Russo M. Streamlining Your Research Laboratory with Python 2025
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Russo M. Streamlining Your Research Laboratory with Python 2025
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Total size: 7.14 MB
Added: 3 weeks ago (2025-07-09 06:08:01)
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Info Hash: E96443FC2E6E9787F0F7EBD55DB3E88FED849330
Last updated: 58 minutes ago (2025-07-31 11:53:54)
Description:
Textbook in PDF format
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