Scientific computing with Python high-performance scientific computing with NumPy, SciPy, and pandas
Leverage this example-packed, comprehensive guide for all your Python computational needs. Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient da...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing,
[2021]
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 03529cam a2200493Ii 4500 | ||
|---|---|---|---|
| 001 | koha001013598 | ||
| 003 | OCoLC | ||
| 005 | 20250222070006.0 | ||
| 006 | m d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 211122t20212021enk ob 001 0 eng d | ||
| 035 | |a koha001013598 | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T | ||
| 020 | |a 9781838825102 |q (electronic bk.) | ||
| 020 | |a 183882510X |q (electronic bk.) | ||
| 020 | |z 9781838822323 | ||
| 050 | 4 | |a QA76.73.P98 | |
| 082 | 0 | 4 | |a 005.133 |2 23 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Führer, Claus, |9 911989 | |
| 245 | 1 | 0 | |a Scientific computing with Python |b high-performance scientific computing with NumPy, SciPy, and pandas |c Claus Fuhrer, Olivier Verdier, Jan Erik Solem. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham |b Packt Publishing, |c [2021] | |
| 300 | |a 1 online resource. | ||
| 520 | |a Leverage this example-packed, comprehensive guide for all your Python computational needs. Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing. This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 653 | 0 | |a Python (Computer program language) | |
| 653 | 0 | |a Science |x Data processing. | |
| 653 | 0 | |a Engineering |x Data processing. | |
| 653 | 0 | |a Application software |x Development. | |
| 653 | 7 | |a Application software |x Development. |2 fast |0 (OCoLC)fst00811707 | |
| 653 | 7 | |a Engineering |x Data processing. |2 fast |0 (OCoLC)fst00910334 | |
| 653 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 653 | 7 | |a Science |x Data processing. |2 fast |0 (OCoLC)fst01108207 | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 4 | |a Electronic books. |9 899821 | |
| 700 | 1 | |a Verdier, Olivier, |9 911990 | |
| 700 | 1 | |a Solem, Jan Erik, |9 911991 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/2966711.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1013598 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1013598 |d 1013598 | ||
| 039 | |||