Python for computational science

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  • (bq) part 1 book "python for computational science and engineering" has contents: introduction, a powerful calculator, data types and data structures, introspection, input and output, functions and modules, control flow,... and other contents.

    pdf90p bautroibinhyen18 21-02-2017 32 6   Download

  • (bq) part 2 book "python for computational science and engineering" has contents: from matlab to python, python shells, symbolic computation, numerical computation, numerical python, visualising data, numerical methods using python, where to go from here.

    pdf77p bautroibinhyen18 21-02-2017 42 5   Download

  • The primary purpose of this book is to help scientists and engineers working intensively with computers to become more productive, have more fun, and increase the reliability of their investigations. Scripting in the Python programming language can be a key tool for reaching these goals [27,29]. The term scripting means different things to different people. By scripting I mean developing programs of an administering nature, mostly to organize your work, using languages where the abstraction level is higher and programming is more convenient than in Fortran, C, C++, or Java.

    pdf747p ringphone 06-05-2013 74 24   Download

  • part 1 book “computing with python an introduction to python for science and engineering” has contents: introduction, getting started, variables and basic types, container types, linear algebra - arrays, advanced array concepts, plotting, functions.

    pdf124p tieu_vu13 06-08-2018 47 12   Download

  • part 2 book “computing with python an introduction to python for science and engineering” has contents: functions, classes, iterating, error handling, namespaces, scopes and modules, input and output, testing, comprehensive examples.

    pdf99p tieu_vu13 06-08-2018 45 12   Download

  • The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable expressive power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python is also quite similar to Matlab and a good language for doing mathematical computing. It is easy to combine Python with compiled languages, like Fortran, C, and C++, which are widely used languages for scientific computations.

    pdf0p hotmoingay3 09-01-2013 48 3   Download



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