程序師世界是廣大編程愛好者互助、分享、學習的平台,程序師世界有你更精彩!
首頁
編程語言
C語言|JAVA編程
Python編程
網頁編程
ASP編程|PHP編程
JSP編程
數據庫知識
MYSQL數據庫|SqlServer數據庫
Oracle數據庫|DB2數據庫
您现在的位置: 程式師世界 >> 編程語言 >  >> 更多編程語言 >> Python

Ten Python quality libraries you need to master in 2022

編輯:Python

In the programming language Python Provides some amazing features , Such as easy to learn and understand , Enhanced security and performance . It includes modules , packing , And function library , therefore It plays an important role in maintaining the order of the project and providing power for different processes . The module consists of . py The name of the function saved with the extension python file . Packaging is a collection of modules . A collection of code libraries with the same functions .

Don't you know ? that , hypothesis , We have a document , It has a function about addition .py Extension . This file is called a component . Each set of files with independent functions is called a wrapper . A separate document , There are functions for various operations , Called a function library .python There are many packages in that can make complex processes simple without trouble .

We will discuss 2022 What we need to learn in 2010 10 Big Python library . Let's get started .

1.Pandas

Pandas representative “Python Data analysis library ”. If you are a person who likes Data Science 、 machine learning 、 Data analysis you must use this package , Because it is widely used in data operation and Analysis . It has a wide range of functions , It can effectively process a large amount of data . It is very suitable for different kinds of data tables 、SQL or Excel、JSON And allows you to import data .

2.NumPy

NumPy It is the basic library of scientific computing and array processing . image TensorFlow Such libraries are used on the back end NumPy To operate . It handles linear algebra very effectively 、 Random number and Fourier transform . It also acts as a multidimensional container for data of any data type .NumPy The main features of :

  • Powerful N Dimensional array object .
  • Integrate C/C++ and Fortran Off the shelf tools for code .
  • Easy to learn and easy to use .

3.TensorFlow

TensorFlow Also known as “ Google ” product , Because it was developed by Google . It provides a set of workflow computer programming languages for developing and training models , And no matter what language you use , Can be in the cloud 、 Local 、 Easy deployment in browser or on device . The action has three steps to load and preprocess data , structure 、 Training and reuse models , And deployment . It has a high degree of scalability 、 Compatibility , And help build models easily .

4.Pywin32

Pywin32 Is a necessary software package , Especially for WindowsPython Programming . It provides for many native Windows API Function access , Allows you to perform tasks such as Windows Registry interaction 、 Use Windows Clipboard and other operations . It gives you access to Win32 Application programming interface (API) Computer programming language . It can only be found in 32 Bit processor Windows Running on the system .

5.PyTest

The software package has various modules , Used to test new code , Including small unit test and complex function test of application . It helps for API、 Database and ui Write simple and scalable test cases .Pytest It is a good tool to test your program . Some of the features of the framework are :

  • Built in support for test discovery .
  • Extensive plug-in architecture .
  • Combined fixture for test device .

6.Requests

It allows you to web Exchange requests in a more responsive and user-friendly manner on HTTP( Hypertext transfer protocol ).HTTP As a request between the client and the server - Respond to . This package provides intuitive JSON Method can help you avoid manually adding URL Add query string . You can check 、 To configure 、 Authorization and configuration HTTP request , Upload multiple files at the same time , Automatically decompress data . You can use various methods , Like publishing 、 Delete 、 repair 、 place 、 obtain 、 title . In short , If your application passes HTTP Send any data ,Request It's a necessary bag .

7.Seaborn

Just a few lines of code , You can use Seaborn. You can easily create complex heat maps 、 Violin chart 、 Union map 、 Multi graph grid , And many other types of drawings . It provides beautiful default styles and palettes , Make the statistical chart more attractive . It is built on the top of the mountain matplotlib library, And tightly integrated into Pandas .

8.MoviePy

This library will import 、 Public tasks such as modifying and exporting video files are linked . You can insert a title into the video or rotate the video 90 degree .MoviePy It aims to make visualization a core part of exploring and understanding data . Provides data set oriented API, So we can switch between different visual representations of the same variable , To better understand the dataset .

9.Pendulum

When you have to deal with dates and times and don't want complex code , You can use this library . It automatically manages time zones , Designed to replace DateTime. This is a cleaner 、 Easier to use API The way . It simplifies complex date manipulation problems involving time zones , These time zones are local DateTime Cannot handle correctly in the instance .

10.Matplotlib

Matplotlib It is the basic visual function library for everything else . This can be used to create something like a line chart 、 Histogram 、 Scatter plot 、 Bar charts and pie charts . Using this library, you can easily create animation and interactive visualization . It provides great flexibility for formatting and stylizing drawings . It allows you to freely choose how to display labels 、 grid 、 Legend, etc . However , To create complex and visually appealing plots , You need to write a lot of code .

 


  1. 上一篇文章:
  2. 下一篇文章:
Copyright © 程式師世界 All Rights Reserved