Computer science glossary

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.

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The handbook is written for mature readers with a great deal of rigorous experience with either doing scientific research or writing scientific software. However no specific background in computer science, statistics, or biology is required to understand most of the chapters. In order to accommodate the readers who wish to become professional computational biologists in the future we also provide appendices that contain educationally sound glossaries of terms and descriptions of major sequence analysis algorithms.

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