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  <titleInfo>
    <title>Python for programmers</title>
    <subTitle>with introductory AI cases studies</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Deitel, Paul</namePart>
    <role>
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    <role>
      <roleTerm type="text">autor.</roleTerm>
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  <name type="personal">
    <namePart>Deitel, Harvey</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <dateIssued encoding="marc">2019</dateIssued>
    <issuance>monographic</issuance>
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    <extent>601 páginas.</extent>
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  <abstract>The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies—Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python—one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms.</abstract>
  <tableOfContents>1. Introduction to Computers and Python. -- 2. Introduction to Python Programming. -- 3. Control Statements. -- 4. Functions. -- 4.1 Introduction. -- 4.2 Defining Functions. -- 4.3 Functions with Multiple Parameters. -- 5. Sequences: Lists and Tuples. -- 6. Dictionaries and Sets. -- 7. Array-Oriented Programming with NumPy. -- 8. Strings: A Deeper Look. -- 9. Files and Exceptions. -- 10. Object-Oriented Programming. -- 11. Natural Language Processing (NLP). -- 12. Data Mining Twitter. -- 13. IBM Watson and Cognitive Computing. -- 14. Machine Learning: Classification, Regression and Clustering. -- 15. Deep Learning. -- 16. Big Data: Hadoop, Spark, NoSQL and IoT</tableOfContents>
  <note>Table of contents included.</note>
  <subject authority="lcsh">
    <topic>Natural language processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data science</topic>
  </subject>
  <classification authority="ddc" edition="23">005.133 D325p</classification>
  <identifier type="isbn">9780135224335</identifier>
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