Learning Scientific Programming with Python 2nd Edition by Christian Hill ISBN 9781108787468 1108787460

1 Introduction

1.1 About This Book

1.2 About Python

1.3 Installing Python

1.4 The Command Line

2 The Core Python Language I

2.1 The Python Shell

2.2 Numbers, Variables, Comparisons and Logic

2.3 Python Objects I: Strings

2.4 Python Objects II: Lists, Tuples and Loops

2.5 Control Flow

2.6 File Input/Output

2.7 Functions

3 Interlude: Simple Plots and Charts

3.1 Basic Plotting

3.2 Labels, Legends and Customization

3.3 More Advanced Plotting

4 The Core Python Language II

4.1 Errors and Exceptions

4.2 Python Objects III: Dictionaries and Sets

4.3 Pythonic Idioms: “Syntactic Sugar”

4.4 Operating-System Services

4.5 Modules and Packages

4.6 An Introduction to Object-Oriented Programming

5 IPython and Jupyter Notebook

5.1 IPython

5.2 Jupyter Notebook

6 NumPy

6.1 Basic Array Methods

6.2 Reading and Writing an Array to a File

6.3 Statistical Methods

6.4 Polynomials

6.5 Linear Algebra

6.6 Random Sampling

6.7 Discrete Fourier Transforms

7 Matplotlib

7.1 Line Plots and Scatter Plots

7.2 Plot Customization and Refinement

7.3 Bar Charts, Pie Charts and Polar Plots

7.4 Annotating Plots

7.5 Contour Plots and Heatmaps

7.6 Three-Dimensional Plots

7.7 Animation

8 SciPy

8.1 Physical Constants and Special Functions

8.2 Integration and Ordinary Differential Equations

8.3 Interpolation

8.4 Optimization, Data-Fitting and Root-Finding

9 Data Analysis with pandas

9.1 Introduction to pandas

9.2 Reading and Writing Series and DataFrames

9.3 More Advanced Indexing

9.4 Data Cleaning and Exploration

9.5 Data Grouping and Aggregation

9.6 Examples

10 General Scientific Programming

10.1 Floating-Point Arithmetic

10.2 Stability and Conditioning

10.3 Programming Techniques and Software Development

Appendix A Solutions

Appendix B Differences Between Python Versions 2 and 3

Appendix C SciPy’s odeint Ordinary Differential Equation Solver

Glossary

Index

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