About Scientific Computing within Python and Jupyter Notebook

Abstract

Summary Jupyter Notebook is a web-based application that allows you to write and comment on Python code interactively. This is a valuable mean to experiment, to do research, and to share your results with others. Increasingly, many researchers use this computing environment in their researches. In a brief second form highlights the key reasons for the growing popularity of the Python programming language and project Jupyter. According to the company TIOBE, which collects monthly statistics of search queries and, based on the data obtained, compiles its own visualized ratings of programming language, the Python ranks 3rd grade in popularity among programming languages. He was chosen as the language of the year in 2007, 2010 and 2018. Considered aspects of installing programs, libraries and packages in the Windows operating system. It is recommended to download and install libraries from the whl-file repository on the webpage by Christoph Gohlke Laboratory for Fluor escence Dynamics University of California. Demonstrated simplicity and efficiency of scientific computing in Jupyter Notebook. In particular, it is shown that the code for calculating the matrix size 5000x5000 takes only a few lines.