During the last several decades, computing has emerged as a very important part of many fields. In fact, the curriculum of computer science in many schools, such as Stanford, UC-Berkeley, MIT, Princeton, Harvard, Caltech, and so on, has been revised to accommodate interdisciplinary courses because of this change. In most scientific disciplines, computational work is an important complement to experiments and theory. Moreover, a vast majority of experimental and theoretical papers involve some numerical calculations, simulations, or computer modeling.
Python has come a long way, and today the community of Python has grown to the extent that there are sources and tools to help write minimal code to accomplish almost everything that one may need in computing very efficiently. We could only pick a few working examples in this chapter, but in the following chapters, we will take a look at more examples.
