print"这是一个保留例子,仅供玩耍\n"lucky_num=5c=0whileTrue:b=int(raw_input("Please input a number to check if you are \ lucky enough to guess right: \n"))ifb==lucky_num:print"\nYour are so smart!!! ^_^ ^_^"#-----------------
前面学习了 Type Hints 基础类型 int , str 以及简单的复合类型 list, tuple, dict。接下来学习typing模块List, Dict, Tuple有什么不一样 typing 模块 List 以下例子中a和b都是声明了list类型。 a的成员但是int类型 b的成员但是str类型。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 a: list = [1...
list[int]表示一种特殊的list,它只能包含整数类型的元素。在Python中,list是一种非常重要的数据类型。它是一种可变序列类型,可以包含任意数量的元素,这些元素可以是不同类型的数据,包括整数、浮点数、字符串、元组、列表等等。 在Python中,list是一种非常重要的数据类型。它是一种可变序列类型,可以包含任意数量的元素...
如果重复需要用比如pandas,后面再import,之前的话都是灰色了fromdatetimeimportdatetimeimportmatplotlib.pyplotaspltimportosfromcollectionsimportOrderedDict# python 3.7 needfrommultiprocessingimportPool,cpu_countfromtypingimportList,Union,Dict,Tupleimportrandom
num = int(data) except (FileNotFoundError, ValueError) as e: print(f"发生错误:{e}") 1. 2. 3. 4. 5. 6. 3. 通用异常捕获 try: # 复杂操作 result = some_function() except Exception as e: print(f"发生未知错误:{e}") # 建议记录详细错误日志 ...
stat_info = os.stat(file_path)if"linux"insys.platformor"darwin"insys.platform:print("Change time: ", dt.fromtimestamp(stat_info.st_ctime))elif"win"insys.platform:print("Creation time: ", dt.fromtimestamp(stat_info.st_ctime))else:print("[-] Unsupported platform {} detected. Cannot inte...
x + 1 # Error: str + int is not valid if isinstance(x, int): # Here type of x is int. x + 1 # OK else: # Here type of x is str. x + 'a' # OK f(1) # OK f('x') # OK f(1.1) # Error Note Optional 类型,可选类型, Optional[X] 相当于Union[X,None]: ...
if__name__ =='__main__': parser = argparse.ArgumentParser( description=__description__, epilog="Developed by {} on {}".format(", ".join(__authors__), __date__) ) parser.add_argument('EVIDENCE_FILE',help="Path to evidence file") ...
get_tables – get list of tables in connected database Y - get_attnames – get the attribute names of a table Y - has_table_privilege – check table privilege Y - get/set_parameter – get or set run-time parameters Y - begin/commit/rollback/savepoint/release – transaction handling Y...
311 9089 312 10272 313 9761 314 7855 315 9845 Name: POP2010, Length: 316, dtype: Int32 Slicing DataFrames We can access rows, columns and subsets of rows and columns using Python slicing: # rows 0-9 with a subset of columns indexed as a list df.loc[0:9][["FID", "NAME", "ST...