Python语法练习作业

╰+哭是因爲堅強的太久メ 2022-11-06 05:52 225阅读 0赞

# Python语法练习作业 #

说明: 共15道练习题，为每个人自主完成内容。

### 1.将元组 (1,2,3) 和集合 \{4,5,6\} 合并成一个列表。 ###

list1=[(1,2,3),{4,5,6}]
    print(list1)

### 2.反转列表 \[0,1,2,3,4,5,6,7\] 后给出中元素 5 的索引号。 ###

[python反转列表的三种方式 ： ][python_ _][https://www.cnblogs.com/hokky/p/8425997.html][python_ _]

在python列表中查找某个元素的索引：[https://blog.csdn.net/u012308586/article/details/104960447/][https_blog.csdn.net_u012308586_article_details_104960447]

#反转列表 [0,1,2,3,4,5,6,7] 后给出中元素 5 的索引号
    li=[0,1,2,3,4,5,6,7]
    a = list(reversed(li))
    print(a.index(5))

### 3.将列表 \[‘a’,‘b’,‘c’\] 中各个元素用’|'连接成一个字符串。 ###

[python字符串连接的N种方式总结：][python_N][https://www.cnblogs.com/xiaoleiel/p/8301402.html][python_N]

var_list = ['a','b','c']
    a = '|'
    print(a.join(var_list))

### 4.判断 ‘https://blog.csdn.net’ 是否以 ‘.com’ 或 ‘.net’ 结束。若是，则返回 ‘com’ 或 ‘net’；否则，返回None。 ###

[python判断字符串开头、结尾][python][：https://www.cnblogs.com/hcy-fly/p/8603833.html][python]

string='https://blog.csdn.net'
    if (string.endswith(".com")):
        print('.com')
    if(string.endswith(".net")):
            print(".net")
    else:
        print("None")

### 5.求列表 \[2,3,4,5\] 中每个元素的立方根。 ###

list2=[2,3,4,5]
    for i in range(4):
        print(list2[i]**2)

### 6.返回字符串 ‘abCdEfg’ 的全部大写、全部小写和大下写互换形式。 ###

python：实现字符串大小写形式转换[https://blog.csdn.net/LinRuiC/article/details/84393483][https_blog.csdn.net_LinRuiC_article_details_84393483]

def altering(string):
        return string.swapcase()
    text='abCdEfg'
    print(text.lower())
    print(text.upper())
    print(altering(text))

### 7.去除数组 \[1,2,5,2,3,4,5,‘x’,4,‘x’\] 中的重复元素。 ###

Python中去除列表（list）中重复项的2种方式[https://blog.csdn.net/lb0737/article/details/81012270][https_blog.csdn.net_lb0737_article_details_81012270]

list3=[1,2,5,2,3,4,5,'x',4,'x'] 
    print(list(set(list3)))

### 8.以列表 \[‘A’,‘B’,‘C’,‘D’,‘E’,‘F’,‘G’,‘H’\] 中的每一个元素为键，默认值都是0，创建一个字典。 ###

如何使用列表中的键创建一个字典，并将值默认为（比方说）为零[https://www.codenong.com/3869487/][https_www.codenong.com_3869487]

a = ['A','B','C','D','E','F','G','H']
    d = dict([(x,0) for x in a])
    print(d)

### 9.判断 David 和 Alice 是否在字典 \{‘Alice’: 20, ‘Beth’: 18, ‘Cecil’: 21\} 中。 ###

python 判断dict当中key是否存在的两种方法[https://blog.csdn.net/legend818/article/details/90236863][https_blog.csdn.net_legend818_article_details_90236863]

dic={'Alice': 20, 'Beth': 18, 'Cecil': 21} 
    if('David' in dic):
        print('David in dic')
    else:
        print('David not in dic')
    if('Alice' in dic):
        print('Alice in dic')
    else:
        print('Alice not in dic')

### 10.遍历字典 \{‘Alice’: 20, ‘Beth’: 18, ‘Cecil’: 21\}，打印键值对。 ###

Python遍历字典中的键值对[https://blog.csdn.net/weixin\_46369610/article/details/107849254?utm\_term=python%E5%A6%82%E4%BD%95%E9%81%8D%E5%8E%86%E5%AD%97%E5%85%B8%E9%94%AE%E5%80%BC%E5%AF%B9&utm\_medium=distribute.pc\_aggpage\_search\_result.none-task-blog-2~all~sobaiduweb~default-1-107849254&spm=3001.4430][https_blog.csdn.net_weixin_46369610_article_details_107849254_utm_term_python_E5_A6_82_E4_BD_95_E9_81_8D_E5_8E_86_E5_AD_97_E5_85_B8_E9_94_AE_E5_80_BC_E5_AF_B9_utm_medium_distribute.pc_aggpage_search_result.none-task-blog-2_all_sobaiduweb_default-1-107849254_spm_3001.4430]

