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Numerical Methods in Engineering with Python

in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new edition;

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Chemical and Biomedical Engineering Calculations Using Python

Presents standard numerical approaches for solving common mathematical problems in engineering using Python. * Covers the most common;

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Numerical Python

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages;

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Numerical Methods in Physics with Python

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone;

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Numerical Methods in Physics with Python

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone;

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Learning NumPy Array

of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical;

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Practical Numerical and Scientific Computing with MATLAB (R) and Python

Practical Numerical and Scientific Computing with MATLAB (R) and Python concentrates on the practical aspects of numerical analysis and;

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Practical Numerical and Scientific Computing with MATLAB (R) and Python

Practical Numerical and Scientific Computing with MATLAB (R) and Python concentrates on the practical aspects of numerical analysis and;

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Python Programming and Numerical Methods

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to;

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A Student's Guide to Python for Physical Modeling

range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics;

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A Student's Guide to Python for Physical Modeling

range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics;

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Numerical Python in Astronomy and Astrophysics

This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the;

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Python for Probability, Statistics, and Machine Learning

figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the;

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Scientific Computing with Python 3

up and running with Python numerical computations * Explore numerical computing and mathematical libraries using Python 3.x code with SciPy;

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Python High Performance -

the performance of their application. Basic knowledge of Python is expected What You Will Learn * Write efficient numerical code with;

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Simulation with Python

Python and numerical computation to demonstrate the power of simulation Choose a paradigm to run a simulation Draw statistical insights from;

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Financial Modelling In Python

also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the;

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Applied Scientific Computing: With Python

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on;

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Advanced Numerical Techniques for Photonic Crystals

method, numerical code written in MATLAB (R) is presented. The codes are limited to 2D problems and can be easily translated in Python or Scilab;

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NumPy Beginner's Guide ()

you are a programmer, scientist, or engineer who has basic Python knowledge and would like to be able to do numerical computations with Python;

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Datenanalyse mit Python

: - die interaktive IPython-Shell als primäre Programmierumgebung - die Features von NumPy (Numerical Python) - die Datenanalyse-Tools der Pandas-Bibliothek;

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Python for Probability, Statistics, and Machine Learning

using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author;

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Python for Probability Statistics and Machine Learning

using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author;

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Primer On Scientific Programming With Python

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The;

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Essential Python for the Physicist

mathematical principles are discussed and the available Python tools for the solution are presented. A further chapter is dedicated to the numerical;

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Essential Python for the Physicist

mathematical principles are discussed and the available Python tools for the solution are presented. A further chapter is dedicated to the numerical;

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Introduction to Numerical Programming

emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and;

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