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...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
[2021]
|
| Ausgabe: | Second edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781838825102 183882510X |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1285954372 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 211122t20212021enk ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d UKAHL |d UKMGB |d EBLCP |d OCLCF |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d IEEEE |d OCLCO |d YDX |d OCLCQ |d OCLCL |d TMA |d OCLCO |d OCLCQ | ||
| 015 | |a GBC196833 |2 bnb | ||
| 016 | 7 | |a 020227045 |2 Uk | |
| 019 | |a 1262315021 | ||
| 020 | |a 9781838825102 |q (electronic bk.) | ||
| 020 | |a 183882510X |q (electronic bk.) | ||
| 020 | |z 9781838822323 | ||
| 035 | |a (OCoLC)1285954372 |z (OCoLC)1262315021 | ||
| 037 | |a 9781838825102 |b Packt Publishing Pvt. Ltd | ||
| 037 | |a 10163036 |b IEEE | ||
| 050 | 4 | |a QA76.73.P98 | |
| 082 | 7 | |a 005.133 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Führer, Claus, |e author. | |
| 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] | |
| 264 | 4 | |c ©2021 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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. | |
| 505 | 0 | |a Table of Contents Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working With Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples. | |
| 650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
| 650 | 0 | |a Science |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85118562 | |
| 650 | 0 | |a Engineering |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85043180 | |
| 650 | 0 | |a Application software |x Development. |0 http://id.loc.gov/authorities/subjects/sh95009362 | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Sciences |x Informatique. | |
| 650 | 6 | |a Ingénierie |x Informatique. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 650 | 7 | |a Engineering |x Data processing |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 650 | 7 | |a Science |x Data processing |2 fast | |
| 700 | 1 | |a Verdier, Olivier, |e author. | |
| 700 | 1 | |a Solem, Jan Erik, |e author. | |
| 758 | |i has work: |a Scientific computing with Python (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFH7t3WQ77pr3qXrHh3c8y |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Führer, Claus. |t Scientific computing with Python. |b Second edition. |d Birmingham : Packt Publishing, [2021] |z 9781838822323 |w (OCoLC)1259524381 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966711 |3 Volltext |
| 938 | |a YBP Library Services |b YANK |n 302334798 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH38813380 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6703044 | ||
| 938 | |a EBSCOhost |b EBSC |n 2966711 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1285954372 |
|---|---|
| _version_ | 1816882552866078720 |
| adam_text | |
| any_adam_object | |
| author | Führer, Claus Verdier, Olivier Solem, Jan Erik |
| author_facet | Führer, Claus Verdier, Olivier Solem, Jan Erik |
| author_role | aut aut aut |
| author_sort | Führer, Claus |
| author_variant | c f cf o v ov j e s je jes |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.73.P98 |
| callnumber-search | QA76.73.P98 |
| callnumber-sort | QA 276.73 P98 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Table of Contents Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working With Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples. |
| ctrlnum | (OCoLC)1285954372 |
| dewey-full | 005.133 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.133 |
| dewey-search | 005.133 |
| dewey-sort | 15.133 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Second edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05103cam a2200673 i 4500</leader><controlfield tag="001">ZDB-4-EBA-on1285954372</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu|||unuuu</controlfield><controlfield tag="008">211122t20212021enk ob 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">N$T</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">N$T</subfield><subfield code="d">N$T</subfield><subfield code="d">UKAHL</subfield><subfield code="d">UKMGB</subfield><subfield code="d">EBLCP</subfield><subfield code="d">OCLCF</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">IEEEE</subfield><subfield code="d">OCLCO</subfield><subfield code="d">YDX</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCL</subfield><subfield code="d">TMA</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBC196833</subfield><subfield code="2">bnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">020227045</subfield><subfield code="2">Uk</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1262315021</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838825102</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">183882510X</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781838822323</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1285954372</subfield><subfield code="z">(OCoLC)1262315021</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">9781838825102</subfield><subfield code="b">Packt Publishing Pvt. Ltd</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">10163036</subfield><subfield code="b">IEEE</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.P98</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Führer, Claus,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scientific computing with Python :</subfield><subfield code="b">high-performance scientific computing with NumPy, SciPy, and pandas /</subfield><subfield code="c">Claus Fuhrer, Olivier Verdier, Jan Erik Solem.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Table of Contents Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working With Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh96008834</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Science</subfield><subfield code="x">Data processing.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85118562</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Engineering</subfield><subfield code="x">Data processing.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85043180</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application software</subfield><subfield code="x">Development.