learning scientific programming python von christian hill (24 Ergebnisse)

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

paperback. Zustand: Very Good.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Originalbroschur. 25 cm. Zustand: Wie neu. VI,452 pages. Index In EXCELLENT shape. ( We offer a lot of books on PHYSICS and MATHEMATICS on stock in EXCELLENT shape). Am unteren Rand der letzten INDEX-Seite winziger privater Vorbesitzerstempel. - very tiny private previous owner's stamp in the lower margin of the last INDEX page. Sprache: Englisch Gewicht in Gramm: 1005.

Zustand: New. In.

Zustand: New. pp. 550.

Zustand: New. 2020. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. Learn to master basic Python programming tasks from scratch with real-life, scientifically-relevant examples and solutions drawn from science and engineering. This fast-paced introduction moves from the basics to advanced concepts in one complete volume, en.

Paperback. Zustand: Brand New. 2nd edition. 557 pages. 9.25x6.50x1.00 inches. In Stock.

Paperback. Zustand: Very Good. 2. English 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.

Taschenbuch. Zustand: Neu. Neuware -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. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Not Elektronisches Buch to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 557 pp. Englisch.

Taschenbuch. Zustand: Neu. Learning Scientific Programming with Python | Christian Hill | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Cambridge University Pr. | EAN 9781108745918 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Zustand: New. pp. 482.

Taschenbuch. Zustand: Neu. Neuware - 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. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Not Elektronisches Buch to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

Zustand: New. In.

Zustand: New. Learn to master basic programming tasks from scratch with real-life scientific examples in this complete introduction to Python. Num Pages: 462 pages, 93 b/w illus. 52 tables 150 exercises. BIC Classification: PDN; UMW. Category: (U) Tertiary Education (US: College). Dimension: 255 x 181 x 25. Weight in Grams: 954. . 2016. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware -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. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Not Elektronisches Buch to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming. 557 pp. Englisch.

Hardcover. Zustand: Brand New. 482 pages. 9.00x7.00x1.00 inches. In Stock.

Paperback. Zustand: Brand New. 1st edition. 457 pages. 9.00x7.00x1.00 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython not Elektronisches Buch to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming.