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  <titleInfo>
    <title>Android for programmers</title>
    <subTitle>an App-driven approach</subTitle>
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  <name type="personal">
    <namePart>Deitel, Paul J.</namePart>
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    <namePart>Deitel, Harvey M.</namePart>
    <namePart type="date">1945-</namePart>
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  <name type="personal">
    <namePart>Deitel, Abbey</namePart>
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    <place>
      <placeTerm type="text">Chennai</placeTerm>
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    <publisher>Pearson</publisher>
    <dateIssued>2020</dateIssued>
    <dateIssued encoding="marc" point="start">2014</dateIssued>
    <dateIssued encoding="marc" point="end">2014</dateIssued>
    <edition>2nd edition.</edition>
    <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>600 p.: color illustrations ; 23 cm.</extent>
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  <tableOfContents>Introduction to Android -- Welcome app -- Tip calculator app -- Twitter® searches app -- Flag quiz app -- Cannon game app -- Doodlz app -- Address book app -- Google play and app business issues.</tableOfContents>
  <note type="statement of responsibility">Paul Deitel, Harvey Deitel, Abbey Deitel, Deitel &amp; Associates Inc.</note>
  <note>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. Table of Content "Chapter 1: Introduction to Computers and Python Chapter 2: Introduction to Python Programming Chapter 3: Control Statements Chapter 4: Functions Chapter 5: Sequences: Lists and Tuples Chapter 6: Dictionaries and Sets Chapter 7: Array-Oriented Programming with NumPy Chapter 8: Strings: A Deeper Look Chapter 9: Files and Exceptions Chapter 10: Object-Oriented Programming Chapter 11: Natural Language Processing (NLP) Chapter 12: Data Mining Twitter Chapter 13: IBM Watson and Cognitive Computing Chapter 14: Machine Learning: Classification, Regression and Clustering Chapter 15: Deep Learning Chapter 16: Big Data: Hadoop, Spark, NoSQL and IoT " Salient Features "· 500+ hands-on, real-world, live-code examples from snippets to case studies · IPython + code in Jupyter® Notebooks · Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code · Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions · Procedural, functional-style and object-oriented programming"</note>
  <note>Includes index.</note>
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      <title>Android (Electronic resource)</title>
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    <titleInfo>
      <title>Android (Electronic resource)</title>
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  <subject authority="lcsh">
    <topic>Application software</topic>
    <topic>Development</topic>
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  <subject authority="lcsh">
    <topic>Mobile computing</topic>
  </subject>
  <subject authority="fast">
    <topic>Application software</topic>
    <topic>Development</topic>
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  <subject authority="fast">
    <topic>Mobile computing</topic>
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  <subject authority="gnd">
    <topic>Android 4.3</topic>
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  <subject authority="gnd">
    <topic>Android 4.4</topic>
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  <subject authority="gnd">
    <topic>Mobile Computing</topic>
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  <subject authority="gnd">
    <topic>App</topic>
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  <subject authority="">
    <topic>Python (Computer program language)</topic>
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  <subject authority="">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <subject authority="">
    <topic>Artificial intelligence</topic>
  </subject>
  <classification authority="ddc" edition="23rd ed.">005.276 DEI</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Deitel developer series</title>
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  <identifier type="isbn">9789353947989</identifier>
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