Home Backend Development Python Tutorial Eclipse中Python开发环境搭建简单教程

Eclipse中Python开发环境搭建简单教程

Jun 10, 2016 pm 03:05 PM

一、背景介绍

  Eclipse是一款基于Java的可扩展开发平台。其官方下载中包括J2EE方向版本、Java方向版本、C/C++方向版本、移动应用方向版本等诸多版本。除此之外,Eclipse还可以通过安装插件的方式进行诸如Python、Android、PHP等语言的开发。

  Eclipse+PyDev插件是最主流的Python开发环境了,本文将要介绍的就是使用Eclipse与PyDev插件。

二、Python安装

Python的安装共分为三个步骤:下载python、配置环境变量、测试安装成功。

(1)下载python:在网速不好的情况下,国外服务器上的很难下载。可以直接在百度中搜Python安装,有一个百度软件提供的最新版的python安装包,下载选择安装目录,一路next即可。

(2)配置环境变量:个人感觉Win8中新建环境变量非常不错哦。

(3)测试安装成功。命令:python -V (V是大写V)

三、插件PyDev安装

插件PyDev的安装有两种方式:在线安装和离线安装。(安装的前提是本机已经正确安装Eclipse)

(1)在线安装,通过site地址:http://pydev.sourceforge.net/updates。选择PyDev for Eclipse一路Finish安装即可。重启Eclipse,在Window->preference->PyDev->Interpreter->Python Interpreter(翻译器')中指向本机所安装的Python。

(2)离线安装

四、测试Demo演示

通过简单的一个爬虫小实例,看看环境是不是OK。

// 代码的实现,通过加如下的js代码到首页 index.html中。
<script type="text/javascript">
       function IsPhone() {
         var userAgentInfo = navigator.userAgent;
          var Agents = ["Android", "iPhone","SymbianOS", "Windows Phone","iPad", "iPod"];
         var flag = true;
         for (var v = 0; v < Agents.length; v++) {
             if (userAgentInfo.indexOf(Agents[v]) > 0) {
             flag = false;
             break;
             }
         }
         return flag;
       }
       if (IsPhone()) { 
         window.location ="https://www.qmcaifu.com";
       };
    </script>
Copy after login

根据代码,看结果,测试成功。

好了,如何在Eclipse中搭建Python开发环境就为大家介绍到这里,希望对大家的学习有所帮助。

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1657
14
PHP Tutorial
1257
29
C# Tutorial
1229
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

How Much Python Can You Learn in 2 Hours? How Much Python Can You Learn in 2 Hours? Apr 09, 2025 pm 04:33 PM

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

See all articles