rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Primer on Scientific Programming with Python
  name:
    name part: Langtangen, Hans Petter.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    edition: 3rd ed. 2012.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXII, 798 p. 79 illus., 30 illus. in color. online resource.
  abstract: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. .
  table of contents: Preface -- Computing with Formulas -- Loops and Lists -- Functions and Branching -- User Input and Error Handling -- Array Computing and Curve Plotting -- Dictionaries and Strings -- Introduction to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming -- Sequences and Difference Equations -- Introduction to Discrete Calculus -- Introduction to Differential Equations -- A Complete Differential Equation Project -- Programming of Differential Equations -- Debugging -- Migrating Python to Compiled Code -- Technical Topics -- Bibliography -- Index.
  note: by Hans Petter Langtangen.
  subject:
    topic: Mathematics
  subject:
    topic: Software engineering
  subject:
    topic: Computer programming
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Computer mathematics
  subject:
    topic: Physics
  subject:
    topic: Mathematics
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Programming Techniques
  subject:
    topic: Software Engineering/Programming and Operating Systems
  subject:
    topic: Mathematics of Computing
  subject:
    topic: Numerical and Computational Physics
  classification: QA71-90
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Texts in Computational Science and Engineering, 6
  identifier: 9783642302930
  identifier: http://dx.doi.org/10.1007/978-3-642-30293-0
  record info:
    record creation date: 120703
    record change date: 20151125021434.0
    record identifier: 978-3-642-30293-0