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Bibliografická citace

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0 (hodnocen0 x )
BK
Updated edition
Princeton ; Oxford : Princeton University Press, 2018
xiii, 154 stran : ilustrace ; 26 cm

objednat
ISBN 978-0-691-18057-1 (brožováno)
Obsahuje bibliografii na stranách 147-148, bibliografické odkazy a rejstřík
001461767
Contents // Let’s Go // Getting Started with Python // ? Algorithms and algorithmic thinking 1 // 1.1.1 Algorithmic thinking 1 • // 1.1.2 States 2 // 1.1.3 What does a = a + 1 mean? 3 // 1.1.4 Symbolic versus numerical 4 // 1.2 Launch Python 4 // 1.2.1 IPython console 5 // 1.2.2 Error messages 9 // 1.2.3 Sources of help 9 // 1.2.4 Good practice: Keep a log 11 // 1.3 Python modules 11 // 1.3.1 import 11 // 1.3.2 from . . . import 12 // 1.3.3 NumPy and PyPlot 12 // 1.4 Python expressions 13 // 1.4.1 Numbers 13 // 1.4.2 Arithmetic operations and predefined functions 13 // 1.4.3 Good practice: Variable names 15 // 1.4.4 More about functions 15 // Organizing Data // 2.1 Objects and their methods 17 // 2.2 Lists, tuples, and arrays 19 // 2.2.1 Creating a list or tuple 19 // 2.2.2 NumPy arrays 19 // 2.2.3 Filling an array with values 21 // 2.2.4 Concatenation of arrays 22 // 2.2.5 Accessing array elements 23 // 2.2.6 Arrays and assignments 24 // 2.2.7 Slicing 24 // 2.2.8 Flattening an array 26 // xiii // 1 // 17 // VII // 2.3 // 2.2.9 Reshaping an array 26 // 2.2.10 Lists and arrays as indices 26 Strings 27 // 2.3.1 Formatting strings with the format () method 29 // 2.3.2 [3|] Formatting strings with % 30 // Structure and Control // 3.1 Loops 31 // 3.1.1 for loops 31 // 3.1.2 while loops 33 // 3.1.3 Very long loops 33 // 3.1.4 Infinite loops 33 // 3.2 Array operations 34 // 3.2.1 Vectorizing math 34 // 3.2.2 Matrix math 36 // 3.2.3 Reducing an array 36 // 3.3 Scripts 37 // 3.3.1 The
Editor 37 // 3.3.2 [?i] Other editors 38 // 3.3.3 First steps to debugging 38 // 3.3.4 Good practice: Commenting 40 // 3.3.5 Good practice: Using named parameters 43 // 3.3.6 Good practice: Units 44 // 3.4 Contingent behavior: Branching 44 // 3.4.1 The if statement 45 // 3.4.2 Testing equality of floats 46 // 3.5 Nesting 47 // Data In, Results Out // 4.1 Importing data 48 // 4.1.1 Obtaining data 49 // 4.1.2 Bringing data into Python 49 // 4.2 Exporting data 52 // 4.2.1 Scripts 52 // 4.2.2 Data files 52 // 4.3 Visualizing data 54 // 4.3.1 The plot command and its relatives 55 // 4.3.2 Manipulate and embellish 57 // 4.3.3 [Ž5] More about figures and their axes 59 // 4.3.4 [2§] Error bars 60 // 4.3.5 3D graphs 60 // 4.3.6 Multiple plots 61 // 4.3.7 Subplots 62 // 4.3.8 Saving figures 62 // 4 3.9 ? Using figures in other applications 63 // IX // First Computer Lab // 5.1 HIV example 64 // 5.1.1 Explore the model 64 // 5.1.2 Fit experimental data 65 // 5.2 Bacterial example 66 // 5.2.1 Explore the model 66 // 5.2.2 Fit experimental data 66 // 64 // More Python Constructions // 0.1 Writing your own functions 68 // 6.1.1 Defining functions in Python 69 // 6.1.2 Updating functions 71 // 6.1.3 Arguments, keywords, and defaults 71 // 6.1.4 Return values 72 // 6.1.5 Functional programming 73 // 6.2 Random numbers and simulation 74 // 6.2.1 Simulating coin flips 74 // 6.2.2 Generating trajectories 75 // 6.3 Histograms and bar graphs 76 // 6.3.1 Creating histograms 76 // 6.3.2 Finer control
