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This article mainly explains "what are the advantages of NumPy". Friends who are interested may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "what are the advantages of NumPy"?

Introduction of NumPy

How can learning data analysis be less than numpy, a powerful scientific computing library? As there are many knowledge points involved in this part, I intend to share it with you three times. Today, I will give you a preliminary understanding.

Numpy is the most frequently used third-party library in python, and it is also the basic library of data science such as Scipy/pandas, among which arrays are the most frequently used.

Array is actually a kind of data structure. In python, list (list), dict (dictionary), tuple (tuple), set (collection) and so on all belong to the data structure, and list is also an array.

Advantages of Numpy over lists

Let's talk about the list list first.

The elements in the list can be arbitrary objects, and the data is stored in memory in a decentralized manner, so there are as many pointers as there are in the list. In fact, the pointers of the elements are stored in the list, which are used to point to the memory address of the storage element.

But we only want to save the data, not to save the pointer, from the algorithm space and time optimization point of view, this occupies a lot of memory space, but also increases the amount of computation and time, which is a waste!

However, numpy can overcome these shortcomings, because numpy will store the data continuously in memory, and then use the vectorization instructions of modern cpu to calculate and load multiple consecutive floating point numbers in the register (in fact, I can't understand this, share it with you first, in case anyone understands it).

In addition, the matrix calculation in numpy can be multi-threaded and make full use of CPU computing resources to improve computing efficiency.

At this point, I believe you have a deeper understanding of "what are the advantages of NumPy?" you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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