Most of the Python tutorials on the Internet are version 2.X. Compared with python3.X, python2.X has changed a lot. Many libraries are used differently. I installed python3.X. Let’s take a look at the details. Example 0x01 I had nothing to do during the Spring Festival (how free I was), so I wrote a simple program to read some jokes and record the process of writing the program. The first time I came into contact with crawlers was when I saw a post like this. It was a funny post about crawling photos of girls on Omelette. It was not very convenient. So I started to imitate cats and tigers and captured some pictures. Technology is inspiring the future. As a programmer, how can you do such a thing? It is better to make jokes that are more beneficial to your physical and mental health. 0x02 Before we roll up our sleeves and get started, let’s popularize some theoretical knowledge. To put it simply, we need to pull down the content at a specific location on the web page. How to pull it down? We must first analyze the web page to see which piece of content we need. For example, this time we crawled the jokes on the hilarious website. When we open the jokes page on the hilarious website, we can see a lot of jokes. Our purpose is to obtain these contents. Come back and calm down after reading it. If you keep laughing like this, we can't write code. In chrome,
1. Python implementation of network subpage crawler case
##Introduction: Most of the Python tutorials on the Internet are version 2.X. Compared with python2.X and python3.X, the changes are relatively large. The usage of many libraries is different. I installed python3.X. Let’s do it. Take a look at the detailed examples
2. Teach you how to install python2 and python3 versions in Windows environment
Introduction: This article mainly introduces the installation of python2.x and python3.x in the Windows (I use Win10) environment, as well as python2.x and python3 Configuration issues when .x coexist.
3. Detailed explanation of the difference between Python3.x and Python2.x
Introduction: Detailed explanation of the difference between Python3.x and Python2.x
4. Python2.x default encoding problem solution
Introduction: This article explains in detail how to solve the python2.x default encoding problem
5. Usage of functions map() and reduce() in Python
Introduction: This This article mainly introduces the usage of map() function and reduce() function in Python. The code is based on Python2.x version. Friends in need can refer to it
6. Summary of formatting methods for strings in Python
7.
Python How to set and use function parameters in Python
# Introduction: This article mainly introduces the function parameters in Python The study notes on setup and use record some differences related to function parameters in Python2.x and Python3.x. Friends in need can refer to
8.
Linux Installing third-party libraries for different versions of python Introduction: This article shares with you how the author installs third-party libraries for python2.x and python3.x under Linux. It is very practical. Friends who need it can refer to 9. python3 to make hilarious web page crawlers Introduction: Most of the Python tutorials on the Internet are version 2.X. Compared with python2.X and python3.X, the changes are relatively large, and the usage of many libraries is different. , I installed python3. How is Django made in Python? I installed python2.X and python3.X through brew. python2 has its own pip tool, but python3 does not have pip3 How to list derive two-dimensional arrays in python2.x? python2.7 - When handling errors in python, after executing the content under the except statement, is there a way to jump back to the place where the code went wrong and continue execution How to elegantly solve the elegant output of unicode encoding in python2.x? [Related Q&A recommendations]:
The above is the detailed content of Summary of points to note about Python2.x. For more information, please follow other related articles on the PHP Chinese website!

ThedifferencebetweenaforloopandawhileloopinPythonisthataforloopisusedwhenthenumberofiterationsisknowninadvance,whileawhileloopisusedwhenaconditionneedstobecheckedrepeatedlywithoutknowingthenumberofiterations.1)Forloopsareidealforiteratingoversequence

In Python, for loops are suitable for cases where the number of iterations is known, while loops are suitable for cases where the number of iterations is unknown and more control is required. 1) For loops are suitable for traversing sequences, such as lists, strings, etc., with concise and Pythonic code. 2) While loops are more appropriate when you need to control the loop according to conditions or wait for user input, but you need to pay attention to avoid infinite loops. 3) In terms of performance, the for loop is slightly faster, but the difference is usually not large. Choosing the right loop type can improve the efficiency and readability of your code.

In Python, lists can be merged through five methods: 1) Use operators, which are simple and intuitive, suitable for small lists; 2) Use extend() method to directly modify the original list, suitable for lists that need to be updated frequently; 3) Use list analytical formulas, concise and operational on elements; 4) Use itertools.chain() function to efficient memory and suitable for large data sets; 5) Use * operators and zip() function to be suitable for scenes where elements need to be paired. Each method has its specific uses and advantages and disadvantages, and the project requirements and performance should be taken into account when choosing.

Forloopsareusedwhenthenumberofiterationsisknown,whilewhileloopsareuseduntilaconditionismet.1)Forloopsareidealforsequenceslikelists,usingsyntaxlike'forfruitinfruits:print(fruit)'.2)Whileloopsaresuitableforunknowniterationcounts,e.g.,'whilecountdown>

ToconcatenatealistoflistsinPython,useextend,listcomprehensions,itertools.chain,orrecursivefunctions.1)Extendmethodisstraightforwardbutverbose.2)Listcomprehensionsareconciseandefficientforlargerdatasets.3)Itertools.chainismemory-efficientforlargedatas

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 English version
Recommended: Win version, supports code prompts!

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Dreamweaver CS6
Visual web development tools
