Scientific programming on Python

The book begins with the general concepts of programming, such as cycles and functions in the Python 3 nucleus, then the Numpy, Scipy and MatPlotlib libraries are considered for computational programming and visualization of data. The use of the Jupyter Notebooks virtual notebook is discussed to create multimedia jointly used documents for scientific analysis. A separate chapter is devoted to the analysis of data using the Pandas library. In the final part, more complex topics are presented, such as the accuracy of calculations using numbers with a floating point and ensuring the stability of algorithms.
The publication is addressed to students, scientists, and data specialists who need a strong basis for solving pressing problems using Python