The differences between print in Python2 and Python3
The print() method is provided in both Python2 and Python3 to print information, but the print between the two versions is slightly different
Mainly reflected in the following aspects:
1. In python3, print is a built-in function, and there are many parameters, and print in python2 is a grammatical structure;
2. Python2 can print without parentheses: print 'hello world', Python3 requires parentheses print("hello world")
3. In Python2, input The input string must be quoted. In order to avoid some behaviors that occur when reading non-string types, you have to use raw_input() instead of input()
1. In python3, perhaps developers feel that print has two functions at the same time. The identity was a little uncomfortable, so I only kept the identity of the function:
>>> print 'pythontab.com' SyntaxError: Missing parentheses in call to 'print'
So you must use parentheses for print in python3, because it is a function.
2. The print function in python3 has multiple parameters. The function prototype is as follows:
print(value1, ..., sep=' ', end='\n', file=sys.stdout, flush=False)
As can be seen from the above method prototype,
1. print can support multiple parameters and support printing multiple strings at the same time ( Among them... represents any number of strings);
2. sep represents what characters are used to connect multiple strings;
3. end represents what characters are added to the end of the string. You can easily set up printing by pointing to this parameter. Without line breaks, the print statement under Python 2. But under Python 3.x, print() becomes a built-in function, and the old method of adding "," will not work.
>>> print("python", "tab", ".com", sep='') pythontab.com >>> print("python", "tab", ".com", sep='', end='') #就可以实现打印出来不换行 pythontab.com
3. The pitfall of input in Python2
print ("what do you like") a = input("Enter any content:") print ("i like",a)
An error will be reported when entering a string, but this problem is solved well in python3.

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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Dealing with noisy images is a common problem, especially with mobile phone or low-resolution camera photos. This tutorial explores image filtering techniques in Python using OpenCV to tackle this issue. Image Filtering: A Powerful Tool Image filter

PDF files are popular for their cross-platform compatibility, with content and layout consistent across operating systems, reading devices and software. However, unlike Python processing plain text files, PDF files are binary files with more complex structures and contain elements such as fonts, colors, and images. Fortunately, it is not difficult to process PDF files with Python's external modules. This article will use the PyPDF2 module to demonstrate how to open a PDF file, print a page, and extract text. For the creation and editing of PDF files, please refer to another tutorial from me. Preparation The core lies in using external module PyPDF2. First, install it using pip: pip is P

This tutorial demonstrates how to leverage Redis caching to boost the performance of Python applications, specifically within a Django framework. We'll cover Redis installation, Django configuration, and performance comparisons to highlight the bene

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

This tutorial demonstrates creating a custom pipeline data structure in Python 3, leveraging classes and operator overloading for enhanced functionality. The pipeline's flexibility lies in its ability to apply a series of functions to a data set, ge

Python, a favorite for data science and processing, offers a rich ecosystem for high-performance computing. However, parallel programming in Python presents unique challenges. This tutorial explores these challenges, focusing on the Global Interprete
