Source code and Jupyter Notebooks files for my "Python Full Throttle" live training course:
The links below will take you to the course page. If you registered/attended that session, that page is where you can access the archived video.
- May 30, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920289395 - June 24, 2019:
https://learning.oreilly.com/live-training/courses/python-r-full-throttle-with-paul-deitel/0636920281498 - July 22, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920305385/ - August 19, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920305484/ - September 16, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920296157/ - October 15, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920321477/ - November 12, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920322351/ - December 10, 2019:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920322405/ - January 14, 2020:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920358121/ - February 11, 2020:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920358169/ - March 10, 2020:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920373063/ - April 14, 2020:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920375579/ - May 12, 2020:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920389224/ - June 9, 2020:
https://learning.oreilly.com/live-training/courses/python-full-throttle-with-paul-deitel/0636920407300/
I'll keep this repository up-to-date with any changes I make for future presentations.
These files are for your personal use and may not be redistributed or reposted.
If you have any questions, open an issue in the Issues tab or email us: deitel at deitel dot com.
Copyright 2020 by Deitel & Associates, Inc. and Pearson Education, Inc. All Rights Reserved.
If you intend to execute code in parallel with me during the live training (which you don't need to do, but can), you'll want to do one of the following:
- Install the Anaconda Python Distribution for Python 3.7 at https://www.anaconda.com/distribution/#download-section
- If you prefer, you can use Docker:
docker run -p 8888:8888 -it --user root -v fullPathTo/PythonFullThrottle:/home/jovyan/work jupyter/scipy-notebook:latest start.sh jupyter lab
In #2, be sure to replace fullPathTo/PythonFullThrottle with the actual location where you download my code on your system.
The content of this course is based on our book Python for Programmers, which is a subset of our book Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud.
The authors and publisher of this book have used their best efforts in preparing this book. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The authors and publisher make no warranty of any kind, expressed or implied, with regard to these programs or to the documentation contained in this book. The authors and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs.