... the authors have rendered an extremely valuable service to the soil physics community with the publication of this nicely written and appealingly presented text, which I wholeheartedly recommend to soil physics students of all ages ... great book. (Philippe C. Baveye, Vadose Zone Journal)
The combination of theory and computer code make this a unique text and reference book for experienced scientists and students alike. (Markus Flury, Professor of Soil Physics and Vadose Zone Hydrology, Washington State University, USA)
Soil Physics with Python puts a wealth of knowledge about the quantitative functioning of a key environmental system, soils, into the reader's hand. This knowledge is readily operational through the provided code for the widely used open source language Python. The solutions cover a range of important processes, including the transfer of water, solutes, heat, and gases within soils as well as the soil-atmosphere coupling. Maybe most importantly, they entice the reader to expand and adapt the provided solutions and thereby capacitate him or her to implement and independently explore concepts of the still challenging soil physical processes. (Kurt Roth, Institute of Environmental Physics, Heidelberg University, Germany)
...Overall, I believe that the authors have rendered an extremely valuable service to the soil physics community with the publication of this nicely written and appealingly presented text, which I wholeheartedly recommend to soil physics students of all ages. I will definitely not hesitate to use it as a textbook in my own courses. If this great book were adopted widely, it would help train a new generation of soil physicists armed with a very solid understanding of what it really means to use computers to describe soil physical processes, and who would not be at the mercy of commercial software developers to satisfy their computational needs. At this stage, soil physics desperately needs such skilled people to move forward. (Professor Philippe Baveye, AgroParisTech, Paris)
solving, not deriving, differential equations for transport. Using numerical procedures to solve differential equations allows the solution of quite difficult problems with fairly simple mathematical tools. Numerical methods convert differential into algebraic equations, which can be solved using
conventional methods of linear algebra. Each chapter introduces a soil physics concept, and proceeds to develop computer programs to solve the equations and illustrate the points made in the discussion.
Problems at the end of each chapter help the reader practise using the concepts introduced. The text is suitable for advanced undergraduates, graduates and researchers of soil physics. It employs an open source philosophy where computer code is presented, explained and discussed, and provides the reader with a full understanding of the solutions. Once mastered, the code can be adapted and expanded for the user's own models, fostering further developments. The Python tools provide a simple
syntax, Object Oriented Programming techniques, powerful mathematical and numerical tools, and a user friendly environment.