| 000 | 03015nam a22003375i 4500 | ||
|---|---|---|---|
| 999 |
_c232283 _d232283 |
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| 001 | 232283 | ||
| 003 | ES-VaUE | ||
| 005 | 20220531192455.0 | ||
| 007 | ta | ||
| 008 | 210309s2021 nju 000 0 eng | ||
| 010 | _a 2021934834 | ||
| 020 |
_a9780691219288 _q(hardback) |
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| 020 |
_a9780691223650 _q(paperback) |
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| 020 |
_z9780691223667 _q(ebook) |
||
| 040 |
_aDLC _beng _erda _cUEV _dES-VaUE |
||
| 042 | _apcc | ||
| 050 |
_aQA76.73 .P98 _bK56 2021 |
||
| 100 | 1 |
_aKinder, Jesse M., _d1978- _eauthor. |
|
| 245 | 1 | 2 |
_aA student's guide to python for physical modeling _cJesse M. Kinder, Philip Nelson |
| 250 | _aSecond ed. | ||
| 264 | 1 |
_aPrinceton _bPrinceton University Press _ccop. 2021 |
|
| 300 |
_a223 p. _bil. _c25 cm |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 520 | _a"Python is an open-source computer programming language that is popular in the sciences. This second edition of A Student's Guide to Python for Physical Modeling offers an up-to-date primer aimed to help students (without previous programming experience) form a enough of a foundation in the Python programming language to get started with physical modeling. Students will learn how to install a Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. The text is applicable to all fields of science, but focuses on the physical sciences. It can be used as a textbook to cover a 2-3 week introductory tutorial on Python within any course in the physical sciences, or it can be used for self-study by individuals wanting to quickly learn Python for use in their own research. Numerous code samples and exercises - with solutions-illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more. ** 2nd Edition includes the following** - Retains the short, focused format that has been successful for the 1st edition. - Retains the focus on novice readers who need basic skills. - Retain the focus on the needs of physical-science students. - Updated to reflect changes in the Python language (current with Python 3.9) and common practice in plotting and numerical methods. - Updated to reflect changes in the Anaconda software distribution. - Concepts and instructions clarified throughout, based on classroom experience. - Reduced emphasis on the decreasingly popular Spyder platform. Increased coverage of the popular Jupyter Notebook platform. - Additional new appendix on command line tools and version control with Git. - Additional new material on symbolic calculations with SymPy. - Additional new material to introduce basic Python libraries for data science and machine learning (pandas, sklearn)"-- | ||
| 650 | 7 |
_2embne _929326 _aPython (Lenguaje de programación) |
|
| 700 | 1 |
_aNelson, Philip, _d1957- _eauthor. |
|
| 942 |
_2lcc _cMSA |
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| 998 | _da | ||