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  <titleInfo>
    <title>Python for data analysis</title>
  </titleInfo>
  <name type="personal">
    <namePart>McKinney, Wes</namePart>
    <namePart type="date">1985-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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    <place>
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    <publisher>O´Reilly</publisher>
    <dateIssued>2013</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">spa</languageTerm>
  </language>
  <physicalDescription>
    <extent>447 p. ;  24 cm</extent>
  </physicalDescription>
  <tableOfContents>Preface. -- 1. Preliminaries. -- 2. Introductory examples. -- 3. Python : an interactive computing and development enviroement. -- 4. NumPY basic: Arrays and vectorized computation. -- 5. Getting started with pandas. -- 6. Daa loading, storage, and file formats. -- 7. Data wrangling: clean, transforms, merge, reshape. -- 8. Plotting and visualization. -- 9. Data aggregation ans group operations. -- 10. Tme series. -- 11. Financial and economic data applications. -- 12. Advanced NumPY. -- Appendix: Python language essentials. -- Index.</tableOfContents>
  <note type="statement of responsibility">Wes McKinney.</note>
  <subject>
    <topic>LENGUAJES DE PROGRMACIÓN</topic>
  </subject>
  <subject>
    <topic>PYTHON</topic>
  </subject>
  <classification authority="udc">004.43</classification>
  <identifier type="isbn">9781449319793</identifier>
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    <recordIdentifier source="AR-FRRoUTN">639</recordIdentifier>
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      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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