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  <titleInfo>
    <title>Python in Excel step-by-step</title>
  </titleInfo>
  <name type="personal">
    <namePart>Langer, David</namePart>
    <role>
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  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Hoboken, New Jersey</placeTerm>
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    <publisher>John Wiley &amp; Sons Inc.</publisher>
    <dateIssued>c2025</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xvi, 256 pages : illustrations ; 23 cm.</extent>
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  <abstract>"At the time of this writing, I've been in the technology field for 28 years and have been doing analytics for the last 14. Over my career, I've seen many hype cycles come and go (e.g., "Big Data"). I mention this only to emphasize how profoundly I was impacted by what I saw in May of 2023 - an early version of Python in Excel. As an analytics consultant and educator, I was blown away by Microsoft's vision for Excel. There was only one reason why Microsoft would spend so much time and effort into building Python in Excel: Microsoft sees Excel becoming the world's most used do-it-yourself (DIY) data science platform"-- Provided by publisher.</abstract>
  <note type="statement of responsibility">David Langer.</note>
  <subject authority="lcsh">
    <topic>Python (Computer program language)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic spreadsheets</topic>
  </subject>
  <classification authority="lcc">QA 76.73.P98 .L36 2026</classification>
  <identifier type="isbn">9781394340767</identifier>
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    <recordCreationDate encoding="marc">260812</recordCreationDate>
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