




    Scientific Computing with Python 3
Key Features

Your ultimate resource for getting up and running with Python numerical computations

Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules

A handson guide to implementing mathematics with Python, with complete...


  Introduction to Scientific Computing: A Matrix Vector Approach Using MATLAB
This book presents a unique approach for one semester numerical methods and numerical analysis courses. Well organized but flexible, the text is brief and clear enough for introductory numerical analysis students to "get their feet wet," yet comprehensive enough in its treatment of problems and applications for higherlevel students to...   Graduate Mathematical Physics, With MATHEMATICA Supplements
This uptodate textbook on mathematical methods of physics is designed for a onesemester graduate or twosemester advanced undergraduate course. The formal methods are supplemented by applications that use MATHEMATICA to perform both symbolic and numerical calculations.
The book is written by a physicist lecturer who knows the... 

Introduction to Chemical Engineering Analysis Using Mathematica
This book provides an introduction to chemical engineering analysis which reviews the processes and designs used to manufacture, use, and dispose of chemical productsand to Mathematica, one of the most powerful mathematical software tools available for symbolic, numerical, and graphical computing. Analysis and computation are explained...     Seamless R and C++ Integration with Rcpp (Use R!)
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and highperformance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox.  Michael... 


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