NumPy essentials :: boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy /
Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book Optimize your Python scripts with powerful NumPy modules Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself Pac...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
[2016]
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book Optimize your Python scripts with powerful NumPy modules Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself Packed with rich examples to help you master NumPy arrays and universal functions Who This Book Is For If you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. Prior experience or knowledge of working with the Python language is required. What You Will Learn Manipulate the key attributes and universal functions of NumPy Utilize matrix and mathematical computation using linear algebra modules Implement regression and curve fitting for models Perform time frequency / spectral density analysis using the Fourier Transform modules Collate with the distutils and setuptools modules used by other Python libraries Establish Cython with NumPy arrays Write extension modules for NumPy code using the C API Build sophisticated data structures using NumPy array with libraries such as Panda and Scikits In Detail In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features. Style and approach This quick guide will help you get to grips with the nitty-gritties of NumPy using with practical programming examples. Each topic is explained in both theoretical and practical ways with... |
| Beschreibung: | 1 online resource (1 volume) : illustrations. |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781784392185 1784392189 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-ocn949811266 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 160513s2016 enka o 000 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCO |d OCLCF |d OCLCO |d DEBBG |d DEBSZ |d N$T |d CEF |d AGLDB |d IGB |d UKMGB |d OCLCO |d DST |d OCLCO |d OCLCQ |d OCLCO |d OCLCL |d OCLCQ | ||
| 015 | |a GBC1I7596 |2 bnb | ||
| 016 | 7 | |a 018007177 |2 Uk | |
| 019 | |a 1285696761 | ||
| 020 | |a 9781784392185 |q (electronic bk.) | ||
| 020 | |a 1784392189 |q (electronic bk.) | ||
| 020 | |z 9781784393670 | ||
| 020 | |z 1784393673 | ||
| 035 | |a (OCoLC)949811266 |z (OCoLC)1285696761 | ||
| 037 | |a CL0500000740 |b Safari Books Online | ||
| 050 | 4 | |a QA297 | |
| 072 | 7 | |a COM |x 051360 |2 bisacsh | |
| 072 | 7 | |a MAT |x 041000 |2 bisacsh | |
| 082 | 7 | |a 518 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Chin, Leo |q (Liang-Huan), |e author. | |
| 245 | 1 | 0 | |a NumPy essentials : |b boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / |c Leo (Liang-Huan) Chin, Tanmay Dutta. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed March 13, 2018) | |
| 504 | |a Includes bibliographical references. | ||
| 520 | |a Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book Optimize your Python scripts with powerful NumPy modules Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself Packed with rich examples to help you master NumPy arrays and universal functions Who This Book Is For If you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. Prior experience or knowledge of working with the Python language is required. What You Will Learn Manipulate the key attributes and universal functions of NumPy Utilize matrix and mathematical computation using linear algebra modules Implement regression and curve fitting for models Perform time frequency / spectral density analysis using the Fourier Transform modules Collate with the distutils and setuptools modules used by other Python libraries Establish Cython with NumPy arrays Write extension modules for NumPy code using the C API Build sophisticated data structures using NumPy array with libraries such as Panda and Scikits In Detail In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features. Style and approach This quick guide will help you get to grips with the nitty-gritties of NumPy using with practical programming examples. Each topic is explained in both theoretical and practical ways with... | ||
| 650 | 0 | |a Numerical analysis |x Data processing. | |
| 650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
| 650 | 6 | |a Analyse numérique |x Informatique. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Python. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Numerical Analysis. |2 bisacsh | |
| 650 | 7 | |a Numerical analysis |x Data processing |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 700 | 1 | |a Dutta, Tanmay, |e author. | |
| 758 | |i has work: |a NumPy Essentials (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3DgY4r3fDWx9WVmpMH8JC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 830 | 0 | |a Community experience distilled. |0 http://id.loc.gov/authorities/names/no2011030603 | |
| 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=1228516 |3 Volltext |
| 938 | |a EBSCOhost |b EBSC |n 1228516 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn949811266 |
|---|---|
| _version_ | 1816882349162364928 |
| adam_text | |
| any_adam_object | |
| author | Chin, Leo (Liang-Huan) Dutta, Tanmay |
| author_facet | Chin, Leo (Liang-Huan) Dutta, Tanmay |
| author_role | aut aut |
| author_sort | Chin, Leo |
| author_variant | l c lc t d td |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA297 |
| callnumber-raw | QA297 |
| callnumber-search | QA297 |
| callnumber-sort | QA 3297 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| ctrlnum | (OCoLC)949811266 |
| dewey-full | 518 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 518 - Numerical analysis |
| dewey-raw | 518 |
| dewey-search | 518 |
| dewey-sort | 3518 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05027cam a2200589 i 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn949811266</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr unu||||||||</controlfield><controlfield tag="008">160513s2016 enka o 000 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">UMI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">UMI</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCF</subfield><subfield code="d">OCLCO</subfield><subfield code="d">DEBBG</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">N$T</subfield><subfield code="d">CEF</subfield><subfield code="d">AGLDB</subfield><subfield code="d">IGB</subfield><subfield code="d">UKMGB</subfield><subfield code="d">OCLCO</subfield><subfield code="d">DST</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBC1I7596</subfield><subfield code="2">bnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">018007177</subfield><subfield code="2">Uk</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1285696761</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781784392185</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1784392189</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781784393670</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1784393673</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)949811266</subfield><subfield code="z">(OCoLC)1285696761</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">CL0500000740</subfield><subfield code="b">Safari Books Online</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA297</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">051360</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT</subfield><subfield code="x">041000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">518</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">Chin, Leo</subfield><subfield code="q">(Liang-Huan),</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">NumPy essentials :</subfield><subfield code="b">boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy /</subfield><subfield code="c">Leo (Liang-Huan) Chin, Tanmay Dutta.