This chapter establishes the groundwork for using PyTorch. We begin by setting up the necessary software and environment configuration. The primary focus then shifts to PyTorch's fundamental data structure: the Tensor.

You will learn how to:

• Install PyTorch using common package managers.
• Configure a development environment suitable for PyTorch projects.
• Understand what Tensors are and their role in PyTorch.
• Create Tensors from existing data or according to specific dimensions.
• Perform essential mathematical and manipulation operations on Tensors.
• Recognize the connection between PyTorch Tensors and NumPy arrays, including conversion methods.

By the end of this chapter, you will have a functional PyTorch installation and a solid grasp of basic Tensor operations, preparing you for subsequent topics.