Learning Scientific Programming with Python

10 reviews for Learning Scientific Programming with Python

1. Rogelio Trujillo

   Rated 5 out of 5

   March 26, 2025

   A Harmonious Blend of Precision and Clarity

   A Harmonious Blend of Precision and Clarity"Learning Scientific Programming with Python" by Christian Hill is a testament to the enduring beauty of cl...More

   A Harmonious Blend of Precision and Clarity
   
   "Learning Scientific Programming with Python" by Christian Hill is a testament to the enduring beauty of clear, methodical instruction—a reminder that the best teaching honors the traditions of our craft. Hill’s work stands out by meticulously presenting Python’s essential elements, ensuring that every syntactical nuance is laid bare with a precision that leaves no room for doubt.
   
   The examples within the book resonate like well-practiced verses, each one illuminating the path from concept to comprehension. They are not merely exercises; they are stepping stones that guide the reader gently yet firmly into the vast landscape of scientific programming. It is this clarity that makes the learning process both accessible and deeply satisfying.
   
   While my heart has long been fond of the robust foundations laid in Summerfield’s "Programming in Python 3"—with its invaluable first chapter that distilled the very essence of programming—I found myself equally enchanted by Hill's distinctive approach. Much like the revered classics of the past, which have stood the test of time, this book honors tradition while embracing modern challenges with a fresh and invigorating perspective.
   
   For those who have journeyed through the "Python from scratch course" and appreciate the elegance of a well-structured exposition, Christian Hill’s book is a delightful discovery. It is a work that invites you to not only learn but to marvel at the timeless principles of programming that continue to inspire both seasoned practitioners and curious newcomers alike.
   
   In essence, "Learning Scientific Programming with Python" is more than a manual—it is a lyrical call to embrace the art of programming with a clear mind and a passionate heart.

   Helpful? 0 0
   EHM

   Rated 5 out of 5

   December 5, 2023

   Excellent resource and just what is needed

   Of the 'python for science' books out there, this one is very good. It covers enough of the language to be useful. For example any project of sufficie...More

   Of the 'python for science' books out there, this one is very good. It covers enough of the language to be useful. For example any project of sufficient complexity will use object oriented features of the code, and this book covers enough of that to be useful. It's not exhaustive on OOP but that's not the point of the book. Otherwise, the code examples and overviews of the python packages for science is thorough enough that one should be able to immediately start using those packages productively. I highly recommend this book.

   Helpful? 0 0
   Camoph28

   Rated 5 out of 5

   September 25, 2023

   A hidden gem

   I'm teaching a course in scientific computing with Python, following this book, and it is definitely a great reference on the subject. Highly recommen...More

   I'm teaching a course in scientific computing with Python, following this book, and it is definitely a great reference on the subject. Highly recommended.

   Helpful? 0 0
   Pauline Zinn

   Rated 5 out of 5

   August 27, 2022

   Extraordinary Book

   It’s received wisdom that if you want to learn a programming language you need to sit down and program in that language. Books and videos certainly h...More

   It’s received wisdom that if you want to learn a programming language you need to sit down and program in that language. Books and videos certainly have their place, but you learn best by doing. Christian Hill’s extraordinary book bridges that gap by providing (1) a thorough description of the Python language but by also providing (2) thought-provoking questions (with answers in the text) and (3) an eclectic array of “problems”, which are intriguing programming exercises drawn from the scientific literature. If you really want to learn scientific programming in Python do at least a couple of the many problems in each section of the book, those that appeal to your specific interests. The author must have quite the imagination to provide so many interesting challenges. And the bonus is that solutions are to be found on the authors online website. Five stars plus!

   Helpful? 0 0
   Marcelo Assafin

   Rated 5 out of 5

   August 18, 2022

   Ótimo livro

   Excelente livro. Aprendendo a fazer programação científica com Python de maneira muito segura e sólida. Dá ótima base, mesmo para quem já tem alguma e...More

   Excelente livro. Aprendendo a fazer programação científica com Python de maneira muito segura e sólida. Dá ótima base, mesmo para quem já tem alguma experiência.

   Helpful? 0 0
   Giovanni Finoto Caramori

   Rated 5 out of 5

   July 11, 2022

   Excelente aquisição

   O conteúdo á apresentado de forma didática, com exemplos e muitos exercícios aplicados!

   Helpful? 0 0
   Richard

   Rated 5 out of 5

   October 25, 2021

   Excellent book for experienced C, C++ and Fortran programmers

   If you are already comfortable with C, C++ or Fortran programming in a scientific or engineering environment, this is the book for you. For books of t...More

   If you are already comfortable with C, C++ or Fortran programming in a scientific or engineering environment, this is the book for you. For books of this genre, it's even a relatively decent read. as in, you can take a cup of coffee, sit in your easy chair, and read it, and find it reasonably interesting. The Python/NumPy/SciPy environment has some interesting and unusual features that you are not accustomed to, and some important differences from what you are accustomed to. The former are fun and interesting, and the latter are important. There is very little Python cultural hype (e.g., no "Knights that Say Ni!", etc., no dwelling on how to be Pythonic, etc.) which is refreshing. All in all, highly recommended - the book I was looking for.

   Helpful? 0 0
   Nate B.

   Rated 5 out of 5

   August 12, 2021

   Covers the Basics

   The book did a good job of building up base understanding of python and then tailoring for more academic needs.

   Helpful? 0 0
   SRIPATHY

   Rated 5 out of 5

   April 25, 2021

   GOOD BOOK FOR PYTHON APPLICATION FOR CENCE

   FAST DELIVERY. REASONABLE PRICE.

   Helpful? 0 0
   Eric P

   Rated 5 out of 5

   January 23, 2021

   A comprehensive course

   This is a very structured guide to learning Python for science, mathematics and engineering. As such it also covers well the add-on functionality of N...More

   This is a very structured guide to learning Python for science, mathematics and engineering. As such it also covers well the add-on functionality of Numpy, Scipy and Matplotlib. In installation it talks specifically of Windows and Mac systems and generally of Linux, though I am actually going through the book using a Raspberry Pi 4 and the built in Python IDE.
   The book is very well organised with a lot of exercises to reinforce the text and answers in the back. It is designed for learning and it fulfils that aim very well. It also shows the power of the language. I am a user of both MATLAB and SciLab and this book shows that Python can be a viable alternative. Bearing in mind that Python is free and supplied on a lot of platforms it makes it a worthwhile tool in the kit of students and practitioners in science and engineering and this book is an excellent guide to its application in these areas.
   This book does assume that the reader is mathematically literate. It is a textbook in the application of Python, not in learning mathematics, but perhaps it is time for some of the texts that use MATLAB to teach mathematical principles to be adapted to Python.
   All in all, I recommend this book, not just for people wishing to learn scientific Python out of curiosity, but also for those seeking to use it seriously in scientific programming and data analysis. It is an excellent guide to a powerful analytical tool.

   Helpful? 0 0