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume) :</subfield><subfield code="b">illustrations.</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="490" ind1="1" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Online resource; title from PDF title page (EBSCO, viewed March 13, 2018)</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book Optimize your Python scripts with powerful NumPy modules Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself Packed with rich examples to help you master NumPy arrays and universal functions Who This Book Is For If you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. Prior experience or knowledge of working with the Python language is required. What You Will Learn Manipulate the key attributes and universal functions of NumPy Utilize matrix and mathematical computation using linear algebra modules Implement regression and curve fitting for models Perform time frequency / spectral density analysis using the Fourier Transform modules Collate with the distutils and setuptools modules used by other Python libraries Establish Cython with NumPy arrays Write extension modules for NumPy code using the C API Build sophisticated data structures using NumPy array with libraries such as Panda and Scikits In Detail In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features. Style and approach This quick guide will help you get to grips with the nitty-gritties of NumPy using with practical programming examples. Each topic is explained in both theoretical and practical ways with...</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Numerical analysis</subfield><subfield code="x">Data processing.</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="6"><subfield code="a">Analyse numérique</subfield><subfield code="x">Informatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming Languages / Python.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Numerical Analysis.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Numerical analysis</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="700" ind1="1" ind2=" "><subfield code="a">Dutta, Tanmay,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">NumPy Essentials (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PD3DgY4r3fDWx9WVmpMH8JC</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Community experience distilled.</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2011030603</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=1228516</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1228516</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-ocn949811266 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:27:12Z |
| institution | BVB |
| isbn | 9781784392185 1784392189 |
| language | English |
| oclc_num | 949811266 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (1 volume) : illustrations. |
| psigel | ZDB-4-EBA |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Packt Publishing, |
| record_format | marc |
| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Chin, Leo (Liang-Huan), author. NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / Leo (Liang-Huan) Chin, Tanmay Dutta. Birmingham, UK : Packt Publishing, [2016] ©2016 1 online resource (1 volume) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Community experience distilled Online resource; title from PDF title page (EBSCO, viewed March 13, 2018) Includes bibliographical references. Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book Optimize your Python scripts with powerful NumPy modules Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself Packed with rich examples to help you master NumPy arrays and universal functions Who This Book Is For If you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. Prior experience or knowledge of working with the Python language is required. What You Will Learn Manipulate the key attributes and universal functions of NumPy Utilize matrix and mathematical computation using linear algebra modules Implement regression and curve fitting for models Perform time frequency / spectral density analysis using the Fourier Transform modules Collate with the distutils and setuptools modules used by other Python libraries Establish Cython with NumPy arrays Write extension modules for NumPy code using the C API Build sophisticated data structures using NumPy array with libraries such as Panda and Scikits In Detail In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features. Style and approach This quick guide will help you get to grips with the nitty-gritties of NumPy using with practical programming examples. Each topic is explained in both theoretical and practical ways with... Numerical analysis Data processing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Analyse numérique Informatique. Python (Langage de programmation) COMPUTERS / Programming Languages / Python. bisacsh MATHEMATICS / Numerical Analysis. bisacsh Numerical analysis Data processing fast Python (Computer program language) fast Dutta, Tanmay, author. has work: NumPy Essentials (Text) https://id.oclc.org/worldcat/entity/E39PD3DgY4r3fDWx9WVmpMH8JC https://id.oclc.org/worldcat/ontology/hasWork Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1228516 Volltext |
| spellingShingle | Chin, Leo (Liang-Huan) Dutta, Tanmay NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / Community experience distilled. Numerical analysis Data processing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Analyse numérique Informatique. Python (Langage de programmation) COMPUTERS / Programming Languages / Python. bisacsh MATHEMATICS / Numerical Analysis. bisacsh Numerical analysis Data processing fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 |
| title | NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / |
| title_auth | NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / |
| title_exact_search | NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / |
| title_full | NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / Leo (Liang-Huan) Chin, Tanmay Dutta. |
| title_fullStr | NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / Leo (Liang-Huan) Chin, Tanmay Dutta. |
| title_full_unstemmed | NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / Leo (Liang-Huan) Chin, Tanmay Dutta. |
| title_short | NumPy essentials : |
| title_sort | numpy essentials boost your scientific and analytic capabilities in no time at all by discovering how to build real world applications with numpy |
| title_sub | boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy / |
| topic | Numerical analysis Data processing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Analyse numérique Informatique. Python (Langage de programmation) COMPUTERS / Programming Languages / Python. bisacsh MATHEMATICS / Numerical Analysis. bisacsh Numerical analysis Data processing fast Python (Computer program language) fast |
| topic_facet | Numerical analysis Data processing. Python (Computer program language) Analyse numérique Informatique. Python (Langage de programmation) COMPUTERS / Programming Languages / Python. MATHEMATICS / Numerical Analysis. Numerical analysis Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1228516 |
| work_keys_str_mv | AT chinleo numpyessentialsboostyourscientificandanalyticcapabilitiesinnotimeatallbydiscoveringhowtobuildrealworldapplicationswithnumpy AT duttatanmay numpyessentialsboostyourscientificandanalyticcapabilitiesinnotimeatallbydiscoveringhowtobuildrealworldapplicationswithnumpy |