10 recommended courses on Python regularity

This article mainly introduces the method of Python regular capture of NetEase news, combined with examples, a more detailed analysis of the implementation skills and precautions related to Python's use of regular rules to capture NetEase news. Friends in need can refer to this article. The example describes how Python regularly captures NetEase news. I share it with you for your reference. The details are as follows: I wrote some crawlers to crawl NetEase news, and found that the source code of the webpage did not match the comments on the webpage. Therefore, I used a packet capture tool to hide the comments. Address (each browser has its own packet capture tool, which can be used to analyze the website). If you observe carefully, you will find that there is a special one, then this is what you want. Then open the link to find the relevant address. Comment content. (The picture below shows the content of the first page) Next is the code (also rewritten according to the master's modification). #coding=utf-8 import urllib2 import re import json import time class WY():1.

1. Recommended articles about NetEase News

##Introduction: This article mainly introduces the method of Python regular grabbing NetEase news, combined with examples, a more detailed analysis of the relevant implementation skills and precautions for using regular rules to capture NetEase news in Python. It is necessary Friends can refer to the example in this article to describe the method of Python regular grabbing of NetEase news. I share it with you for your reference. The details are as follows: I wrote some crawlers to crawl NetEase news, and found that the source code of the webpage did not match the comments on the webpage. Therefore, I used a packet capture tool to hide the comments. Address (each browser has its own packet capture tool,...

2. Recommended 10 articles about non-greedy

Introduction: This article mainly introduces relevant information about the greedy/non-greedy characteristics of Python regular expressions. It is introduced through sample code. It is very detailed and has certain reference value for everyone. Friends who need it can take a look below. I have briefly introduced the basics and capture of Python regular expressions before, so in this article, I will summarize the regular expressions. Greedy/non-greedy characteristics. By default, regular expressions will perform greedy matching. The so-called "greedy" actually selects the longer one among the matching strings of multiple lengths. For example, as follows. ..

##3.

Complete Guide to Regular Expressions in Python

##Introduction: Regular expression processing of text is like a strong wind sweeping autumn leaves. Most programming languages ​​have built-in support for regular expressions. It is used in scenarios such as form validation, text extraction, and replacement. The following is for everyone. Here comes the python regular expression guide, friends who need it can refer to it

4.

More detailed Python regular expression operation guide

Introduction: Python has added the re module since version 1.5, which provides Perl-style regular expression patterns through regex. The module provides Emecs-style mode. Emacs-style mode is slightly less readable and less powerful, so try not to use the regex module when writing new code. Of course, you may still find traces of it in old code ##.

#5. Detailed explanation of Python's regular greedy and non-greedy characteristics

##Introduction: This article mainly introduces the relevant information about the greedy/non-greedy characteristics of Python regular expressions. The article introduces it in detail through example code, which has certain reference value for everyone. Friends who need it can join us below. Let’s take a look.

##6.

Python Capture Regular Expressions

Introduction: What is capture? After using parentheses to specify a subexpression, the text matching this subexpression (that is, the matched content) can be used in expressions or other processes. The following article mainly introduces the capture in Python regular expressions. For relevant information, friends in need can refer to it.

7. Python Basics Regular Expressions

##Introduction: Regular expressions are not part of Python. Regular expressions are a powerful tool for processing strings. They have their own unique syntax and an independent processing engine. They may not be as efficient as str's own method, but they are very powerful. The following article mainly introduces relevant information about the basics of Python regular expressions. Friends in need can refer to it.

8. Share a simple code example of Python regular expression

##Introduction: This article mainly introduces simple examples of Python regularity, and specifically analyzes the problems and related precautions encountered in Python's simple regularity matching test for strings. Friends in need can refer to the following

9.

Python code example for grabbing NetEase news

# #Introduction: This article mainly introduces the method of Python regular capture of NetEase news, combined with examples, a more detailed analysis of the implementation skills and precautions related to Python's use of regular rules to capture NetEase news. Friends in need can refer to the following

10.

Seven Python regular expression usage examples

Introduction: As a concept, regular expressions are not unique to Python. However, there are still some minor differences in the actual use of regular expressions in Python. This article is a series about Python regular expressions

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