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Python for Scientists
John M. Stewart
€ 41.99
€ 39.41
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Description for Python for Scientists
Paperback. Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Num Pages: 273 pages. BIC Classification: PBKS; UB; UMX. Category: (U) Tertiary Education (US: College). Dimension: 247 x 174. .
Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new ... Read more
Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new ... Read more
Product Details
Publisher
Cambridge University Press
Format
Paperback
Publication date
2017
Condition
New
Number of Pages
270
Place of Publication
Cambridge, United Kingdom
ISBN
9781316641231
SKU
V9781316641231
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About John M. Stewart
John M. Stewart was Emeritus Reader in Gravitational Physics at the University of Cambridge, and a Life Fellow at King's College, Cambridge before his death in 2016. He was the author of Non-equilibrium Relativistic Kinetic Theory (1971) and Advanced General Relativity (Cambridge, 1991), and he translated and edited Hans Stephani's General Relativity (Cambridge, 1990).
Reviews for Python for Scientists
Review of first edition: '... the practitioner who wants to learn Python will love it. This is the type of book I have been looking for to learn Python ... concise, yet practical.' Adhemar Bultheel, European Mathematical Society (euro-math-soc.eu) '... I still think the conciseness of the book is a major asset. It provides just enough to get you started ... Read more