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh95009362</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Sciences</subfield><subfield code="x">Informatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Ingénierie</subfield><subfield code="x">Informatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Logiciels d'application</subfield><subfield code="x">Développement.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Application software</subfield><subfield code="x">Development</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Engineering</subfield><subfield code="x">Data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Python (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Science</subfield><subfield code="x">Data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Verdier, Olivier,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Solem, Jan Erik,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Scientific computing with Python (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCFH7t3WQ77pr3qXrHh3c8y</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Führer, Claus.</subfield><subfield code="t">Scientific computing with Python.</subfield><subfield code="b">Second edition.</subfield><subfield code="d">Birmingham : Packt Publishing, [2021]</subfield><subfield code="z">9781838822323</subfield><subfield code="w">(OCoLC)1259524381</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966711</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">302334798</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH38813380</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL6703044</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">2966711</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-on1285954372 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:30:26Z |
| institution | BVB |
| isbn | 9781838825102 183882510X |
| language | English |
| oclc_num | 1285954372 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Packt Publishing, |
| record_format | marc |
| spelling | Führer, Claus, author. Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / Claus Fuhrer, Olivier Verdier, Jan Erik Solem. Second edition. Birmingham : Packt Publishing, [2021] ©2021 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. Includes bibliographical references and index. Print version record. Table of Contents Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working With Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Science Data processing. http://id.loc.gov/authorities/subjects/sh85118562 Engineering Data processing. http://id.loc.gov/authorities/subjects/sh85043180 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Sciences Informatique. Ingénierie Informatique. Logiciels d'application Développement. Application software Development fast Engineering Data processing fast Python (Computer program language) fast Science Data processing fast Verdier, Olivier, author. Solem, Jan Erik, author. has work: Scientific computing with Python (Text) https://id.oclc.org/worldcat/entity/E39PCFH7t3WQ77pr3qXrHh3c8y https://id.oclc.org/worldcat/ontology/hasWork Print version: Führer, Claus. Scientific computing with Python. Second edition. Birmingham : Packt Publishing, [2021] 9781838822323 (OCoLC)1259524381 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966711 Volltext |
| spellingShingle | Führer, Claus Verdier, Olivier Solem, Jan Erik Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / Table of Contents Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working With Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Science Data processing. http://id.loc.gov/authorities/subjects/sh85118562 Engineering Data processing. http://id.loc.gov/authorities/subjects/sh85043180 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Sciences Informatique. Ingénierie Informatique. Logiciels d'application Développement. Application software Development fast Engineering Data processing fast Python (Computer program language) fast Science Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh85118562 http://id.loc.gov/authorities/subjects/sh85043180 http://id.loc.gov/authorities/subjects/sh95009362 |
| title | Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / |
| title_auth | Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / |
| title_exact_search | Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / |
| title_full | Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / Claus Fuhrer, Olivier Verdier, Jan Erik Solem. |
| title_fullStr | Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / Claus Fuhrer, Olivier Verdier, Jan Erik Solem. |
| title_full_unstemmed | Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas / Claus Fuhrer, Olivier Verdier, Jan Erik Solem. |
| title_short | Scientific computing with Python : |
| title_sort | scientific computing with python high performance scientific computing with numpy scipy and pandas |
| title_sub | high-performance scientific computing with NumPy, SciPy, and pandas / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Science Data processing. http://id.loc.gov/authorities/subjects/sh85118562 Engineering Data processing. http://id.loc.gov/authorities/subjects/sh85043180 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Sciences Informatique. Ingénierie Informatique. Logiciels d'application Développement. Application software Development fast Engineering Data processing fast Python (Computer program language) fast Science Data processing fast |
| topic_facet | Python (Computer program language) Science Data processing. Engineering Data processing. Application software Development. Python (Langage de programmation) Sciences Informatique. Ingénierie Informatique. Logiciels d'application Développement. Application software Development Engineering Data processing Science Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966711 |
| work_keys_str_mv | AT fuhrerclaus scientificcomputingwithpythonhighperformancescientificcomputingwithnumpyscipyandpandas AT verdierolivier scientificcomputingwithpythonhighperformancescientificcomputingwithnumpyscipyandpandas AT solemjanerik scientificcomputingwithpythonhighperformancescientificcomputingwithnumpyscipyandpandas |