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This is the repository for my Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies live training on O'Reilly Online Learning https://learning.oreilly.com/live-events/python-data-science-ai-full-throttle-with-paul-deitel-introductory-ai-big-data-cloud-genai-case-studies/0642572313494/0642572313487/

We're working on the second editions of our Python books and videos now. Early access to some of those new materials will be available to you through this course and eventually my Python Fundamentals LiveLessons Sneak Peek. We're updating the videos in place in the current product at: https://learning.oreilly.com/course/python-fundamentals-with/9780135917411/

Download or clone this repository's contents onto your system. These files are for your personal use and may not be redistributed or reposted.

If you want to run the code, keep in mind that various examples require API keys that you'll need to acquire and add to the files. The notebooks indicate which keys you need and where to get them.

This folder contains conda environment definitions and setup scripts for running the notebooks locally. There are two configurations:

The setup scripts are the recommended way to install. They create the conda environment from the appropriate .yml file, then automatically run all required post-install steps (spaCy models, TextBlob corpora, NLTK data).

• Conda — Anaconda or Miniconda
• Git — required by pip to install any packages directly from GitHub
• Mac ARM only: Xcode Command Line Tools — run xcode-select --install if you have not done so already

Open a Terminal and run:

bash setup-mac-arm.sh

The script will:

1. Create (or update) the pydsft conda environment from environment-mac-arm.yml
2. Download the three spaCy English models (sm, md, lg)
3. Download the TextBlob corpora
4. Download the NLTK datasets (punkt, punkt_tab, wordnet, stopwords)
5. Run a smoke test confirming scikit-learn, TensorFlow, PySpark, and spaCy all import correctly

Once complete, activate the environment and launch JupyterLab:

conda activate pydsft
jupyter lab

Open an Anaconda PowerShell Prompt and run:

.\setup-win-x64.ps1

If you see an execution policy error, run this once first, then retry:

Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

The script performs the same steps as the Mac script (see above).

Once complete, activate the environment and launch JupyterLab:

conda activate pydsft
jupyter lab

If you have any questions, open an issue in the Issues tab or email us: deitel at deitel dot com.

[NEW EDITIONS UNDER DEVELOPMENT] 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.

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The authors and publisher of this material have used their best efforts in preparing this material. 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 material. 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.