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Название: Streamlining Your Research Laboratory with Python
Автор: Mark F. Russo, William Neil
Издательство: Wiley
Год: 2025
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

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.

Python’s appeal lies in the fact that it is at once both accessible to novice programmers and sufficiently powerful for experienced programmers. It boasts a straightforward syntax that minimizes the learning curve, enabling researchers to quickly grasp the essentials of programming and apply them to their specific scientific endeavors. Furthermore, its open-source nature ensures that a vibrant community continuously enhances and extends its capabilities, offering an ever-evolving set of tools tailored to the needs of a broad and diverse community.

We do not assume that the reader has prior knowledge of Python programming. Early chapters of this book provide a thorough introduction to the aspects of Python programming that are critical to its application by researchers, especially in a research laboratory setting. That said, we do not intend to cover Python programming in its entirety. Our focus is on helping researchers streamline their laboratory operations, including experimental data collection, analysis, and reporting.

We survey the broad variety of ways in which Python may be used in a research laboratory. We delve into the various aspects of Python that make it an ideal choice for scientists and researchers. We examine its key features, its role in automation, data collection, data analysis, visualization, and scientific computing, and how it can be integrated seamlessly into laboratory workflows. Additionally, we explore some real-world examples of Python’s application in research settings, demonstrating its potential to streamline processes, improve productivity, and foster innovation.

Throughout the book, we develop numerous Python programs to solve real practical problems faced by research scientists. All source code may be downloaded from the book’s GitHub repository.

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.

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