<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Scipy and Numpy</title>
  </titleInfo>
  <name type="personal">
    <namePart>Bressert,Eli</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Mumbai</placeTerm>
    </place>
    <publisher>Shroff Publishers &amp; Distributors Pvt. Ltd.</publisher>
    <dateIssued>2019</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>57</extent>
  </physicalDescription>
  <note>Learn the basics of SciPy and NymPy quickly. With this concise introduction, youâll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries. Youâll also understand why theyâre powerful enough for many of todayâs leading scientists and engineers.

This overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. Youâll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level. This book also introduces add-on SciKits packages that focus on advanced imaging algorithms and machine learning.</note>
  <subject>
    <topic>Python</topic>
  </subject>
  <classification authority="ddc">005.133 BRE</classification>
  <identifier type="isbn">978-9305023-963-6</identifier>
  <identifier type="">Allied Informatics, Jaipur</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">BSDU</recordContentSource>
    <recordCreationDate encoding="marc">200117</recordCreationDate>
    <recordChangeDate encoding="iso8601">20200224102514.0</recordChangeDate>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">English</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
