《python编程从入门到实践》最基础知识点和python之禅

本文介绍了Python中字符串的各种操作方法,包括大小写转换、合并、制表与换行、空格去除、类型转换等,并引用了Tim Peters的Python之禅,强调了Python编程的哲学理念。

#将首字母大写 title(),比如:

name="adv lace"

print(name.title())

#将字符串全部大写upper(),比如:

name1="aDv Lace"

print(name1.upper())

#将字符串全部小写lower(),比如:

name2="aDv Lace"

print(name2.lower())

#合并字符串+,比如

first_name="rose"

last_name="luyi"

full_name=first_name+" "+last_name

print(full_name)

#制表符TAB(\t)和换行符(\n),比如:

print("Language:\n\tC\tC#\tC++\n\tJava\n\tPython\n\tPHP")

#删除字符串左边所有空格lstrip(),比如:

favourite_language=" python "

print(favourite_language.lstrip())

#删除字符串右边所有空格rsrip(),比如:

print(favourite_language.rstrip())

#字符串中需使用非字符串时,需要用str()转为字符串,比如:

age=23

print("Happy "+str(age)+"rd Birthday!")

#python之禅

import this

"""

The Zen of Python, by Tim Peters Tim Peters的Python之禅

 

Beautiful is better than ugly. 优美胜过丑陋。

Explicit is better than implicit. 显式胜于隐式。

Simple is better than complex. 简单胜于复杂。

Complex is better than complicated. 复杂胜于难懂。

Flat is better than nested. 扁平胜于嵌套。

Sparse is better than dense. 稀疏胜于紧密。

Readability counts. 可读性应当被重视。

Special cases aren't special enough to break the rules. 尽管实用性会打败纯粹性,特例也不能凌驾于规则之上。

Although practicality beats purity.

Errors should never pass silently. 不要忽略任何错误,除非你确认要这么做。

Unless explicitly silenced.

In the face of ambiguity, refuse the temptation to guess. 面对不明确的定义,拒绝猜测的诱惑。

There should be one-- and preferably only one --obvious way to do it. 找到一种最好唯一的一种方法去解决问题。

Although that way may not be obvious at first unless you're Dutch. 虽然一开始这种方法并不是显而易见,因为你不是python之父。

Now is better than never. 做好过不做,但没有思考的做不如不做。

Although never is often better than *right* now.

If the implementation is hard to explain, it's a bad idea. 如果实现很难说明,那它是个坏想法。

If the implementation is easy to explain, it may be a good idea. 如果实现容易解释,那它有可能是个好想法。

Namespaces are one honking great idea -- let's do more of those! 命名空间是个绝妙的想法,请多加利用。

"""

 

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