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Python的用途是什么？[关闭]

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问题：Python的用途是什么？[关闭]
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回答 1
为什么要学习Python编程语言？
Python编程语言用于什么？
Why should you learn Python Programming Language?
What is Python Programming Language used for?

问题：Python的用途是什么？[关闭]

Python的用途是什么？它的用途是什么？

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What is Python used for and what is it designed for?

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Python是一种动态的，强类型的，面向对象的，多用途编程语言，旨在快速（学习，使用和理解）并强制执行清晰统一的语法。

  1. Python是动态类型的：这意味着您无需为变量名声明类型（例如’integer’），然后分配该类型的内容（并且仅分配该类型）。取而代之的是，您拥有变量名，并将它们绑定到类型与实体本身相同的实体。a = 5使变量名a引用整数5。随后，a = "hello"使变量名a引用包含“ hello”的字符串。请先声明静态类型语言int a，然后再声明a = 5，但是赋值a = "hello"将是编译时错误。一方面，这使一切变得更加不可预测（您不知道a指的是什么）。另一方面，静态类型语言很难实现某些结果。
  2. Python是强类型的。这意味着if a = "5"（值为5的字符串）将保留为字符串，并且在上下文需要时绝不强制为数字。python中的每个类型转换都必须显式完成。这与Perl或Javascript不同，在Perl或Javascript中，您的输入类型较弱，并且可以编写诸如"hello" + 5get之类的东西"hello5"。
  3. Python是面向对象的，具有基于类的继承。一切都是对象（包括类，函数，模块等），从某种意义上讲，它们可以作为参数传递，具有方法和属性等。
  4. Python是多用途的：它不是专门针对特定的用户目标的（例如，R用于统计信息，PHP用于网络编程）。它通过模块和库进行了扩展，可以很容易地与C编程语言挂钩。
  5. Python 通过使缩进成为语法的一部分来实施代码的正确缩进。Python中没有控制括号。代码块由缩进级别标识。尽管对于许多不习惯此方法的程序员来说，这是一个很大的障碍，但它却是非常宝贵的，因为它提供了非常统一的样式，并且使代码在视觉上令人愉悦。
  6. 该代码被编译为字节代码，然后在虚拟机中执行。这意味着预编译的代码可在平台之间移植。

Python可以用于任何编程任务，从GUI编程到Web编程，介于两者之间。它的效率很高，因为它的大部分活动都是在C级别完成的。Python只是C语言之上的一层。这里有您可以想到的所有内容的库：游戏编程和openGL，GUI界面，Web框架，语义Web，科学计算…

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Python is a dynamic, strongly typed, object oriented, multipurpose programming language, designed to be quick (to learn, to use, and to understand), and to enforce a clean and uniform syntax.

  1. Python is dynamically typed: it means that you don’t declare a type (e.g. ‘integer’) for a variable name, and then assign something of that type (and only that type). Instead, you have variable names, and you bind them to entities whose type stays with the entity itself. a = 5 makes the variable name a to refer to the integer 5. Later, a = "hello" makes the variable name a to refer to a string containing “hello”. Static typed languages would have you declare int a and then a = 5, but assigning a = "hello" would have been a compile time error. On one hand, this makes everything more unpredictable (you don’t know what a refers to). On the other hand, it makes very easy to achieve some results a static typed languages makes very difficult.
  2. Python is strongly typed. It means that if a = "5" (the string whose value is ‘5’) will remain a string, and never coerced to a number if the context requires so. Every type conversion in python must be done explicitly. This is different from, for example, Perl or Javascript, where you have weak typing, and can write things like "hello" + 5 to get "hello5".
  3. Python is object oriented, with class-based inheritance. Everything is an object (including classes, functions, modules, etc), in the sense that they can be passed around as arguments, have methods and attributes, and so on.
  4. Python is multipurpose: it is not specialised to a specific target of users (like R for statistics, or PHP for web programming). It is extended through modules and libraries, that hook very easily into the C programming language.
  5. Python enforces correct indentation of the code by making the indentation part of the syntax. There are no control braces in Python. Blocks of code are identified by the level of indentation. Although a big turn off for many programmers not used to this, it is precious as it gives a very uniform style and results in code that is visually pleasant to read.
  6. The code is compiled into byte code and then executed in a virtual machine. This means that precompiled code is portable between platforms.

