在网上也搜了一点东西,但是回答的都不满意。其实我就是想知道Python应用场景在哪里?优势又在哪里?
回复内容:
会写Python以后,你一个人就能干他们五个人的活,只费十倍的CPU,多不到一倍的bug。非量化分析,纯粹向英俊挺拔的 C艹少年,不愿意透露姓名的著名业内人士 @vczh 致敬。 学Python ---> 赚钱 ---> 娶媳妇 ---> 生孩子 ---> 养大他 ---> 学Python 能用钱【堆CPU】换时间【开发效率/debug效率】然后获得更多的钱【工资/利润】
不过php似乎能过得更好【微笑】 严肃的回答
web开发,各种web框架,tornado,flask,django,比如douban就是python开发的;
测试,运维,包括自动化测试呀,自动化运维呀,替代shell,当然熟练使用shell,在运维的路上效率也很快;
安全领域;
运营系统,比如我当初在的微信就是用的python开发的运营系统,他们竟然用FastCGI;
网络,各种代理,比如GoAgent;
游戏客户端,据说现在很多游戏客户端图形化这块也在用Python
为什么呢?
Life is short, Using Python 第一,如果你只是想找工作,鉴于目前国内也有许多创业公司使用python来写服务器后台,只要你对web开发感兴趣并有良好的python技能,想找一份薪酬客观的工作并不困难;
第二,如果你致力于学术研究,那么python的数学库、科学库将会成为你的好伙伴,上手容易,让你一定程度上能够摆脱来自matlab、mathmatica的困扰;
第三,如果你活跃于开源界,那么我们乐于在pypi上看到你提供的精彩使用的库;
第四,如果你成为别的领域的大牛,当一个精致的算法偶然从你脑海中闪过,那么用python快速写下它记录想法会是好主意,大概你琢磨用C++实现的时候灵光已逝。 日常做个小东西开发速度很快。
numpy+pandas数据分析也蛮方便。
机器学习三大主流工具之一。
写多了python。
你就再也不会写程序了。QAQ

当然要学,和JAVA和PHP一样,还要去北大青鸟哦! 人生苦短,我用Python 请参见Quora的回答:Question on @Quora: Is it true that Python is a dying language? http://qr.ae/RHwWxi
补充两句,谷歌的搜索算法就是用python 做的,百度也同样在采用python 作为部分项目的开发语言,你可以自己去查一下资料。最直接的就是去拉勾网搜职位 写起来爽,读起来被爽。
充分满足各种抖s和抖m的各类需求。

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


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