Python is an open source numerical calculation extension tool, which provides Python's support for multidimensional arrays and can support advanced dimensional arrays and matrix operations. In addition, it also provides a large number of mathematical function libraries for array operations. Numpy is the basis of most Python scientific calculations and has many functions.

2. Panda Library

Is a data analysis package based on Numpy, which was created to solve the data analysis task. Pandas contains a large number of libraries and standard data models, and provides the functions and methods needed to operate large data sets efficiently, so that users can process data quickly and conveniently.

3.Matplotlib library

Is a 2D graphics library for drawing arrays in Python. Although it originated from imitating MATLAB graphic commands, it is independent of MATLAB and can be used in Python and object-oriented way. It is the best graphic library in Python. Mainly written in pure Python language, extensive use of extended codes such as Numpy, even large arrays can provide good performance.

4.Seaborn library

Is a data visualization tool based on Matplotlib in Python, which provides many advanced encapsulation functions to help data analysts draw beautiful data graphs quickly, thus avoiding many additional parameter configuration problems.

5. National Library Library

Known as the best tool for teaching and computational linguistics using Python, and the magic library for playing games in natural language. NLTK is a leading platform for building Python programs using human language data. It provides an easy-to-use interface for more than 50 corpora and vocabulary resources, a set of text processing libraries for classification, tagging, stemming, parsing and semantic reasoning, a wrapper for NLP libraries and an active discussion community.