Learning scientific programming with Python
Christian Hill
Sold by Untje.com, Roeselare, Belgium
AbeBooks Seller since March 2, 2020
Used - Soft cover
Condition: Used - Very good
Ships from Belgium to U.S.A.
Quantity: 1 available
Add to basketSold by Untje.com, Roeselare, Belgium
AbeBooks Seller since March 2, 2020
Condition: Used - Very good
Quantity: 1 available
Add to basketEnglish Learning Scientific Programming with Python. Second Edition. Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. CONTENTS Acknowledgments Code Listings 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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