search
HomeBackend DevelopmentPython Tutorial微软的 C# 难学吗?和 Python 比起来

如题

回复内容:

c#是我的最爱,简单易用
与vs配合起来真是写得飞起。
1基本上不需要背太多东西。因而学起来非常简单。
2写c#的时候你的大部分精力是放在业务逻辑上的而不是程序逻辑。
3各种软件包种类繁多,引用方便
4与c,c++结合紧密,各种遗留问题解决方便

反正现实中凡是能用c#的地方我肯定用c# 兼顾易用性,深度和广度的语言,和.net适配性最好的语言。总结来说:易于上手,难于精通 C#已经是全世界靠谱的语言里面最容易学的了,学不会C#(不想学另算)基本上认为你不适合当程序员,还是卖烧饼好。 肯定是Python容易啊,不过C#也难不到哪去就是了 对于小白来说,难易程度都差不多了。对于有基础的程序员来说,难度在于编程习惯上。 c#的口号是idiots can code!虽然没学过,现在想来还是有点小后悔的,学编程的人总是难免有几天大骂自己是idiot,所以嘛。。。 如果只是入门,都挺简单的,
深入的话,c#也不容易了. 大概就是MT和AT的区别。 我认为C#是一种易于入门的编程语言,标准的面向对象编程,完善强大的开发环境,健康丰富的开发者社区,大量优秀的牛人博客,这些决定了学习C#的难度不大,至少入门很轻松。
Python是我打算学习的编程语言,它的理念是快速编程,自由实现。在解决细小问题时,Python往往可以让开发者寥寥数行实现。在网络爬虫、数据收集、数据分析方面,Python都大有可为。
老实说,这两种语言的学习难度(入门)都不算大。
祝题主学有所成! 静态语言好处之一是坑少,不会动不动冒出来你都不知道是什么类型的东西。缺点是也显而易见的,就是折腾不同类型的适配,转换。
c#本身不难,但是ms体系感觉比较复杂。用了c#就很难不用.net windows sql server等
然后就绑死了,社区的东西基本不是首选。然后跟着ms混。
当然,全部自己造轮子,有那个精力和能力另说。
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  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.

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

Video Face Swap

Video Face Swap

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

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools