A Primer on Scientific Programming with Python

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言語　English
商品番号：9783642549595
発売日　2014年8月2日
出版社：Springer Berlin Heidelberg

出版社： Springer
ファイル形式　EPUB2
サイズ　10.41 MB
ダウンロードオプション:EPUB2 (Adobe DRM)

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A Primer on Scientific Programming with Python

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A Primer on Scientific Programming with Python

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A Primer on Scientific Programming with Python

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シリーズの内容

Finite Difference Computing with Exponential Decay Models

Introduction to Numerical Methods for Variational Problems

Finite Difference Computing with PDEs

A Primer on Scientific Programming with Python

関連書籍

Algorithms

The Art of R Programming

Structured Parallel Programming

Mathematica Cookbook

Programming Computer Vision with Python

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Learning SciPy for Numerical and Scientific Computing Second Edition

GNU Octave Beginner's Guide

Programming Problems: Advanced Algorithms

Doing Math with Python

A First Course in Statistical Programming with R

Introduction to Programming in Python

Object-Oriented Computation in C++ and Java

Mastering Algorithms with Perl

Concepts in Programming Languages

Scilab: from Theory to Practice - I. Fundamentals

Learning Scientific Programming with Python

Applying and Extending Oracle Spatial

A First Course in Scientific Computing

Essentials of Programming in Mathematica®

Essential MATLAB for Engineers and Scientists

Introduction to Compiler Design

Python Machine Learning, Second Edition

Algorithms, Part II

Scientific Computing with Python 3

Python for Scientists

Matlab

Numerical Python

Machine Learning for the Web

Seamless R and C++ Integration with Rcpp

Software Abstractions: Logic, Language, and Analysis

Big Data Integration Theory

Scientific Programming: C-language, Algorithms And Models In Science

Lectures on Matrix Field Theory

Mapping and Visualization with SuperCollider

Logic-Based Program Synthesis and Transformation

Translational Recurrences

Haskell Data Analysis Cookbook

Start Concurrent

Descriptive Set Theoretic Methods in Automata Theory

Scalable Uncertainty Management

FORTRAN 90 for Scientists and Engineers

Programming with Mathematica®

Descriptional Complexity of Formal Systems

Descriptional Complexity of Formal Systems

Python Data Analysis, Second Edition

Mathematics of Program Construction

Java Data Analysis

Constraint Theory

Parallel Processing and Applied Mathematics

Introduction to Modern Fortran for the Earth System Sciences

Parallelism in Matrix Computations

Formal Grammar

Higher-Order Perl

Supercomputing

Learning and Intelligent Optimization

Declarative Programming and Knowledge Management

Building Software for Simulation

Introduction to MATLAB for Engineers and Scientists

Fundamentals of Computation Theory

Learning NumPy Array

Computer Algebra in Scientific Computing

Essentials of Constraint Programming

Theory and Applications of Models of Computation

Pascal for Students (including Turbo Pascal)

Machine Learning Projects for .NET Developers

Theory and Applications of Models of Computation