This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming.
The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling.
| Pages : | 164 pages |
| Size : | |
| Downloads: | 178 |
| Created: | 2020-08-29 |
| License: | CC BY-NC 4.0 and Open Access |
| Author(s): | Joakim Sundnes |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Introduction to Scientific Programming with Python
Download free course Biopython: Tutorial and Cookbook, pdf file on 360 pages by by Jeff Chang, Brad Chapman, Iddo Friedberg, Thomas Hamelryck, Michiel de Hoon, Peter Cock, Tiago Antao, Eric Talevich, Bartek Wilczy?ski.
This is the lecture notes for a course on Python and coding theory designed for students who have little or no programmig experience. You will learn some of the Python computer programming language and selected topics in coding theory.
This online version of the NLTK book is updated for Python 3 and NLTK 3 on 2015.
This is a free book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If all you know about computers is how to save text files, then this is the book for you. This book is written for the latest Python 3, even though Python
This book tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning.