contents


Foreword
Acknowledgments
About the Author
Register Your Product
Part l: Introduction
1. An Introduction to Blockchain
2. Reaching Consensus
3. Your First Blockchain App
Part l: An Introduction to Ethereum
4. Getting Started
5. Concepts and Tools
6. Smart Contracts
7. Decentralized Applications(Dapps)
8. Alternatives to Dapps
Part ll: Ethereum in Depth
9. Inside Ethereum
10. Blockchain Data Services
11. Smart Contract Search Engine
12. Smart Contract Security and Best Practices
13. The Future of Ethereum
Part IV: Building Application Protocols
14. Extending the Ethereum Protocol
15. Extending Ethereum Tools
16. Example Dapps
17. Business Rules and Contracts
18. Building an Application-Specific EVM
Part V: Building Your Own Blockchain
19. Getting Started with Tendermint
20. The Business Logic
21. Creating a Blockchain Client
Part VI: Cryptoeconomics
22. The Cryptoeconomics of Token Design
23. Initial Coin Offerings
24. Cryptocurrency Exchanges
A. Getting Started with CyberMiles
Index
Credits
Code Snippets


下载地址

Building Blockchain Apps 9780135172322.zip

Python Data Analysis: An Introduction to Computer Science: Learn Step By Step How to Use Python Programming Language, Pandas, and How You Can Use Them For Machine Learning

admin阅读(163)

“Python Data Analysis: An Introduction to Computer Science: Learn Step By Step How to Use Python Programming Language, Pandas, and How You Can Use Them For Machine Learning”,作者:[Eddison, Steve]Python Data Analysis: An Introduction to Computer Science: Learn Step By Step How to Use Python Programming Language, Pandas, and How You Can Use Them For Machine Learning
By 作者: Steve Eddison
ISBN-10 书号: 1709888989
ISBN-13 书号: 9781709888984
Release Finelybook 出版日期: 2019-11-20
pages 页数: (150 )

$16.38

Book Description to Finelybook sorting

Are you ready to learn more about your business and the industry you are in, and work to use this information in order to help you improve your business? Would you like to be able to compare more than one possibility and see which one is going to provide you with the best outcome if you choose to go with it? How would it feel to know how to cut out the waste that you have in your business, how to handle and respond to your customers, and how to know what kind of product is the perfect one out on market?
Then working with data analysis is the best option for you to work with. This guidebook is going to take some time to look at data analysis and what it all entails for you. This is going to be a great process that many businesses are going to jump on in order to learn more about how to run their business and how to get ahead of the competition.
When we are able to combine together data analysis and Python, we are able to really give our business a competitive edge. Companies are often interested in learning how to work with this process, but in this guidebook, we are able to learn more about this process, and some of the steps that we are able to take in order to complete this analysis on our own as well.
There are a lot of steps that come with completing data analysis and learning how to handle them can make a big difference. Some of the topics that we are going to take a look at when it comes to machine learning, data analytics, and predictive analytics inside of this guidebook will include:

The basics of the Python language and why it is a great language to use with data analysis.
How to install the Python language on any operating system that you would like to use.
What a data analysis is all about and how it is able to benefit your business.
Working with the Pandas library and how to make this work for your data analysis process.
How to work with machine learning and how this fit into the whole process.
Expanding out to using predictive analysis and how this helps with your data analysis as well.
There are a lot of different things that come up with data analysis, and many companies are able to work with it to help them improve and be more successful. When we combine it with the Python coding language, we will see how easy this process can be.
Introduction
Chapter 1:What Is the Python Language
Chapter 2:How to Install Python and Get Started with Coding
Chapter 3:What is a Data Analysis?
Chapter 4:The Benefits and Negatives of Python for Data Analysis
Chapter 5:A Look At Databases and How Python Can Help
Chapter 6:An Introduction to Pandas
Chapter 7:How to Set Up and Install the Pandas Library
Chapter 8:What is Machine Learning and How It Fits In
Chapter 9:The Importance of Predictive Analysis and How It Uses Our Data Analysis to Help
Conclusion

Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision

admin阅读(140)

Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision
Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)
By 作者: Donald J. Norris
ISBN-10 书号: 1484251733
ISBN-13 书号: 9781484251737
Edition 版本: 1st ed.
Release Finelybook 出版日期: 2019-11-30
pages 页数: (568 )

$34.99

Book Description to Finelybook sorting

Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable.
Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been “touched” by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision.
What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.
What You’ll Learn

Acquire a working knowledge of current ML
Use the Raspberry Pi to implement ML techniques and algorithms
Apply AI and ML tools and techniques to your own work projects and studies
1. Introduction to machine learning (ML) with the Raspbery Pi(RasPi)
2. Exploration of ML data models: Part 1
3. Exploration of ML data models: Part2
4. Preparation for deep learning
5. Practical deep learning ANN demonstrations
6. CNN demonstrations
7. Predictions using ANNs and CNNs
8. Predictions using CNNs and MLPs for medical research
9. Reinforcement learning
Back Matter

Security Fundamentals

admin阅读(113)

Security Fundamentals
Security Fundamentals
By 作者: Crystal Panek
ISBN-10 书号: 1119650666
ISBN-13 书号: 9781119650669
Edition 版本: 1
Release Finelybook 出版日期: 2019-11-12
pages 页数: (304 )

$40

Book Description to Finelybook sorting

A Sybex guide to Windows Security concepts, perfect for IT beginners
Security is one of the most important components to every company’s computer network. That’s why the Security Fundamentals MTA Certification is so highly sought after. Filling IT positions is a top problem in today’s businesses, so this certification could be your first step toward a stable and lucrative IT career. Security Fundamentals is your guide to developing a strong foundational understanding of Windows security, so you can take your IT career to the next level and feel confident going into the certification exam.
Security Fundamentals features approachable discussion of core security concepts and topics, and includes additional learning tutorials and tools. This book covers everything you need to know about security layers, authentication, authorization, security policies, and protecting your server and client. Each chapter closes with a quiz so you can test your knowledge before moving to the next section.

Learn everything you need for the Security Fundamentals MTA Certification
Understand core security principles, including security layers and network security
Learn essential concepts in physical security, internet security, and wireless security
Identify the different types of hardware firewalls and their characteristics
Test your knowledge and practice for the exam with quiz questions in every chapter
IT professionals looking to understand more about networking will gain the knowledge to effectively secure a client and server, and to confidently explain basic security concepts. Thanks to the tools and tips in this Sybex title, you will be able to apply your new IT security skills in real world situations and on exam day.

Acknowledgments
About the Author
Introduction
Lesson 1 Understanding Security Layers
Leson 2 Understanding Authentication,Authorization,and Accounting
Lesson 3 Understanding Security Policies
Lesson 4 Understanding Network Security
Lesson 5 Protecting the Server and Client
Appendix Answer Key
Index
Advert
End User License Agreement


下载地址

Security Fundamentals 9781119650669.zip

RabbitMQ in Depth

admin阅读(721)

RabbitMQ in Depth
RabbitMQ in Depth

By 作者: Gavin M. Roy

ISBN-10 书号: 1617291005
ISBN-13 书号: 9781617291005
Edition 版本: 1
Release Finelybook 出版日期: 2017-09-27
pages 页数: 264