Python can be used for any programming task, from GUI programming to web programming with everything else in between. It’s quite efficient, as much of its activity is done at the C level. Python is just a layer on top of C. There are libraries for everything you can think of: game programming and openGL, GUI interfaces, web frameworks, semantic web, scientific computing…

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为什么要学习Python编程语言？

Python为编程世界提供了垫脚石。尽管Python编程语言已经存在25年了，但它仍在逐渐普及。Python的最大优点是

  • 易读易学
  • 生产力很高的项目，无论大小项目
  • 大图书馆可做很多事情

Python编程语言用于什么？

作为一种通用的编程语言，Python可以用于多种用途。Python可以轻松地用于小型，大型，在线和离线项目。利用Python的最佳选择是Web开发，简单的脚本编写和数据分析。以下是Python将为您提供帮助的一些示例：

Web开发：

您可以使用Python创建许多复杂级别的Web应用程序。有许多出色的Python Web框架，包括Pyramid，Django和Flask等。

数据分析：

Python是许多数据科学家首选的主要语言。由于Python具有出色的库，Python在该领域已变得越来越流行。NumPy和Pandas及其出色的数据可视化库，例如Matplotlib和Seaborn。

机器学习：

如果您可以根据前几年的数据预测客户满意度或分析哪些因素会影响家庭价格或预测未来几天的库存，该怎么办？有许多很棒的库实现了机器学习算法，例如Scikit-Learn，NLTK和TensorFlow。

计算机视觉：

您可以使用Opencv和Python进行许多有趣的事情，例如面部检测，颜色检测。

Raspberry Pi的物联网：

Raspberry Pi是一款非常小巧且价格适中的计算机，专为教育而开发，并凭借自己动手的硬件和自动化在业余爱好者中广受欢迎。您甚至可以建造一个机器人并使整个房屋自动化。Raspberry Pi可用作机器人的大脑，以执行各种动作和/或对环境做出反应。Raspberry Pi上的编码可以使用Python执行。可能性是无止境！

游戏开发：

使用模块Pygame创建视频游戏。基本上，您使用Python编写游戏逻辑。PyGame应用程序可以在Android设备上运行。

网页搜罗：

如果您需要从网站获取数据，但是该网站没有公开数据的API，请使用Python抓取数据。

编写脚本：

如果您要手动执行某项操作并希望自动执行重复性的工作（例如电子邮件），那么一旦了解了该语言的基础知识就可以轻松实现自动化。

浏览器自动化：

执行一些整洁的事情，例如打开浏览器并发布Facebook状态，您可以使用Python的Selenium来完成。

GUI开发：

使用Python模块Tkinter，PyQt构建GUI应用程序（桌面应用程序）以支持它。

快速原型制作：

Python拥有几乎所有内容的库。使用它可以快速构建（性能较低，但功能通常不那么强大的）原型。Python对于验证已建立的公司和初创企业的想法或产品也非常有用。

Python可以用于许多不同的项目。如果您是正在寻找一种新语言的程序员，那么您想要一种越来越流行的语言。作为编程的新手，Python是快速轻松学习的理想选择。

点击查看英文原文

Why should you learn Python Programming Language?

Python offers a stepping stone into the world of programming. Even though Python Programming Language has been around for 25 years, it is still rising in popularity. Some of the biggest advantage of Python are it’s

  • Easy to Read & Easy to Learn
  • Very productive or small as well as big projects
  • Big libraries for many things

What is Python Programming Language used for?

As a general purpose programming language, Python can be used for multiple things. Python can be easily used for small, large, online and offline projects. The best options for utilizing Python are web development, simple scripting and data analysis. Below are a few examples of what Python will let you do:

Web Development:

You can use Python to create web applications on many levels of complexity. There are many excellent Python web frameworks including, Pyramid, Django and Flask, to name a few.

Data Analysis:

Python is the leading language of choice for many data scientists. Python has grown in popularity, within this field, due to its excellent libraries including; NumPy and Pandas and its superb libraries for data visualisation like Matplotlib and Seaborn.

Machine Learning:

What if you could predict customer satisfaction or analyse what factors will affect household pricing or to predict stocks over the next few days, based on previous years data? There are many wonderful libraries implementing machine learning algorithms such as Scikit-Learn, NLTK and TensorFlow.

Computer Vision:

You can do many interesting things such as Face detection, Color detection while using Opencv and Python.

Internet Of Things With Raspberry Pi:

Raspberry Pi is a very tiny and affordable computer which was developed for education and has gained enormous popularity among hobbyists with do-it-yourself hardware and automation. You can even build a robot and automate your entire home. Raspberry Pi can be used as the brain for your robot in order to perform various actions and/or react to the environment. The coding on a Raspberry Pi can be performed using Python. The Possibilities are endless!

Game Development:

Create a video game using module Pygame. Basically, you use Python to write the logic of the game. PyGame applications can run on Android devices.

Web Scraping:

If you need to grab data from a website but the site does not have an API to expose data, use Python to scraping data.

Writing Scripts:

If you’re doing something manually and want to automate repetitive stuff, such as emails, it’s not difficult to automate once you know the basics of this language.

Browser Automation:

Perform some neat things such as opening a browser and posting a Facebook status, you can do it with Selenium with Python.

GUI Development:

Build a GUI application (desktop app) using Python modules Tkinter, PyQt to support it.

Rapid Prototyping:

Python has libraries for just about everything. Use it to quickly built a (lower-performance, often less powerful) prototype. Python is also great for validating ideas or products for established companies and start-ups alike.

Python can be used in so many different projects. If you’re a programmer looking for a new language, you want one that is growing in popularity. As a newcomer to programming, Python is the perfect choice for learning quickly and easily.