As for TensorFlow, it's a Python-friendly open source library invented by the Google Brain team for high-performance numerical computation. It makes machine learning faster and deep learning easier with the Python-based convenient frontend API and high-performance C++ based backend execution. Plus, it allows easy deployment of computation across CPUs and GPUs, which empowers expensive and large-scale machine learning. In this book, we focus on CPU as our computation platform. Hence, according to https://www.tensorflow.org/install/, installing TensorFlow is done via the following command line:

pip install tensorflow

There are many other packages we'll be using intensively, for example, Matplotlib for plotting and visualization, Seaborn for visualization, NLTK for natural language processing, and PySpark for large-scale machine learning. We'll provide installation details for any package when we first encounter it in this book.