$59.99

Book Description to Finelybook sorting

About the Technology
At the heart of most modern distributed applications is a queue that buffers, prioritizes, and routes message traffic. RabbitMQ is a high-performance message broker based on the Advanced Message Queueing Protocol. It’s battle tested, ultrafast, and powerful enough to handle anything you can throw at it. It requires a few simple setup steps, and you can instantly start using it to manage low-level service communication, application integration, and distributed system message routing.
About the Book
RabbitMQ in Depth is a practical guide to building and maintaining message-based applications. This book provides detailed coverage of RabbitMQ with an emphasis on why it works the way it does. You’ll find examples and detailed explanations based in real-world systems ranging from simple networked services to complex distributed designs. You’ll also find the insights you need to make core architectural choices and develop procedures for effective operational management.
What’s Inside
AMQP, the Advanced Message Queueing Protocol
Communicating via MQTT, Stomp, and HTTP
Valuable troubleshooting techniques
Database integration
Written for programmers with a basic understanding of messaging-oriented systems.
About the Author
Gavin M. Roy is an active, open source evangelist and advocate who has been working with internet and enterprise technologies since the mid-90s. Technical editor James Titcumb is a freelance developer, trainer, speaker, and active contributor to open source projects.
Contents
Copyright
Brief Contents
Contents
Preface
Acknowledgments
About This Book
Part 1. RabbitMQ and application architecture
Chapter 1. Foundational RabbitMQ
Chapter 2. How to speak Rabbit: the AMQ Protocol
Chapter 3. An in-depth tour of message properties
Chapter 4. Performance trade-offs in publishing
Chapter 5. Don’t get messages; consume them
Chapter 6. Message patterns via exchange routing
Part 2. Managing RabbitMQ in the data center or the cloud
Chapter 7. Scaling RabbitMQ with clusters
Chapter 8. Cross-cluster message distribution
Part 3. Integrations and customization
Chapter 9. Using alternative protocols
Chapter 10. Database integrations
Appendix. Getting set up


下载地址

https://545c.com/file/15081096-418677416

Python Data Science: The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application

admin阅读(241)

Python Data Science: The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application
Python Data Science: The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application (Programming)
By 作者: Steve Eddison
ISBN-10 书号: 1709892129
ISBN-13 书号: 9781709892127
Release Finelybook 出版日期: 2019-11-20
pages 页数: (149 )

$16.99

Book Description to Finelybook sorting

If you need to learn how to use the Python Programming Language , then keep reading.
Data science is one of the biggest buzzwords in the business right now, garnering the attention of companies through various industries in the world. And for good reason. With the help of this process, it is easier than ever to reach your customers, figure out the next product to bring to the market with less risk, beat out the competition, and even figure out how to reduce waste while still delivering the high quality that you need.
This guidebook is going to spend some time focusing on data science, and all of the steps that your business can take in order to make data science an important step to your success. No matter what reason you have for implementing this data science project for your own business, and no matter what business problem you would like to solve, data science, with the help of the Python language, is sure to get you there.
Inside this guidebook, you are going to learn all of the secrets that are needed to help you make data science the tool that your business needs to see success. We will look at how Python and data science can go hand in hand to give you the best results, and all of the steps of the data life cycle, plus helpful codes, to put this all together and actually get the parts of data science to do what you desire.
As you go through this guidebook, you will learn all of the important steps that are needed to get done with data science and all of the algorithms to help you sort through your data and see some amazing results. Some of the topics that we will discuss inside include:
What is data science all about?

Some of the basic parts that come with the Python coding language.
The reasons why we would want to work with Python for data science over some of the other options.
The best Python libraries for completing your data science project.
The basics of the data life cycle and how you can follow these to learn insights and put your business ahead of the competition.
The basics of data mining and how it can help with this process.
The basic codes that we are able to work with when combining Python with data mining.
A complete walkthrough of the Pandas library and how it can help your data science process.
How to use your data to ensure that all of your business decisions are smart and driven by data.
Data science is a growing trend for many companies, and all of the power and insights that can come from it makes it the perfect tool for any company in any industry to handle.
Introduction
Chapter 1:What is Data Science?
Chapter 2:The Basics of the Python Language
Chapter 3:Why Use Python for Data Science?
Chapter 4:The Best Python Libraries for Data Science,and How They Can Help Get the Job Done
Chapter 5:The Basics for the Data Life Cycle
Chapter 6:What is Data Mining?
Chapter 7:Some of the Basics of Data Mining with Python
Chapter 8:Your Complete Course to Working with the Pandas Library
Chapter 9:Using Your Data to Make Smart Business Decisions
Conclusion

Python Advanced Programming: The guide to learn pyhton programming. Reference with exercises and samples about dynamical programming, multithreading, multiprocessing, debugging, testing and more

admin阅读(206)

Python Advanced Programming: The guide to learn pyhton programming. Reference with exercises and samples about dynamical programming, multithreading, multiprocessing, debugging, testing and more
Python Programming: The complete guide to learn Python with practical exercises and samples. Includes Python for Beginners and Python Advanced Programming.
By 作者: Kevin Lioy
ISBN-10 书号: 1704442257
ISBN-13 书号: 9781704442259
Release Finelybook 出版日期: 2019-11-01
pages 页数: (272 )

$26.99

Book Description to Finelybook sorting

If you want to learn the most modern programming language in the world, then keep reading.
Pyhton is an high-level programming language. It’s a modern language, easy to learn and understand but very powerful.
It’s a versatile programming language that is now being used on a lot of different projects, from World-class Internet companies to small hobbyists, Python is extremely flexible and can be useful in a lot of different fields.
With Python, you can develop apps, games and any kind of software.
In fact, Python is one of the highest-demand skill for professional developers.
Python Advanced Programming approaches this programming language in a very practical method to make sure you can learn everything you need to start working with Python as soon as possible and to handle advanced feature of this unique language.
You will learn…

Advanced procedural programming techniques
What is Dynamic Code Execution
Advanced OOP functions most developers are not aware of
Functional-style programming with Python
How to debug, test and profile your software
How to handle multiple processes
The best techniques to spread the workload on different threads
Chapter 1:Advanced Programming Techniques
Further Procedural Programming
Branching Using Dictionaries
Generator Expressions and Functions
Chapter 2:Dynamic Code Execution
Dynamic Code Execution
Dynamically Importing Modules
Function and Method Decorators
Function Annotations
Chapter 3:Further Object-Oriented Programming
Controlling Attribute Access
Functors
Context Managers
Descriptors
Class Decorators
Abstract Base Classes
Multiple Inheritance
The metaclass
Chapter 4:Functional-Style Programming
Partial Function Application
Coroutines
Performing Independent Actions on Data
Chapter 5:DEBUGGING,TESTING AND PROFILING
Chapter 6:Debugging
Dealing with Syntax Errors
Dealing with Runtime Errors
Scientific Debugging
Unit Testing
Profiling
Chapter 7:Processes and Threading
Using the Multiprocessing Module


下载地址

Python Advanced Programming 9781704442259.zip

OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815

admin阅读(80)

OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815
OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815
By 作者: Jeanne Boyarsky – Scott Selikoff
ISBN-10 书号: 1119584701
ISBN-13 书号: 9781119584704
Edition 版本: 1
Release Finelybook 出版日期: 2019-12-05
pages 页数: (608 )

$60

Book Description to Finelybook sorting

The comprehensive study aide for those preparing for the new Oracle Certified Professional Java SE Programmer I exam–fully updated for the latest update of Exam 1Z0-815
Used primarily in mobile and desktop application development, Java is a platform-independent, object-oriented programming language. It is the principal language used in Android application development as well as a popular language for client-side cloud applications. Oracle has updated its Java Programmer certification tracks for Oracle Certified Professional.
The OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide covers 100% of exam objectives, ensuring that you are thoroughly prepared for this challenging certification exam. This comprehensive, in-depth study guide helps you develop the functional-programming knowledge required to pass the exam and earn certification. All vital topics are covered, including Java building blocks, operators and loops, String and StringBuilder, Array and ArrayList, and more. Included is access to Sybex’s superior online interactive learning environment and test bank–containing self-assessment tests, chapter tests, bonus practice exam questions, electronic flashcards, and a searchable glossary of important terms. This indispensable guide:

