Search Results - "data structure"
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Think Raku How to Think Like a Computer Scientist
Published 2017Table of Contents: “…Preface -- I Starting with the Basics -- 1 The way of the program -- 2 Variables, Expressions and Statements -- 3 Functions -- 4 Loops, Conditionals and Recursion -- 5 Fruitful Subroutines -- 6 Iteration -- 7 Strings -- 8 Case study: Word Play -- 9 Arrays and Lists -- 10 Hashes -- 11 Case study: Data Structure Selection -- II Moving Forward -- 12 Classes and Objects -- 13 Regexes and Grammar -- 14 Functional Programming in Raku -- 15 Some Final Advice --…”
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Introduction to Statistical Thinking
Published 2010Table of Contents: “…I Introduction to Statistics -- 1 Introduction -- 2 Sampling and Data Structures -- 3 Descriptive Statistics -- 4 Probability -- 5 Random Variables -- 6 The Normal Random Variable -- 7 The Sampling Distribution -- 8 Overview and Integration -- II Statistical Inference -- 9 Introduction to Statistical Inference -- 10 Point Estimation -- 11 Confidence Intervals -- 12 Testing Hypothesis -- 13 Comparing Two Samples -- 14 Linear Regression -- 15 A Bernoulli Response -- 16 Case Studies…”
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Programming Persistent Memory A Comprehensive Guide for Developers /
Published 2020Table of Contents: “…Chapter 1: Introduction to Persistent Memory Programming -- Chapter 2: Persistent Memory Architecture -- Chapter 3: Operating System Support for Persistent Memory -- Chapter 4: Fundamental Concepts of Persistent Memory Programming -- Chapter 5: Introducing the Persistent Memory Development Kit -- Chapter 6: libpmem: Low-Level Persistent Memory Support -- Chapter 7: libpmemobj - A Native Transactional Object Store -- Chapter 8: libpmemobj-cpp: The adaptable language C++ and Persistent Memory -- Chapter 9: pmemkv - A Persistent In-Memory Key-Value Store -- Chapter 10: Volatile Use of Persistent Memory -- Chapter 11: Designing Data Structures for Persistent Memory -- Chapter 12: Debugging Persistent Memory Applications -- Chapter 13: Enabling Persistence in a Real World Application -- Chapter 14: Concurrency and Persistent Memory -- Chapter 15: Profiling and Performance -- Chapter 16: PMDK Internals - Important Algorithms and Data Structures -- Chapter 17: Reliability, Availability and Serviceability -- Chapter 18: Remote Persistent Memory -- Chapter 19: Advanced Topics -- Appendix A: Installing NDCTL and DAXCTL on Linux -- Appendix B: Installing PMDK on Linux & Windows -- Appendix C: Installing IPMCTL on Linux and Windows -- Appendix D: Java for Persistent Memory -- Appendix E: The Future of Remote Persistent Memory Replocation.…”
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