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A Guide to Modula-2

  • Kaare Christian

Part of the Texts and Monographs in Computer Science book series (MCS)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Moving to Modula-2

    1. Front Matter
      Pages 1-1
    2. Kaare Christian
      Pages 3-29
    3. Kaare Christian
      Pages 30-70
    4. Kaare Christian
      Pages 71-93
    5. Kaare Christian
      Pages 94-127
    6. Kaare Christian
      Pages 128-156
  3. Modules

    1. Front Matter
      Pages 157-158
    2. Kaare Christian
      Pages 159-177
    3. Kaare Christian
      Pages 178-189
    4. Kaare Christian
      Pages 190-203
    5. Kaare Christian
      Pages 204-215
    6. Kaare Christian
      Pages 216-231
  4. Advanced Data Types

    1. Front Matter
      Pages 233-233
    2. Kaare Christian
      Pages 235-249
    3. Kaare Christian
      Pages 250-263
    4. Kaare Christian
      Pages 264-288
    5. Kaare Christian
      Pages 289-305
    6. Kaare Christian
      Pages 306-317
  5. Systems Programming

    1. Front Matter
      Pages 319-320
    2. Kaare Christian
      Pages 321-344
    3. Kaare Christian
      Pages 345-356
    4. Kaare Christian
      Pages 357-366
    5. Kaare Christian
      Pages 367-384
  6. Back Matter
    Pages 385-436

About this book

Introduction

Modula-2 is a simple yet powerful programming language that is suitable for a wide variety of applications. It is based on Pascal, a successful programming language that was introduced in 1970 by Niklaus Wirth. During the 1970's Pascal became the most widely taught programming language and it gained acceptance in science and industry. In 1980 Dr. Wirth released the Modula-2 program­ ming language. Modula-2 is an evolution of Pascal. It improves on the successes of Pascal while adding the MODULE - a tool for ex­ pressing the relations between the major parts of programs. In ad­ dition Modula-2 contains low-level features for systems program­ ming and coroutines for concurrent programming. Programming languages are important because they are used to express ideas. Some programming languages are so limited that certain ideas can't be easily expressed. For example languages that lac k floating point arithmetic are inappropriate for scientific com­ putations. Languages such as Basic and Fortran that lack recur­ sion are unsuitable for text processing or systems programming. Sometimes a programming language is useable for a certain appli­ cation but it is far from ideal. A good example is the difficulty of writing large programs in pure Pascal. Pascal is a poor language for large jobs because it lacks facilities for partitioning a program viii Preface 6< ; ~~~~er 0\ Sheet Metal Tube /" 0 (to Affix Eraser to Shaft) ~ Hollow Wooden Shaft A Lead Core Figure 1. An exploded diagram. into separate pieces that can be developed independently.

Keywords

Factor Pascal Programming language A Sieve Strings programming language

Authors and affiliations

  • Kaare Christian
    • 1
  1. 1.Department of NeurobiologyThe Rockefeller UniversityNew YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-4892-7
  • Copyright Information Springer-Verlag New York 1986
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9349-1
  • Online ISBN 978-1-4612-4892-7
  • Series Print ISSN 0172-603X
  • Buy this book on publisher's site