Python is one of the most popular languages today. Relatively new
fields such as data science, AI, robotics, and data analytics, along with
traditional professions such as web development and scientific research,
are embracing Python. It’s increasingly important for programmers writing...

The presentation and interpretation of (non-relativistic) quantum mechanics is a very well-worked area of study; there have to be very good reasons for adding to the literature on this subject.

My reasons are (obviously) that I am far from satisfied with much of the published work and find difficulties with some points, in...

Guide to understanding basic and applied scientific information, for those who've had not formal training in biology. Includes more than 150 illustrations, a pronunciation guide, self-tests, and reviews. Softcover. DLC: Biology.

UNDERSTAND BIOLOGY -- WITHOUT DISSECTING ANYTHING!

A physicist's efforts to understand the enigma that is quantum mechanics.

Quantum mechanics is one of the glories of our age. The theory lies at the heart of modern society. Quantum mechanics is one of our most valuable forecasters—a “great predictor.” It has immeasurably altered our conception of the...

Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB^{® }Approach, Fourth Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors...

This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...

C++ by Example includes 'UnderC,' an open-source language interpreter developed by the author, which shows the result of each new programming technique instantly, allowing novices to experiment in a more dynamic learning environment. The book starts with the fundamentals of the language, including expressions, variables, functions, and...

Here’s an innovative shortcut to gaining a more intuitive understanding of both differential and integral calculus. In Calculus Demystified an experienced teacher and author of more than 30 books puts all the math background you need inside and uses practical examples,...

All over the world, democratic reforms have brought power to the people, but under conditions where the people have little opportunity to think about the power that they exercise. In this book, James Fishkin combines a new theory of democracy with actual practice and shows how an idea that harks back to ancient Athens can be used to revive...

While many computer science textbooks are confined to teaching programming code and languages, Algorithms and Data Structures: The Science of Computing takes a step back to introduce and explore algorithms -- the content of the code. Focusing on three core topics: design (the architecture of algorithms), theory (mathematical...

Unleash the power of Python for your data analysis projectswith For Dummies!

Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to...