# 创建并初始化menu菜单字典
    menu={'Alice': 20, 'Beth': 18, 'Cecil': 21}
    # 利用items()方法遍历输出键和值
    for key,value in menu.items():
        print(key+':'+str(value))

### 11.返回字符串 ‘this is python’ 中 ‘is’ 的出现次数。 ###

Python用于统计字符串里某个字符出现的次数count()函数[https://blog.csdn.net/tuliyou/article/details/110544606][https_blog.csdn.net_tuliyou_article_details_110544606]

str = "this is python"
    sub1 = "is"
    num1 = str.count(sub1) # 默认搜索整个字符串
    print("'is'出现的次数：",num1)

### 12.将字符串 ‘this is python’ 切片成3个单词。 ###

python中从字符串中获得单词列表[https://blog.csdn.net/u013698770/article/details/55279891][https_blog.csdn.net_u013698770_article_details_55279891]

sentence='this is python'
    words=sentence.split(" ")
    print(words)

### 13.快速生成由 \[5,50) 区间内的整数组成的列表。 ###

Python 四种生成一个从0到n个数字的列表[https://blog.csdn.net/xingxing1839381/article/details/84851621?utm\_medium=distribute.pc\_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control&dist\_request\_id=&depth\_1-utm\_source=distribute.pc\_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control][https_blog.csdn.net_xingxing1839381_article_details_84851621_utm_medium_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control_dist_request_id_depth_1-utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control]

l= list(range(5,50))
    print(l)

### 14.找到列表 \[8,5,2,4,3,6,5,5,1,4,5\] 中出现最频繁的数字以及出现的次数。 ###

Python找出列表中出现次数最多的元素三种方式[https://www.jb51.net/article/181216.htm][https_www.jb51.net_article_181216.htm]

#找到列表 [8,5,2,4,3,6,5,5,1,4,5] 中出现最频繁的数字以及出现的次数
    from collections import Counter
    words = [8,5,2,4,3,6,5,5,1,4,5]
    collection_words = Counter(words)
    most_counterNum = collection_words.most_common(1)
    print(most_counterNum)

[python_ _]: https://www.cnblogs.com/hokky/p/8425997.html
[https_blog.csdn.net_u012308586_article_details_104960447]: https://blog.csdn.net/u012308586/article/details/104960447/
[python_N]: https://www.cnblogs.com/xiaoleiel/p/8301402.html
[python]: https://www.cnblogs.com/hcy-fly/p/8603833.html
[https_blog.csdn.net_LinRuiC_article_details_84393483]: https://blog.csdn.net/LinRuiC/article/details/84393483
[https_blog.csdn.net_lb0737_article_details_81012270]: https://blog.csdn.net/lb0737/article/details/81012270
[https_www.codenong.com_3869487]: https://www.codenong.com/3869487/
[https_blog.csdn.net_legend818_article_details_90236863]: https://blog.csdn.net/legend818/article/details/90236863
[https_blog.csdn.net_weixin_46369610_article_details_107849254_utm_term_python_E5_A6_82_E4_BD_95_E9_81_8D_E5_8E_86_E5_AD_97_E5_85_B8_E9_94_AE_E5_80_BC_E5_AF_B9_utm_medium_distribute.pc_aggpage_search_result.none-task-blog-2_all_sobaiduweb_default-1-107849254_spm_3001.4430]: https://blog.csdn.net/weixin_46369610/article/details/107849254?utm_term=python%E5%A6%82%E4%BD%95%E9%81%8D%E5%8E%86%E5%AD%97%E5%85%B8%E9%94%AE%E5%80%BC%E5%AF%B9&utm_medium=distribute.pc_aggpage_search_result.none-task-blog-2~all~sobaiduweb~default-1-107849254&spm=3001.4430
[https_blog.csdn.net_tuliyou_article_details_110544606]: https://blog.csdn.net/tuliyou/article/details/110544606
[https_blog.csdn.net_u013698770_article_details_55279891]: https://blog.csdn.net/u013698770/article/details/55279891
[https_blog.csdn.net_xingxing1839381_article_details_84851621_utm_medium_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control_dist_request_id_depth_1-utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control]: https://blog.csdn.net/xingxing1839381/article/details/84851621?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control&dist_request_id=&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control
[https_www.jb51.net_article_181216.htm]: https://www.jb51.net/article/181216.htm