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Copy file name to clipboardexpand all lines: README.md
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@@ -19,6 +19,8 @@ June 16, 2020: https://learning.oreilly.com/live-training/courses/python-data-sc
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July 28, 2020: https://learning.oreilly.com/live-training/courses/python-data-science-full-throttle-with-paul-deitel-introductory-artificial-intelligence-ai-big-data-and-cloud-case-studies/0636920444305/
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August 18, 2020: https://learning.oreilly.com/live-training/courses/python-data-science-full-throttle-with-paul-deitel-introductory-artificial-intelligence-ai-big-data-and-cloud-case-studies/0636920457855/
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I'll keep this repository up-to-date with any changes I make for future presentations.
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**These files are for your personal use and may not be redistributed or reposted.**
<h1id="Python-Data-Science-Full-Throttle:-Introductory-Artificial-Intelligence-(AI),-Big-Data-and-Cloud-Case-Studies">Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies<aclass="anchor-link" href="#Python-Data-Science-Full-Throttle:-Introductory-Artificial-Intelligence-(AI),-Big-Data-and-Cloud-Case-Studies">¶</a></h1><p><imgalt="Python Fundamentals LiveLessons cover" src="./images/course_image.jpg" /></p>
<h1id="Upcoming-Deitel-O'Reilly-Live-Training-Courses"><ahref="https://deitel.com/LearnWithDeitel">Upcoming Deitel O'Reilly Live Training Courses</a><aclass="anchor-link" href="#Upcoming-Deitel-O'Reilly-Live-Training-Courses">¶</a></h1><ul>
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<li>August 12—Python Full Throttle</li>
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<li>August 18—Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies</li>
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<li>August 25—Java Full Throttle</li>
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<li>September 22—Python Full Throttle</li>
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<li>September 29—Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies</li>
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<li><ahref="https://deitel.com/LearnWithDeitel">Check the Schedule</a></li>
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<li><ahref="https://deitel.com/LearnWithDeitel">Check the Schedule</a> — October and November classes opening for enrollments soon.</li>
<h3id="Detailed-Treatments-of-This-Material">Detailed Treatments of This Material<aclass="anchor-link" href="#Detailed-Treatments-of-This-Material">¶</a></h3><p>Here on Safari</p>
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<h3id="Detailed-Treatments-of-This-Material">Detailed Treatments of This Material<aclass="anchor-link" href="#Detailed-Treatments-of-This-Material">¶</a></h3><p>Here on O'Reilly</p>
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<ul>
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<li><strong><ahref="https://learning.oreilly.com/videos/python-fundamentals/9780135917411"><em>Python Fundamentals</em> video training</a></strong></li>
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<li><strong><ahref="https://learning.oreilly.com/library/view/python-for-programmers/9780135231364/"><em>Python for Programmers</em> e-book</a></strong></li>
<h1id="Our-Python-Textbook-for-College-Courses">Our <ahref="https://learning.oreilly.com/library/view/intro-to-python/9780135404799/"><strong>Python Textbook</strong></a> for College Courses<aclass="anchor-link" href="#Our-Python-Textbook-for-College-Courses">¶</a></h1><p><astyle="float: left; padding-right:20px" href="https://amzn.to/2LiDCmt"><imgalt="Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud" src="./images/IntroToPythonCover.png" width="200" border="1"></a></p>
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<h1id="Our-Python-Textbook-for-College-Courses">Our <ahref="https://learning.oreilly.com/library/view/intro-to-python/9780135404799/"><strong>Python Textbook</strong></a> for College Courses<aclass="anchor-link" href="#Our-Python-Textbook-for-College-Courses">¶</a></h1><p><astyle="float: left; padding-right:30px" href="https://amzn.to/2LiDCmt"><imgalt="Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud" src="./images/IntroToPythonCover.png" width="200" border="1"></a></p>
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<ul>
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<li>Full color</li>
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<li>880 pages—240 more than <strong>Python for Programmers</strong></li>
<h1id="Upcoming-Deitel-O'Reilly-Live-Training-Courses"><ahref="https://deitel.com/LearnWithDeitel">Upcoming Deitel O'Reilly Live Training Courses</a><aclass="anchor-link" href="#Upcoming-Deitel-O'Reilly-Live-Training-Courses">¶</a></h1><ul>
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<li>August 12—Python Full Throttle</li>
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<li>August 18—Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies</li>
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<li>August 25—Java Full Throttle</li>
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<li>September 22—Python Full Throttle</li>
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<li>September 29—Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies</li>
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<li><ahref="https://deitel.com/LearnWithDeitel">Check the Schedule</a></li>
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<li><ahref="https://deitel.com/LearnWithDeitel">Check the Schedule</a> — October and November classes opening for enrollments soon.</li>
<h1id="Our-Python-Textbook-for-College-Courses">Our <ahref="https://learning.oreilly.com/library/view/intro-to-python/9780135404799/"><strong>Python Textbook</strong></a> for College Courses<aclass="anchor-link" href="#Our-Python-Textbook-for-College-Courses">¶</a></h1><p><astyle="float: left; padding-right:20px" href="https://amzn.to/2LiDCmt"><imgalt="Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud" src="./images/IntroToPythonCover.png" width="200" border="1"></a></p>
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<ul>
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<li>Full color</li>
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<li>880 pages—240 more than <strong>Python for Programmers</strong></li>
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<li><strong>Programming fundamentals</strong>, including <strong>program development</strong></li>
<li><strong>College Professors/Instructors</strong>: See my <ahref="https://www.pearson.com/us/about/news-events/events/2019/04/intro-to-python-for-computer-science-and-data-science.html">previously recorded 45-minute webinar</a> overview of the textbook and our approach to teaching Python, computer science, data science and AI</li>
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<li><strong>College Professors/Instructors</strong>: <ahref="https://www.pearson.com/replocator">Request an examination copy</a> from your Pearson representative</li>
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</ul>
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<p>Print book: <ahref="https://amzn.to/2LiDCmt"><strong><em>Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud</em> on Amazon</strong></a></p>
<divstyle="float: left; padding-right:10px;text-align:center"><ahref="https://learning.oreilly.com/library/view/intro-to-python/9780135404799/"><imgalt="Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud" src="./images/IntroToPythonCover.png" width="195" border="1"></a><br/><ahref="https://amzn.to/2LiDCmt">Buy on Amazon</a></div></div>
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<divstyle="float: left; padding-right:10px;text-align:center"><ahref="https://learning.oreilly.com/library/view/python-for-programmers/9780135231364"><imgalt="Python for Programmers cover" src="./images/PyFPCover.png" width="184" border="1"/></a><br/><ahref="https://amzn.to/2VvdnxE">Buy on Amazon</a></div>
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