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  <titleInfo>
    <title>Python for data analysis</title>
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  <name type="personal">
    <namePart>McKinney, Wes</namePart>
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    <place>
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    <publisher>O'Reilly</publisher>
    <dateIssued>c2013</dateIssued>
    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
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  <physicalDescription>
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    <extent>xiii, 447 p. : ill. ; 24 cm.</extent>
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  <tableOfContents>Preliminaries -- Introductory examples -- IPython : an interactive computing and development environment -- NumPy basics : arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data wrangling : clean, transform, merge, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Financial and economic data applications -- Advancded NumPy.</tableOfContents>
  <note type="statement of responsibility">Wes McKinney.</note>
  <note>Includes index.</note>
  <subject authority="lcsh">
    <topic>Python (Computer program language)</topic>
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  <subject authority="lcsh">
    <topic>Programming languages (Electronic computers)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <classification authority="lcc">QA76.73.P98 M42 2013</classification>
  <classification authority="ddc" edition="23">005.133 MCK/P</classification>
  <identifier type="isbn">9781449319793 (pbk.)</identifier>
  <identifier type="isbn">1449319793 (pbk.)</identifier>
  <identifier type="lccn">2012538094</identifier>
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