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Computational Nuclear Engineering and Radiological Science Using Python

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more;

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Python for MATLAB Development

of computational problems in science, engineering, optimization, statistics, finance, and simulation.;

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Introduction to Python for Science and Engineering

Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;

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Introduction to Python for Science and Engineering

Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;

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Computational Intelligent Systems For Applied Research, Proceedings Of The 5th International Flins Conference (Flins 2002)

conferences and covers state-of-the-art research and development in computational intelligence for applied research in general and for nuclear science;

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Introduction to Computation and Programming Using Python, third edition

or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy;

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Practical Data Science with Python 3

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods;

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Practical Data Science with Python 3

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods;

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Computational Science and Engineering

computational science and engineering. FORTRAN, C and C++, MATLAB, PYTHON, etc. are widely used programming languages in this field. The applications;

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Foundations In Applied Nuclear Engineering Analysis

examples in nuclear and radiological engineering, and is thus a unique text for nuclear engineering students. A course using the book may range;

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Foundations In Applied Nuclear Engineering Analysis

examples in nuclear and radiological engineering, and is thus a unique text for nuclear engineering students. A course using the book may range;

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Nuclear Fuel Cycle Science and Engineering

The nuclear fuel cycle is characterised by the wide range of scientific disciplines and technologies it employs. The development of ever;

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Foundations in Applied Nuclear Engineering Analysis

in nuclear engineering. Applications and problem sets are directed toward problems in nuclear science. Software examples using Mathematica software;

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Introduction to Computer Science Using Python

Introduction to Computer Science Using Python: A Computational Problem-Solving Focus,recommended by Guido van Rossum, the creator of Python;

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Data Science And Knowledge Engineering For Sensing Decision Support - Proceedings Of The 13th International Flins Conference

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational;

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Introduction to Computational Models with Python

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python;

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Introduction to Computational Models with Python

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python;

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Bioinformatics Programming Using Python

Through many examples and exercises, this book helps simplify bioinformatics programming using Python. It's an ideal guide for biologists;

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Numerical Python

science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid;

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Nuclear Corrosion Modeling

maintentance and potential radiological health hazards. This book guides studies to predict and minimize corrosion, thus making nuclear power safer and;

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Advances in Electrical Engineering and Computational Science

Advances in Electrical Engineering and Computational Science contains sixty-one revised and extended research articles written by prominent;

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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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Python Data Science Handbook

provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data;

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Computational Science and Engineering

Computational Science and Engineering;

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Python Programming and Numerical Methods

of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new;

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Computational Nanotechnology Using Finite Difference Time Domain

newest and most popular computational nanotechnologies using the FDTD method, considering their primary benefits. It also predicts future;

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Computational Nanotechnology Using Finite Difference Time Domain

newest and most popular computational nanotechnologies using the FDTD method, considering their primary benefits. It also predicts future;

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