Springer, 2021. — 61 p. — (Springer essentials). — ISBN 978-3-658-33551-9.
Christoph Schafer 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.
Overview of the Programming Language Python
Installation of Python
Execution of a Python Program
The Basic Structure of a Python Program
Data Types, Variables, Lists, Strings, Dictionaries, and Operators
Conditional Statements and Loops
Functions
Structuring with Modules
Extensions for Scientists: NumPy, SciPy, Matplotlib, Pandas