Автор: Steve Tudor
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 232
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB
Python programming for beginners collection.
Python is basically an incredibly useful and powerful language. It’s present essentially everywhere. Everything from the scripting side of video games (or the video games themselves) to intensive server-side web applications to the plethora of deep and responsive desktop applications that have been built with it. When should you use Python? The answer depends upon exactly what you’re going to do. But since you’re a beginner, I say you should learn anyway.
As you continue to grow as a programmer after this book, you’re going to learn when you should and shouldn’t use Python just as a matter of intuition. Python is an absolutely fantastic language, but the place where it fails is when you have to get extremely close to a computer’s hardware or write incredibly efficient programs. In these areas, Python doesn’t excel.
However, that’s not to say it doesn’t have its perks. In fact, I’d say that’s one of the few places that Python falls flat. And what it lacks there, it makes up for in other areas. For example, development time in Python is generally extremely low in comparison to other languages. This is super easy to illustrate. Compare the following excerpts of code, the first from C++, the second from Java, and the last from Python.
Now that you know the basics of loading and preprocessing data with the help of pandas, we can move on to data processing with NumPy. The purpose of this stage is to have a data matrix ready for the next stage, which involves supervised and unsupervised machine learning mechanisms. NumPy data structure comes in the form of ndarray objects, and this is what you will later feed into the machine learning process. For now, we will start by creating such an object to better understand this phase.
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