Learning scientific programming with python 2nd edition

Learning Scientific Programming with Python, 2nd 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. 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 Notebooks 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.

1. Disable the AdBlock plugin. Otherwise, you may not get any links.

4. Lead to download server to download.

Источник

Unlocking potential with the best learning and research solutions

• Anthropology
• Archaeology
• Arts, theatre and culture
• Chemistry
• Classical studies
• Computer science
• Earth and environmental science
• Economics
• Education
• Engineering

• General science
• Geography
• History
• Languages and linguistics
• Law
• Life science
• Literature
• Management
• Mathematics
• Medicine

• Music
• Philosophy
• Physics and astronomy
• Politics and international relations
• Psychology
• Religion
• Sociology
• Statistics and probability
• Social science research methods

• Browse all subjects

Look Inside

Learning Scientific Programming with Python

• Author: Christian Hill , International Atomic Energy Agency

• Date Published: November 2020
• availability: Available
• format: Paperback
• isbn: 9781108745918

Paperback

Other available formats:
eBook

Looking for an inspection copy?

This title is not currently available on inspection

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 Notebooks 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.

• A broad introduction to Python programming in the sciences
• No previous coding experience needed – a chapter on general concepts included
• Accompanying website provides resources for the examples and exercises

Customer reviews

25th Apr 2021 by Ruhinda83

I think this is an interesting work to the development of python programming skills

Log in to review

Review was not posted due to profanity

, create a review

Product details

• Edition: 2nd Edition
• Date Published: November 2020
• format: Paperback
• isbn: 9781108745918

• length: 568 pages
• dimensions: 243 x 169 x 27 mm
• weight: 1.06kg
• availability: Available

Table of Contents

Acknowledgments
1. Introduction
2. The core Python language I
3. Interlude: simple plots and charts
4. The core Python language II
5. IPython and Jupyter Notebook
6. NumPy
7. Matplotlib
8. SciPy
9. Data analysis with pandas
10. General scientific programming
Appendix A. Solutions
Appendix B. Differences between Python versions 2 and 3
Appendix C. SciPy’s odeint ordinary differential equation solver
Glossary
Index.

Look Inside

Resources for

Learning Scientific Programming with Python

Christian Hill

General Resources

Lecturer Resources

Find resources associated with this title

This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

If you are having problems accessing these resources please contact lecturers@cambridge.org.

Источник

Unlocking potential with the best learning and research solutions

• Anthropology
• Archaeology
• Arts, theatre and culture
• Chemistry
• Classical studies
• Computer science
• Earth and environmental science
• Economics
• Education
• Engineering

• General science
• Geography
• History
• Languages and linguistics
• Law
• Life science
• Literature
• Management
• Mathematics
• Medicine

• Music
• Philosophy
• Physics and astronomy
• Politics and international relations
• Psychology
• Religion
• Sociology
• Statistics and probability
• Social science research methods

• Browse all subjects

Look Inside

Learning Scientific Programming with Python

• Author: Christian Hill , International Atomic Energy Agency

• Date Published: November 2020
• availability: Available
• format: Paperback
• isbn: 9781108745918

Paperback

Other available formats:
eBook

Looking for an inspection copy?

This title is not currently available on inspection

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 Notebooks 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.

• A broad introduction to Python programming in the sciences
• No previous coding experience needed – a chapter on general concepts included
• Accompanying website provides resources for the examples and exercises

Customer reviews

25th Apr 2021 by Ruhinda83

I think this is an interesting work to the development of python programming skills

Log in to review

Review was not posted due to profanity

, create a review

Product details

• Edition: 2nd Edition
• Date Published: November 2020
• format: Paperback
• isbn: 9781108745918

• length: 568 pages
• dimensions: 243 x 169 x 27 mm
• weight: 1.06kg
• availability: Available

Table of Contents

Acknowledgments
1. Introduction
2. The core Python language I
3. Interlude: simple plots and charts
4. The core Python language II
5. IPython and Jupyter Notebook
6. NumPy
7. Matplotlib
8. SciPy
9. Data analysis with pandas
10. General scientific programming
Appendix A. Solutions
Appendix B. Differences between Python versions 2 and 3
Appendix C. SciPy’s odeint ordinary differential equation solver
Glossary
Index.

Look Inside

Resources for

Learning Scientific Programming with Python

Christian Hill

General Resources

Lecturer Resources

Find resources associated with this title

This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

If you are having problems accessing these resources please contact lecturers@cambridge.org.

Источник