在Python中操作文件之seek()方法的使用教程
seek()方法在偏移设定该文件的当前位置。参数是可选的,默认为0,这意味着绝对的文件定位,它的值如果是1,这意味着寻求相对于当前位置,2表示相对于文件的末尾。
没有返回值。需要注意的是,如果该文件被打开或者使用'a'或'A+'追加,任何seek()操作将在下次写撤消。
如果该文件只打开使用“a”的追加模式写,这种方法本质上是一个空操作,但读使能(模式'a+'),它仍然在追加模式打开的文件非常有用。
如果该文件在文本模式下使用“t”,只有tell()返回的偏移开都是合法的。使用其他偏移会导致不确定的行为。
请注意,并非所有的文件对象都是可搜索。
语法
以下是seek()方法的语法:
fileObject.seek(offset[, whence])
参数
- offset -- 这是在文件中,读/写指针的位置。
- whence -- 这是可选的,默认为0,这意味着绝对的文件定位,其它的值是1,这意味着寻求相对于当前位置,2表示相对于文件的末尾。
返回值
此方法不返回任何值。
例子
下面的例子显示了seek()方法的使用。
#!/usr/bin/python # Open a file fo = open("foo.txt", "rw+") print "Name of the file: ", fo.name # Assuming file has following 5 lines # This is 1st line # This is 2nd line # This is 3rd line # This is 4th line # This is 5th line line = fo.readline() print "Read Line: %s" % (line) # Again set the pointer to the beginning fo.seek(0, 0) line = fo.readline() print "Read Line: %s" % (line) # Close opend file fo.close()
当我们运行上面的程序,它会产生以下结果:
Name of the file: foo.txt Read Line: This is 1st line Read Line: This

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

Google AI has started to provide developers with access to extended context windows and cost-saving features, starting with the Gemini 1.5 Pro large language model (LLM). Previously available through a waitlist, the full 2 million token context windo

How to download DeepSeek Xiaomi? Search for "DeepSeek" in the Xiaomi App Store. If it is not found, continue to step 2. Identify your needs (search files, data analysis), and find the corresponding tools (such as file managers, data analysis software) that include DeepSeek functions.

The key to using DeepSeek effectively is to ask questions clearly: express the questions directly and specifically. Provide specific details and background information. For complex inquiries, multiple angles and refute opinions are included. Focus on specific aspects, such as performance bottlenecks in code. Keep a critical thinking about the answers you get and make judgments based on your expertise.

.NET 4.0 is Microsoft's software development platform that provides a framework and toolset for building a variety of applications, including web, desktop, and mobile applications. Its features include: Parallel Programming Library (TPL) Parallel LINQ (PLINQ) Dynamic Language Runtime (DLR) Silverlight 5Windows Communication Foundation (WCF) 4.0. Benefits include: Performance improvements Code reusability Cross-platform support Developer-friendliness Security.

Just use the search function that comes with DeepSeek. Its powerful semantic analysis algorithm can accurately understand the search intention and provide relevant information. However, for searches that are unpopular, latest information or problems that need to be considered, it is necessary to adjust keywords or use more specific descriptions, combine them with other real-time information sources, and understand that DeepSeek is just a tool that requires active, clear and refined search strategies.

Browser plug-ins are usually written in the following languages: Front-end languages: JavaScript, HTML, CSS Back-end languages: C++, Rust, WebAssembly Other languages: Python, Java

DeepSeek is not a programming language, but a deep search concept. Implementing DeepSeek requires selection based on existing languages. For different application scenarios, it is necessary to choose the appropriate language and algorithms, and combine machine learning technology. Code quality, maintainability, and testing are crucial. Only by choosing the right programming language, algorithms and tools according to your needs and writing high-quality code can DeepSeek be successfully implemented.

Program performance optimization methods include: Algorithm optimization: Choose an algorithm with lower time complexity and reduce loops and conditional statements. Data structure selection: Select appropriate data structures based on data access patterns, such as lookup trees and hash tables. Memory optimization: avoid creating unnecessary objects, release memory that is no longer used, and use memory pool technology. Thread optimization: identify tasks that can be parallelized and optimize the thread synchronization mechanism. Database optimization: Create indexes to speed up data retrieval, optimize query statements, and use cache or NoSQL databases to improve performance.
