Python array 1, common exercises:
Test questions:
0. What kind of things can be stored in a list?
Answer: Integers, floating point numbers, strings, objects, any data type can be stored
1. What are the ways to add elements to a list?
Answer: append() and extend() and insert()
2. The append() method and the extend() method are like adding elements to the end of the list. What is the difference between them?
Answer: append(): Add the parameter as an element to the end of the list
extend(): Use the parameter as a list to extend the end of the list
3.member.append(['Bamboo Forest Creek' ,'Crazy obsession']) and member.extend(['Bamboo Forest Creek','Crazy obsession']) have the same effect?
Answer: It’s different. member.append(['Bamboo Grove','Crazy obsession']) is to add the ['Bamboo Grove','Crazy obsession'] parameters at the end of the member list,
And member.extend (['Bamboo Forest Creek', 'Crazy Obsession']) is to add the two parameters of Bamboo Forest Creek and Crazy Obsession at the end of the member list.
4. There is a list name = ['F','i','h','C']. If you want to insert the element 's' between the elements 'i' and 'h', what method should be used? insert?
Answer: Use the insert() method, add in front of the element h: name.insert(2,'s')
Move your hands:
0. Do it yourself, in the following case, add data to the list Which method should be used better?
member = ['Little Turtle','Heiye','Lost','Yijing','Autumn Dance Sunset']
Changed to:
['Little Turtle', 88, 'Heiye', 90, 'Lost', 85, 'Yijing', 90, 'Autumn Dance in the Setting Sun', 88]
Method 1: Use insert() and append()
Method 2: Re-create a list overwrite with the same name.
Answer:
The second method is better. It can be done with one command: ['Little Turtle', 88, 'Dark Night', 90, 'Lost', 85, 'Yijing', 90, 'Autumn Dance in the Setting Sun' , 88]
Usage method one requires a lot of commands:
member.insert(1,88)
member.insert(3,90)
member.insert(5,85)
member. insert(7,90)
member.append(88)
1. Use a for loop to print each content in the member list above:
Answer:
>>> forname in member: ... print(name) ... 小甲鱼 88 黑夜 90 迷途 85 怡静 90 秋舞斜阳 88
2. Modify the printing format:
Answer :
方法1: >>> forname in range(len(member)): ... if name % 2 == 0: ... print(member[name:name+2]) ['小甲鱼', 88] ['黑夜', 90] ['迷途', 85] ['怡静', 90] ['秋舞斜阳', 88]rrree

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.

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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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