Streamlining Your Research Laboratory with Python - by Mark F Russo & William Neil (Hardcover)

About the Book

"This book introduces Python as a powerful tool for researchers in scientific laboratories. It highlights Python's simplicity, versatility, and extensive libraries, making it ideal for automating tasks, processing data, conducting analysis, and visualizing results. Geared toward both novice and experienced programmers, the book emphasizes how Python can streamline laboratory operations, improve productivity, and enhance scientific research. It covers key features of Python, its applications in automation, data collection, analysis, and scientific computing, and provides real-world examples of its use in various research fields. With downloadable code examples and a focus on practical solutions to everyday research challenges, the book is a valuable resource for scientists looking to harness Python for their work."--

From the Back Cover

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 operators
• Custom functions and exceptions such as arguments and parameters, names and scope, and decorators
• Conditional and repeated execution as methods to control the flow of a program
• Tools such as JupyterLab, Matplotlib, NumPy, pandas DataFrame, and SciPy
• Report 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.

About the Author

Mark F. Russo, PhD is currently on the faculty in the Department of Computer Science at The College of New Jersey. Previously, he had a multi-decade professional career in biotech and pharma with a focus on scientific computing, automation, and scientific data.

William Neil is currently at Bristol Myers Squibb and has been working in the pharmaceutical industry since 1995.