Quickstart Python (eBook, PDF)
An Introduction to Programming for STEM Students
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Christoph Schäfer introduces the great world of programming with Python and provides a quick introduction to independent script development. He points out how the programming language Python has established itself in recent years alongside MATLAB and R as a standard at scientific workplaces in research and development, and shows that the great popularity of Python is based on its easy extensibility: It is very easy to use modules from other developers in your own scripts and programs. In particular, the author presents the modules NumPy, SciPy and Matplotlib, which offer scientists and engine...
Christoph Schäfer introduces the great world of programming with Python and provides a quick introduction to independent script development. He points out how the programming language Python has established itself in recent years alongside MATLAB and R as a standard at scientific workplaces in research and development, and shows that the great popularity of Python is based on its easy extensibility: It is very easy to use modules from other developers in your own scripts and programs. In particular, the author presents the modules NumPy, SciPy and Matplotlib, which offer scientists and engineers a perfect development environment for scientific and technical computing, for applications in physics, chemistry, biology and computer science.Python is also used in the latest applications in the highly topical fields of Big Data Science and Machine Learning
This Springer essential is a translation of the original German 1st edition essentials, SchnellstartPython by Christoph Schäfer, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
The content
· Installation of Python and basic structure of a Python program
· Data types, variables, lists, strings, dictionaries, operators and functions
· Structuring with conditional statements and modules
· Extensions for scientists: NumPy, SciPy, Matplotlib, pandas
The target groups
· Students and lecturers of STEM subjects, especially physics
· Users in practice
The authorDr. Christoph Schäfer teaches and conducts research in the Computational Physics Department at the Institute of Astronomy and Astrophysics at the Eberhard Karls University of Tübingen.
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