def main():
print('sys.path:', sys.path)
print('module name:', module.__name__)
print('module.global_variable:', module.global_variable)
module.hello()
fun()
try:
fun2()
except NameError:
print('NameError exception')
print('not found fun2()')
# @Author : bxd # @Email : [email protected] # @File : test.py # @Software: PyCharm #from module import * #不建议这样用，容易被重载 ''' 模块： 一个python文件，用来组织（变量 函数 类 逻辑） 包：一个带有__init__.py的文件夹，用于组织模块 import 模块本质：将文件解释一遍 import 包本质：执行包下的__init__.py文件 ''' import module #将整个文件形成一个变量 import 本质：将文件解释一遍 from module import name as name3 #只取name形成一个变量 from module import hello import sys,os # module.hello() # print(module.name) name = 'aaa' print(module.name) # print(name3) name3 = 'bbb' hello() print(sys.path) print(os.path.dirname(os.path.dirname(os.path.abspath(__file__))) )
# output of 'print hello("Alice")'.
import module
# And in fact, we don't. If we were to run this from the command
# line, however, we would see both calls. This is an important point:
# when you import a module, ALL the code will be run, unless it is in
# that special if statement.
# Like other things that we've imported, we can import functions and
# classes from modules, or just access them using the '.'. This
# includes imports done in the module as well (this wlil become even
# more relevant in just a bit).
# running 'hello' without using an import
print module.hello("world")
# running 'hello' using an import
from module import hello
print hello("world")
# running 'pickled_hello' from the module
print module.pickled_hello("world")
# using the pickle module, as imported from the module
print module.pickle.dumps(hello("world"))
## Basic packages
# What if we want multiple modules? For example, let's say we wanted
# to put together a statistics package. We could put all of our
import module
module.create_dir("/home/etenal/pzhxbz")
module.hello("/home/etenal/pzhxbz")
#python当中的数据类型转换
#int() 将参数转换为int型 str() bool 以此类推
from selfFunctions import add
import functools
from selfFunctions import nop
from selfFunctions import divde
import module
c = add(10,5)
print(c)
#返回多个参数 tuple
s = divde(45)
print(s)
module.hello();
#关于函数参数
#默认参数 同C++
#定义默认参数要牢记一点：默认参数必须指向不变对象！
#可变参数 *
#递归参数
#闭包
def add(x,y):
def selfSum():
return x+y;
return selfSum
f = add(5,10)
print(f())
#匿名函数
#偏函数
# testa a chamada em C de hello para python 2.7 # from module import hello ola = hello() print " " print ola print " "
#https://docs.python.org/ko/3/library/__main__.html
#main.py
#from module import *
import module
if __name__ == "__main__":
print(__name__)
#hello()
module.hello()
# output of 'print hello("Alice")'.
import module
# And in fact, we don't. If we were to run this from the command
# line, however, we would see both calls. This is an important point:
# when you import a module, ALL the code will be run, unless it is in
# that special if statement.
# Like other things that we've imported, we can import functions and
# classes from modules, or just access them using the '.'. This
# includes imports done in the module as well (this wlil become even
# more relevant in just a bit).
# running 'hello' without using an import
print module.hello("world")
# running 'hello' using an import
from module import hello
print hello("world")
# running 'pickled_hello' from the module
print module.pickled_hello("world")
# using the pickle module, as imported from the module
print module.pickle.dumps(hello("world"))
## Basic packages
# What if we want multiple modules? For example, let's say we wanted
# to put together a statistics package. We could put all of our
def foo():
from module import hello # Import from function
hello()
def main():
logger.info('hello')
logger.info(hello())
return 0
def call_hello():
print(module.hello(2))