search

Python入门

Jun 06, 2016 am 11:26 AM
Getting started with python

第一章 介绍
脚本语言是类似DOS批处理、UNIX shell程序的语言。脚本语言不需要每次编译再执行,并且在执行中可以很容易地访问正在运行的程序,甚至可以动态地修改正在运行的程序,适用于快速地开发以及完成一些简单的任务。在使用脚本语言时常常需要增的新的功能,但有时因为脚本语言本来就已经很慢、很大、很复杂了而不能实现;或者,所需的功能涉及只能用C语言提供的系统调用或其他函数——通常所要解决的问题没有重要到必须用C语言重写的程度;或者,解决问题需要诸如可变长度字符串等数据类型(如文件名的有序列表),这样的数据类型在脚本语言中十分容易而C语言则需要很多工作才能实现;或者,编程者不熟悉C语言:这些情况下还是可以使用脚本语言的。

在这样的情况下,Python可能正好适合你的需要。Python使用简单,但它是一个真正的程序语言,而且比shell提供了更多结构和对大型程序的支持。另一方面,它比C提供更多的错误检查,它是一个非常高级的语言,内置了各种高级数据结构,如灵活的数组和字典,这些数据结构要用C高效实现的话可能要花费你几天的时间。由于Python具有更一般的数据结构,它比Awk甚至Perl适用的范围都广,而许多东西在Python内至少和在这些语言内一样容易。

 

Python允许你把程序分解为模块,模块可以在其他Python程序中重用。它带有一大批标准模块可以作为你自己的程序的基础——或作为学习Python编程的例子。系统还提供了关于文件输入输出、系统调用、插座(sockets)的东西,甚至提供了窗口系统(STDWIN)的通用接口。

 

Python是一个解释性语言,因为不需要编译和连接所以能节省大量的程序开发时间。解释程序可以交互使用,这样可以可以很容易地试验语言的各种特色,写只用一次的程序,或在从底向上程序开发中测试函数。它也是一个方便的计算器。

 

Python允许你写出非常严谨而且可读的程序。用Python写的程序通常都比相应的C程序要短,因为如下几个理由:

  
高级的数据结构允许你用一个语句表达复杂的操作;   
复合语句是靠缩进而不是用表示开始和结束的括号;   
不需要变量声明或参量声明。  
Python是可扩充的:如果你会用C语言编程就很容易为解释程序增加新的内置函数或模块,这样可以以最快速度执行关键操作,或把Python程序和只能以二进制码提供的库(如不同厂商提供的图形库)连接起来。当你变得确实很在行时你可以把Python解释器与用C写的应用相连接,把它作为该应用的扩展或命令语言。 
Python的命名是由BBC的“Monty Python's Flying Circus”节目而得,与蟒蛇没有什么关系。

Statement
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
Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 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 vs. C  : Memory Management and ControlPython vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AM

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python for Scientific Computing: A Detailed LookPython for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AM

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Python and C  : Finding the Right ToolPython and C : Finding the Right ToolApr 19, 2025 am 12:04 AM

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python for Data Science and Machine LearningPython for Data Science and Machine LearningApr 19, 2025 am 12:02 AM

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python for Web Development: Key ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python vs. C  : Exploring Performance and EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

See all articles

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment