Part 1: The Data Science Landscape – Open Source to the Rescue

In this section, you'll learn about the most common open source software used for data science, the changes that are happening, and how to make use of them. You'll get hands-on with managing packages in a world with new options every day. You'll get a firm understanding of Anaconda and its tools, and how they enable you to work more efficiently.

This section includes the following chapters:

  • Chapter 1, Understanding the AI/ML Landscape
  • Chapter 2, Analyzing Open Source Software
  • Chapter 3, Using Anaconda Distribution to Manage Packages
  • Chapter 4, Working with Jupyter Notebooks and NumPy

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