There seems to be some confusion for readers of Algorithms for Dummies, 2nd Edition, Beginning Programming with Python For Dummies, 3rd Edition, Machine Learning for Dummies, 2nd Edition, Python for Data Science for Dummies, and Machine Learning Security Principles lately due to the similarity of names of two Integrated Development Environments (IDEs) available now. Even though I’m sure that JupyterLite is a very good product, even the website states, “Not all the usual features available in JupyterLab and the Classic Notebook will work with JupyterLite, but many already do!” This lack of support becomes a problem when you try to run the downloadable source using JupyterLite. In addition, Luca and I haven’t tested the downloadable source with this product, so we can’t even tell you what will and won’t work.
The two supported IDEs for our books are Google Colab (recommended for those of you who want to use a mobile device) and Jupyter Notebook (recommended for those of you who have a desktop system). It’s actually preferred that you get Jupyter Notebook as part of the Anaconda toolset because Anaconda makes it very easy for you to perform some advanced setup tasks found in some of our books. For example, you gain access to the Anaconda prompt and the associated Conda utility that definitely makes it easier for you to manage some of the machine learning packages found in our books. Using either Google Colab or Jupyter Notebook makes it very much easier for Luca and I to help you with your book-specific questions.
Please let me know if you have any questions or concerns about how to setup your programming environment for our books at [email protected]. Remember to use the version of the products listed in the book for optimal results in working with the downloadable source. In addition, always remember to use the downloadable source to enhance your learning experience.