Clarifies complex material and strengthens your comprehension and retention of key topics
Covers all exam objectives such as methods and encapsulation, exceptions, inheriting abstract classes and interfaces, Modules, and Lambda Expressions
Explains object-oriented design principles and patterns
Helps you master the fundamentals of functional programming
Enables you to create Java solutions applicable to real-world scenarios
There are over 9 millions developers using Java around the world, yet hiring managers face challenges filling open positions with qualified candidates. The OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide will help you take the next step in your career.
Acknowledgments
About the Authors
Introduction
Taking the Assessment Test
Answers to Assessment Test
Chapter 1 Welcome to Java
Chapter 2 Java Building Blocks
Chapter 3 Operators
Chapter 4 Making Decisions
Chapter 5 Core Java APls
Chapter 6 Lambdas and Functional Interfaces
Chapter 7 Methods and Encapsulation
Chapter 8 Class Design
Chapter 9 Advanced Class Design
Chapter 10 Exceptions
Chapter 11 Modules
Appendix Answers to Review Questions
Index
Advert
End User License Agreement


下载地址

OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide Exam 1Z0-815 9781119584704.zip

Concurrency in .NET Modern patterns of concurrent and parallel programming

admin阅读(570)

Concurrency in .NET: Modern patterns of concurrent and parallel programmingConcurrency in .NET: Modern patterns of concurrent and parallel programming
By 作者: Riccardo Terrell
ISBN-10 书号: 1617292990
ISBN-13 书号: 9781617292996
Edition 版本: 1
Release Finelybook 出版日期: 2018-08-30
pages 页数: 568

$59.99


Book Description to Finelybook sorting

Concurrency in .NET teaches you how to build concurrent and scalable programs in .NET using the functional paradigm. This intermediate-level guide is aimed at developers, architects, and passionate computer programmers who are interested in writing code with improved speed and effectiveness by adopting a declarative and pain-free programming style.
Unlock the incredible performance built into your multi-processor machines. Concurrent applications run faster because they spread work across processor cores, performing several tasks at the same time. Modern tools and techniques on the .NET platform, including parallel LINQ, functional programming, asynchronous programming, and the Task Parallel Library, offer powerful alternatives to traditional thread-based concurrency.
Concurrency in .NET teaches you to write code that delivers the speed you need for performance-sensitive applications. Featuring examples in both C# and F#, this book guides you through concurrent and parallel designs that emphasize functional programming in theory and practice. You’ll start with the foundations of concurrency and master essential techniques and design practices to optimize code running on modern multiprocessor systems.
What’s Inside

The most important concurrency abstractions
Employing the agent programming model
Implementing real-time event-stream processing
Executing unbounded asynchronous operations
Best concurrent practices and patterns that apply to all platforms

About the Cover llustration
Part 1: Benefits of functional programming applicable to concurrent programs
Chapter 1: Functional concurrency foundations
Chapter 2: Functional programming techniques for concurrency
PChapter 3: Functional data structures and immutability
Part 2: How to approach the different parts of a concurrent program
Chapter 4: The basics of processing big data: data parallelism, part 1
Chapter 5: PLINQ and MapReduce: data parallelism, part 2
Chapter 6: Real-time event streams: functional reactive programming
Chapter 7: Task-based functional parallelism
Chapter 8: Task asynchronicity for the win
Chapter 9: Asynchronous functional programming in F#
Chapter 10: Functional combinators for fluent concurrent programming
Chapter 11: Applying reactive programming everywhere with agents
Chapter 12: Parallel workflow and agent programming with TPL Dataftlow
Part 3: Modern patterns of concurrent programming applied
Chapter 13: Recipes and design patterns for successful concurrent programming
Chapter 14: Building a scalable mobile app with concurrent functional programming
Appendix A: Functional programming
Appendix B:F# overview
Appendix C: Interoperability between an F# asynchronous workflow and. NET Task
Index


下载地址

Concurrency in .NET 9781617292996.zip