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Practical Concurrent Haskell

Overview of attention for book
Cover of 'Practical Concurrent Haskell'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Programming with Haskell
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    Chapter 3 Parallelism and Concurrency with Haskell
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    Chapter 4 Strategies Used in the Evaluation Process
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    Chapter 5 Exceptions
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    Chapter 6 Cancellation
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    Chapter 7 Transactional Memory Case Studies
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    Chapter 8 Debugging Techniques Used in Big Data
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    Chapter 9 Haskell in the Cloud
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    Chapter 10 Haskell in Big Data
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    Chapter 11 Concurrency Design Patterns
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    Chapter 12 Large-Scale Design in Haskell
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    Chapter 13 Designing a Shared Memory Approach for Hadoop Streaming Performance
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    Chapter 14 Interactive Debugger for Development and Portability Applications Based on Big Data
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    Chapter 15 Iterative Data Processing on Big Data
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    Chapter 16 MapReduce
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    Chapter 17 Big Data and Large Clusters
Attention for Chapter 3: Parallelism and Concurrency with Haskell
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