Technical requirements

In order to proceed through this chapter, and indeed the rest of the book, you will need the following:

• Since we’re switching to the topic of data science, I’ll be switching my preferred Python distribution to Anaconda, which is a Python distribution tailored to data science workloads. You can find it, along with installation instructions for your operating system at https://anaconda.com.
• Likewise, instead of the usual pip, I’ll be leveraging conda, which is Anaconda’s package manager. It is installed alongside Anaconda.
• An installed and working copy of PyCharm. Installation was covered in Chapter 2, Installation and Configuration, in case you are jumping into the middle of the book.

This book’s sample source code from GitHub. We covered cloning the code in Chapter 2, Installation and Configuration. You’ll find this chapter’s relevant code at https://github.com/PacktPublishing/Hands-On-Application...