The five common python library Introduction

In front of the words

Hello everyone! This is the first time CSDN blog, a lot of attention Oh! Carding system requires knowledge of the system, then I will stick to write down. Come on!

This article briefly describes five common python library, including numpy, scipy ,, allowing you to glance overview of python.

1、 Numpy

1. N-dimensional array (matrix), fast and efficient vector math;
2. Efficient Index, the elements do not need access cycle;
3. Free open source cross-platform, operating efficiency and sufficient C / Matlab comparable.

2、 Scipy

1. It depends on Numpy;
2. Designed for science and engineering;
3. Achieve a variety of commonly used scientific calculation: linear algebra, Fourier transform, signal and image processing.
   (Above the general decision of the general programmer's job is less than the Scipy)

3、 pandas

1. Structured data analysis tool (Numpy dependent);
2. It offers a variety of advanced data structures: Time-Series, DataFrame, Panel;
3. Powerful indexing and data processing capabilities.

4、Matplotlib

1. python 2D Drawing the field of the most widely used suite;
2. The basic drawing functions can replace Matlab (scattered points, curves, cylindrical, etc.);
3. bymplot3dYou can draw beautiful 3D chart.

5、 Scikit-learn

1. Machine Learning Python module;
2. Built on Scipy, it provides a common machine learning algorithms: clustering, regression;
3. Easy to learn API interface.

These are the contents of this section, thank you!