Computer Vision Projects with OpenCV and Python 3
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Setting Up an Anaconda Environment

Welcome to Computer Vision Projects with OpenCV and Python 3. This book is one you might want to check out if you're new to OpenCV, and to computer vision in general. 

In this chapter, we will be installing all the required tools that we're going to use in the book. We will be dealing with Python 3, OpenCV, and TensorFlow. 

You might be wondering: why should I be using Python 3, and not Python 2? The answer to your question is on Python's own website:

"Python 2 is legacy, Python 3 is the present future of the language."

We are looking to the future here, and if we want to future-proof our code, it's better to use Python 3. If you're using Python 2, some of the code examples here might not run, so we'll install Python 3 and use that for all the projects in the book.

In this chapter, we will cover the following topics:

  • Introducing and installing Python and Anaconda
  • Installing the additional libraries
  • Exploring Jupyter Notebook