77 // 6.4 Contour plots and surfaces 77 // 6.4.1 Generating a grid of points 78 // 6.4.2 Contour plots 78 // 6.4.3 Surface plots 79 // 6.5 Numerical solution of nonlinear equations 79 // 6.5.1 General real functions 80 // 6.5.2 Complex roots of polynomials 81 // 6.6 Solving systems of linear equations 81 // 6.7 Numerical integration 82 // 6.7.1 Integrating a predefined function 82 // 6.7.2 Integrating your own function 83 // 6.7.3 Oscillatory integrands 84 // 6.7.4 [If] Parameter dependence 84 // 6.8 Numerical solution of differential equations 84 // 6.8.1 Reformulating the problem 85 // 6.8.2 Solving an ODE 86 // 6.8.3 [ig Parameter dependence 87 // 6.9 Vector fields and streamlines 88 // 6.9.1 Vector fields 88 // 6.9.2 Streamlines 89 // 68 // x // Second Computer Lab // 7.1 Generating and plotting trajectories 91 // 7.2 Plotting the displacement distribution 91 // 7.3 Rare events 93 // 7.3.1 The Poisson distribution 93 // 7.3.2 Waiting times 94 // Still More Techniques // 8.1 Image processing 96 // 8.1.1 Images as NumPy arrays 96 // 8.1.2 Saving and displaying images 97 // 8.1.3 Manipulating images 97 // 8.2 Displaying Data as an Image 98 // 8.3 Animation 99 // 8.3.1 Creating animations 99 // 8.3.2 Saving animations 100 HTML movies 100 // \? Using an encoder 102 // 8.4 Analytic calculations 103 // 8.4.1 The SymPy library 103 // 8.4.2 Wolfram Alpha 104 // Third Computer Lab // 9.1 Convolution 106 // 9.1.1 Python tools for image processing // 9.1.2 Averaging 108 // 9.1.3 Smoothing
with a Gaussian 108 // 9.2 Denoising an image 109 // 9.3 Emphasizing features 109 // Get Going // Installing Python // A.l Install Python and Spyder 113 A. 1.1 Graphical installation 114 A. 1.2 Command line installation 115 A.2 Setting up Spyder 116 // A. 2.1 Working directory 116 A.2.2 Interactive graphics 117 A.2.3 Script template 117 A.2.4 Restart 118 A.3 Keeping up to date 118 A.4 Installing FFmpeg 118 // 106 // 107 // 111 // 113 // xi // ? 5 Installing ImageMagick 119 // Jupyter Notebooks // B.l Getting Started 120 // ?. 1.1 Launch Jupyter Notebooks 120 // B.l.2 Open a Notebook 121 // B.1.3 Multiple Notebooks 121 // B.l.4 Quitting Jupyter 122 // B.1.5 ? Setting the Default Directory 123 // B.2 Cells 123 // B.2.1 Code cells 123 // B.2.2 Graphics 124 // B.2.3 Markdown cells 124 // B.2.4 Edit mode and command mode 125 // B.3 Sharing 125 // B.4 More details 125 // B. 5 Pros and Cons 125 // Errors and Error Messages // C. l Python errors in general 127 // C. 2 Some common errors 128 // Python 2 versus Python 3 // D. l Division 131 // D.2 Print command 131 // D.3 User input 132 // D. 4 More assistance 133 // Under the Hood // E. l Assignment statements 134 // E.2 Memory management 135 // E.3 Functions 135 // E.4 Scope 137 // E.4.1 Name collisions 138 // E.4.2 Variables passed as arguments 139 // E.5 Summary 140 // Answers to "Your Turn" Questions 141 // Acknowledgments 145 // References 147 // 127 // 131 // 134 // Index // 149

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