20群+1901100290+day6的作业

exercises/1901100290/1001S02E01_helloworld.txt

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+1001S02E01_helloworld.txt 


exercises/1901100290/1001S02E02_hello_python.py

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+print("hello world")

exercises/1901100290/1001S02E03_calculator.py

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+a = float(input('Please enter a number: '))
+option = input('Please enter a operator: ')
+b = float(input('Please enter another number: '))
+if option == '+':
+    print("result: ",a+b)
+if option == '-':
+    print("result: ",a-b)
+if option == '*':
+    print("result: ",a*b)
+if option == '/':
+    print("result: ",a/b)
+
+

exercises/1901100290/1001S02E04_control_flow.py

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+for i in range(1, 10):
+    for j in range(1, i+1):
+        print('{}×{}={}'.format(j, i, i*j), end='\t')
+    print()
+
+    i = 1
+while i < 10:
+    j = 1
+    while j<=i:
+        if i%2 == 0:
+           break
+        print('{}*{}={}'.format(i,j,i*j),end='\t')
+        j +=1
+    i +=1
+    print()
+

exercises/1901100290/1001S02E05_array.py

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+
+# 翻转
+
+p=[0,1,2,3,4,5,6,7,8,9]
+p.reverse() 
+print(p)
+
+
+#翻转后的数组拼接成字符串串
+
+y = ''.join(str(i) for i in p)
+
+
+#⽤用字符串串切⽚片的⽅方式取出第三到第⼋八个字符(包含第三和第⼋八个字符) 
+
+a = y[2:8]
+
+
+#将获得的字符串串进⾏行行翻转
+
+c = a[::-1]
+
+
+# 将结果转换为int类型
+
+b = int(c)
+
+
+# 分别转换成⼆二进制，⼋八进制，⼗十六进制 
+
+print('十进制整数为: ',b)
+print('转换成二进制为: ',bin(b))
+print('转换成八进制为: ',oct(b))
+print('转换成十六进制为: ',hex(b))
+
+int('b', 2)
+int('b', 8)
+int('b', 16)

exercises/1901100290/1001S02E05_stats_text.py

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+text = '''
+The Zen of Python, by Tim Peters
+
+Beautiful is better than ugly.
+Explicit is better than implicit.
+Simple is better than complex.
+Complex is better than complicated.
+Flat is better than nested.
+Sparse is better than dense.
+Readability counts.
+Special cases aren't special enough to break the rules.
+Although practicality beats purity.
+Errors should never pass silently.
+Unless explicitly silenced.
+In the face of ambxiguity, refuse the temptation to guess.
+There should be one-- and preferably only one --obvious way to do it.
+Although that way may not be obvious at first unless you're Dutch.
+Now is better than never.
+Although never is often better than *right* now.
+If the implementation is hard to explain, it's a bad idea.
+If the implementation is easy to explain, it may be a good idea.
+Namespaces are one honking great idea -- let's do more of those!
+'''
+
+
+
+
+
+
+# 只统计英文单词，不包括非英文字符的其他任何符号，如连接符号、空白字符等等
+list1 = text.split( )
+i=0
+for i in range(0,len(list1)):
+    list1[i]=list1[i].strip('*-,.!')
+    if list1[i]==' ': 
+        list1[i].remove(' ')
+    else:
+        i=i+1
+# 使用dict统计字符串样本中各个英文单词出现的次数
+# 按照出现次数从大到小排列，示例 {'is': 10, ‘better’ : 9, …… }
+import collections
+print(collections.Counter(list1))
+
+
+
+

exercises/1901100290/1001S02E05_string.py

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+text = '''
+The Zen of Python, by Tim Peters
+
+Beautiful is better than ugly.
+Explicit is better than implicit.
+Simple is better than complex.
+Complex is better than complicated.
+Flat is better than nested.
+Sparse is better than dense.
+Readability counts.
+Special cases aren't special enough to break the rules.
+Although practicality beats purity.
+Errors should never pass silently.
+Unless explicitly silenced.
+In the face of ambxiguity, refuse the temptation to guess.
+There should be one-- and preferably only one --obvious way to do it.
+Although that way may not be obvious at first unless you're Dutch.
+Now is better than never.
+Although never is often better than *right* now.
+If the implementation is hard to explain, it's a bad idea.
+If the implementation is easy to explain, it may be a good idea.
+Namespaces are one honking great idea -- let's do more of those!
+'''
+
+#1.将better替换为worse
+s = text.replace('better','worse')
+print(s)
+
+
+#2.剔除含有ea的单词
+a="EA"
+b=[]
+for a in s:
+    if a.find(s)<0:
+        b.append(a)
+print(s)
+
+
+#3.大小写替换
+y=s.swapcase()
+print(y)
+
+
+#4.升序排列
+list1=y.split()
+list1.sort()
+print(list1)

