Memorial Lectures Delivered Before The Chemical Society
Memorial Lectures Delivered Before The Chemical Society
Antidiabetic Drug Discovery from Natural Products
Antidiabetic Drug Discovery from Natural Products provides up-to-date and in-depth information, practical understanding, and guidance in a comprehensive, systematic and easy-to-understand manner to scientists, researchers, and graduate students on important and emerging biochemical topics related to current antidiabetic drug discovery research. This book analyzes and studies natural active substances and their medicinal chemistry in preventing and treating diabetes and its complications. It covers a wide range of critical issues to assist chemists in the discovery and development of safer, more affordable treatments, from identifying promising leads from medicinal plants to the extraction and synthesis of bioactive compounds. Following an introduction to bioactive chemical compounds from plants with antidiabetic effects, the book describes the discovery and extraction of antidiabetic drugs and antioxidants from natural sources. It also examines antidiabetic plants before delving deeper into the chemistry behind major medicinal substances and their derivatives like Mangiferin and Resveratrol, discussing both current and prospective uses.
Streamlining Your Research Laboratory with Python
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.