William Neil – författare

This series of commentaries on the New English Bible is designed for use in schools and colleges, and for the minister and the layman. Each volume comments on one book, or part, of the Bible. In each the text is given in full. Sections of text and commentary alternate, so that the reader does not have to keep two books open, or turn from one part of the book to the other, or refer to a commentary in small type at the foot of the page. Great care has been taken to see that the commentary is suitable for the student and the layman: there is no Greek or Hebrew, and no strings of biblical references. The general editors all have experience of teaching or examining in school and working with adults. Commentaries on all the books of the Old Testament, New Testament and Apocrypha have been published, together with introductory volumes and books of illustrations to accompany each Testament.

Enables scientists and researchers to efficiently use one of the most popular programming languages in their day-to-day work Streamlining Your Research Laboratory with Python covers the Python programming language and its ecosystem of tools applied to tasks encountered by laboratory scientists and technicians working in the life sciences. After opening with the basics of Python, the chapters move through working with and analyzing data, generating reports, and automating the lab environment. The book includes example processes within chapters and code listings on nearly every page along with schematics and plots that can clearly illustrate Python at work in the lab. The book also explores some real-world examples of Python’s application in research settings, demonstrating its potential to streamline processes, improve productivity, and foster innovation. Streamlining Your Research Laboratory with Python includes information on: Language basics including the interactive console, data types, variables and literals, strings, and expressions using operatorsCustom functions and exceptions such as arguments and parameters, names and scope, and decoratorsConditional and repeated execution as methods to control the flow of a programTools such as JupyterLab, Matplotlib, NumPy, pandas DataFrame, and SciPyReport generation in Microsoft Word and PowerPoint, PDF report generation, and serving results through HTTP and email automaticallyWhether you are a biologist analyzing genetic data, a chemist scouting synthesis routes, an engineer optimizing machine parameters, or a social scientist studying human behavior, Streamlining Your Research Laboratory with Python serves as a logical and practical guide to add Python to your research toolkit.