Mark F. Russo – författare

A Volume in the Wiley-Interscience Series on Laboratory Automation. The complete, step-by-step guide to using Visual Basic(r) in a laboratory setting Visual Basic(r) is fast becoming the de facto laboratory programming language, yet existing books typically discuss applications that have nothing to do with science and engineering. This primer fills the gap in the field, showing professionals seeking to improve the productivity of their laboratories how to use Visual Basic(r) to automate laboratory processes. Automating Science and Engineering Laboratories with Visual Basic(r) helps laboratory professionals decide when and if to use Visual Basic(r) and how to combine it with the many computing technologies used in modern laboratories such as RS-232 port communications, TCP/IP networking, and event-driven control, to name a few. With an emphasis on getting readers programming immediately, the book provides clear guidelines to the appropriate programming techniques as well as custom-developed software tools. Readers will learn how to build applications to control laboratory instruments, collect and process experimental data, create interactive graphical applications, and more. Boasting many working examples with the complete source code and backward compatibility to previous versions of Visual Basic(r), Automating Science and Engineering Laboratories with Visual Basic(r) is an indispensable teaching tool for nonprogrammers and a useful reference for more experienced practitioners.

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.

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 automatically

Whether 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.