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<h1id="Upcoming-Deitel-Safari-Live-Training-Courses"><ahref="https://learning.oreilly.com/search/?query=deitel&extended_publisher_data=true&highlight=true&include_assessments=false&include_case_studies=true&include_courses=true&include_orioles=true&include_playlists=true&include_collections=true&include_notebooks=true&is_academic_institution_account=false&source=user&formats=live%20online%20training&sort=relevance&facet_json=true&page=0">Upcoming Deitel Safari Live Training Courses</a><aclass="anchor-link" href="#Upcoming-Deitel-Safari-Live-Training-Courses">¶</a></h1><ul>
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<li>11/5/19—Java Full Throttle with Paul Deitel: A One-Day, Code-Intensive Java Standard Edition </li>
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<li>11/12/19—Python Full Throttle with Paul Deitel: A One-Day, Fast-Paced, Code-Intensive Python </li>
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<li>11/19/19—Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies</li>
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<li>12/10/19—Python Full Throttle with Paul Deitel: A One-Day, Fast-Paced, Code-Intensive Python </li>
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<li>12/17/19—Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies </li>
<h1id="Code-and-Jupyter-Notebooks-for-Today's-Presentation">Code and Jupyter Notebooks for Today's Presentation<aclass="anchor-link" href="#Code-and-Jupyter-Notebooks-for-Today's-Presentation">¶</a></h1><ul>
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<li>Presenting in <strong>Jupyter Notebooks</strong></li>
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<li><ahref="https://github.com/pdeitel/PythonDataScienceFullThrottle"><strong>Download the notebooks</strong> from my GitHub repository</a></li>
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<li>Root <strong><code>PythonDataScienceFullThrottle</code></strong> folder contains this <strong><code>StartHere.ipynb</code></strong> and <strong>subfolders <code>ch11</code>-<code>ch16</code></strong> for the 6 sections of today's presentation<ul>
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<li>Each corresponds to lessons in my <strong>Python Fundamentals LiveLessons videos</strong> and chapters in <strong>Python for Programmers</strong></li>
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</ul>
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</li>
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<li>Each notebook also is <strong>provided as an HTML document</strong></li>
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<li>January and Feburary course schedule coming soon.</li>
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<li><ahref="https://learning.oreilly.com/search/?query=deitel&extended_publisher_data=true&highlight=true&include_assessments=false&include_case_studies=true&include_courses=true&include_orioles=true&include_playlists=true&include_collections=true&include_notebooks=true&is_academic_institution_account=false&source=user&formats=live%20online%20training&sort=relevance&facet_json=true&page=0">Check the Schedule</a></li>
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<li>My goal is to expose you to <strong>many data science and AI topics</strong> in Python</li>
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<li>Many of these <strong>require complex software setups</strong> that I can't cover in the course due to time constraints</li>
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<li>I don't intend for you to run everything in parallel with my presentation.</li>
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<li><strong>Today's goal:</strong> Expose you to <strong>many data science and AI topics</strong> in Python</li>
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<li>Some <strong>require complex software setups</strong> that I can't cover in the course due to time constraints</li>
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<li>I've provided <strong>links to detailed setup instructions</strong> in both my <strong>Python Fundamentals LiveLessons videos</strong> and in <strong>Python for Programmers</strong></li>
<h1><strong>"If I have seen further it is by standing on the shoulders of giants."</strong> — Isaac Newton (and others before him)</h1>
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<h1> </h1>
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<h1> </h1>
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<h1id="Code-and-Jupyter-Notebooks-for-Today's-Presentation">Code and Jupyter Notebooks for Today's Presentation<aclass="anchor-link" href="#Code-and-Jupyter-Notebooks-for-Today's-Presentation">¶</a></h1><ul>
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<li>Presenting in <strong>Jupyter Notebooks</strong></li>
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<li><ahref="https://github.com/pdeitel/PythonDataScienceFullThrottle"><strong>Download the notebooks</strong> from my GitHub repository</a></li>
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<li>Root <strong><code>PythonDataScienceFullThrottle</code></strong> folder contains this <strong><code>StartHere.ipynb</code></strong> and <strong>subfolders <code>ch11</code>-<code>ch16</code></strong> for the 6 sections of today's presentation<ul>
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<li>Each folder corresponds to a lesson in my <strong>Python Fundamentals LiveLessons videos</strong> and a chapter in <strong>Python for Programmers</strong></li>
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</ul>
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</li>
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<li>Each notebook also is <strong>provided as an HTML document</strong> for those of you who are not set up to run Jupyter Notebooks</li>
<p><ahref="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>
<li>Like what you saw? <strong>Please send testimonial comments to paul@deitel.com</strong>. We'd love to feature your comments in our marketing for future courses.</li>
<h1id="Upcoming-Deitel-Safari-Live-Training-Courses"><ahref="https://learning.oreilly.com/search/?query=deitel&extended_publisher_data=true&highlight=true&include_assessments=false&include_case_studies=true&include_courses=true&include_orioles=true&include_playlists=true&include_collections=true&include_notebooks=true&is_academic_institution_account=false&source=user&formats=live%20online%20training&sort=relevance&facet_json=true&page=0">Upcoming Deitel Safari Live Training Courses</a><aclass="anchor-link" href="#Upcoming-Deitel-Safari-Live-Training-Courses">¶</a></h1><ul>
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<li>11/5/19—Java Full Throttle with Paul Deitel: A One-Day, Code-Intensive Java Standard Edition </li>
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<li>11/12/19—Python Full Throttle with Paul Deitel: A One-Day, Fast-Paced, Code-Intensive Python </li>
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<li>11/19/19—Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies</li>
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<li>12/10/19—Python Full Throttle with Paul Deitel: A One-Day, Fast-Paced, Code-Intensive Python </li>
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<li>12/17/19—Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies </li>
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<li>January and Feburary course schedule coming soon.</li>
<h1id="Python-for-Programmers-on-Safari-Online-Learning"><ahref="https://learning.oreilly.com/library/view/python-for-programmers/9780135231364/"><strong>Python for Programmers</strong> on Safari Online Learning</a><aclass="anchor-link" href="#Python-for-Programmers-on-Safari-Online-Learning">¶</a></h1><p><ahref="https://learning.oreilly.com/library/view/python-for-programmers/9780135231364/"><imgalt="Python for Programmers cover" src="./images/PyFPCover.png" width="200" border="1"/></a></p>
<h1id="Our-Python-Textbook-for-College-Courses">Our Python Textbook for College Courses<aclass="anchor-link" href="#Our-Python-Textbook-for-College-Courses">¶</a></h1><p><ahref="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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