exercises/1901100290/1001S02E06_stats_word.py

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+sample_text = '''
+The Zen of Python, by Tim Peters
+
+Beautiful is better than ugly.
+Explicit is better than implicit.
+Simple is better than complex.
+Complex is better than complicated.
+Flat is better than nested.
+Sparse is better than dense.
+Readability counts.
+Special cases aren't special enough to break the rules.
+Although practicality beats purity.
+Errors should never pass silently.
+Unless explicitly silenced.
+In the face of ambxiguity, refuse the temptation to guess.
+There should be one-- and preferably only one --obvious way to do it.
+Although that way may not be obvious at first unless you're Dutch.
+Now is better than never.
+Although never is often better than *right* now.
+If the implementation is hard to explain, it's a bad idea.
+If the implementation is easy to explain, it may be a good idea.
+Namespaces are one honking great idea -- let's do more of those!
+'''
+
+elements=sample_text.split()#先将字符串根据空白字符分割成list，要调用str类型
+words=[]#定义一个新的list型变量，存储处理过的单词
+symbols=',.*-!'#针对文本筛选出需要剔除的非单词符号
+
+for element in elements:
+    for symbol in symbols:#遍一遍需要剔除的符号
+        element=element.replace(symbol,'')#逐个替换字符号，用‘’是为了同时剔除符号所占的位置
+    if len(element):
+        words.append(element)#剔除了字符后如果element的长度不为0，则算作正常单词
+print('',words)
+
+counter = {}#初始化一个dict（字典）类型的变量，用来存放单词出现的次数
+word_set = set(words)#set（集合）类型可以去掉列表里的重复元素
+for word in word_set:
+    counter[word] = word.count(word)
+print('',counter)#在for··in里减少循环次数
+print('',sorted(counter.items(),key=lambda x:x[1],reverse=True))
+#按照出现次数从大到小输出所有的单词及出现次数
+#内置函数sorted的参数key表示按元素的哪一项进行排序
+#dict类型counter的items方法会返回一个包含相应项（key,value）的元素列表
+#print('counter.items()‘，counter.items()）
+
+sample_text = '''
+The Zen of Python, by Tim Peters
+
+美 丽 优 于 丑 陋.
+直 言 优 于 暗 示.
+简 单 优 于 复 杂.
+复 杂 优 于 难 懂.
+平 直 优 于 曲 折.
+疏 散 优 于 密 集.
+重 在 重 读.
+打 破 规 则 的 特 别 不 能 称 之 为 特 别.
+尽 管 练 习 会 打 败 纯 粹.
+错 误 不 应 该 无 声 的 过 去.
+除 非 明 晰 沉 默.
+直 面 拒 绝 猜 测.
+这 将 只 有 一 个-- 完 美 的 仅 有 的 --显 然 易 见 的 路 去 做.
+尽 管 那 条 路 一 开 始 并 不 明 显 除 非 你 延 展.
+现 在 好 过 从 不.
+尽 管 从 不 常 好 过 *对 的* 现 在.
+如 果 执 行 很 难 解 释，那 也 许 是 坏 点 子.
+如 果 执 行 很 易 解 释，那 也 许 是 好 点 子.
+命 名 空 间 是 最 棒 的 想 法 -- 让 我 们 做 的 更 多!
+'''
+
+elements=sample_text.split()#先将字符串根据空白字符分割成list，要调用str类型
+words=[]#定义一个新的list型变量，存储处理过的单词
+symbols=',.*-!'#针对文本筛选出需要剔除的非单词符号
+
+for element in elements:
+    for symbol in symbols:#遍一遍需要剔除的符号
+        element=element.replace(symbol,'')#逐个替换字符号，用‘’是为了同时剔除符号所占的位置
+    if len(element):
+        words.append(element)#剔除了字符后如果element的长度不为0，则算作正常单词
+print('',words)
+
+counter = {}#初始化一个dict（字典）类型的变量，用来存放单词出现的次数
+word_set = set(words)#set（集合）类型可以去掉列表里的重复元素
+for word in word_set:
+    counter[word] = word.count(word)
+print('',counter)#在for··in里减少循环次数
+print('',sorted(counter.items(),key=lambda x:x[1],reverse=True))
+#按照出现次数从大到小输出所有的单词及出现次数
+#内置函数sorted的参数key表示按元素的哪一项进行排序
+#dict类型counter的items方法会返回一个包含相应项（key,value）的元素列表
+#print('counter.items()‘，counter.items()）
+
+
+
+
+
+

exercises/1901100290/README .md

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+# 自学 Python 训练营
+
+
+
+涅槃作业仓库
+(https://github.com/selfteaching-learning-notes/selfteaching-learning-notes.github.io)