Python for Chemistry

Key Features
● Understand the core Python functions and algorithms for the computation of chemical parameters.
● Learn how to use Cheminformatics modules to process and analyze elemental data and molecular structures.
● Get familiar with the algorithms for numerical and symbolic computations.

Description
Python is a versatile and powerful computer language without a steep learning curve. It can be deployed to simulate various physicochemical parameters or to analyze complex molecular, bio-molecular, and crystalline structures.

The objective of this book is to give a gentle introduction to Python programming with relevant algorithms, iterations, and basic simulations from a chemist’s perspective. This book outlines the fundamentals of Python coding through the built-in functions, libraries, and modules as well as with a few selected external packages for physical/materials/inorganic/analytical/organic/ nuclear chemistry in terms of numerical, symbolic, structural, and graphical data analysis using the default, Integrated Development and Learning Environment. You will also learn about the Structural Elucidation of organic molecules and inorganic complexes with specific Cheminformatics modules. In addition to this, the book covers chemical data analysis with Numpy and also includes topics such as SymPy and Matplotlib for Symbolic calculations and Plotting.

By the end of the book, you will be able to use Python as a graphical tool or a calculator for numerical and symbolic computations in the interdisciplinary areas of chemistry.


Who this book is for
This book is for Chemists, Chemical Engineers, Material Scientists, Bio-chemists, Biotechnologists, and Physicists. Students of Chemistry, Chemical Engineering, Materials Chemistry, Biochemistry, Biotechnology, and Physics will find this book resourceful.

Table of Contents
1. Understanding Python Functions for Chemistry
2. Computations in Chemistry with NumPy
3. Interpolation, Physico-chemical Constants, and Units with SciPy
4. SymPy for Symbolic Computations in Chemistry
5. Interactive Plotting of Physico-chemical Data with Matplotlib
6. Introduction to Cheminformatics with RDKit
7. ChemFormula for Atomic and Molecular Data
8. Chemlib for Physico-chemical Parameters
9. ChemPy for Computations in Chemistry
10. Mendeleev Package For Atomic and Ionic Data
11. Computations of Parameters of Electrolytes with PyEQL
12. STK Module for Molecular Structures