Python就业班——Python函数与模块

#!/usr/bin/env python3
# coding=utf-8
# Version:python3.6.1
import random
from functools import reduce

from datetime import datetime

import os

__date__ = '2020/6/26 23:48'
__author__ = 'LGSP_Harold'


# 序列传参
# def calc(a, b, c):
#     return (a + b) * c
#
#
# lst = [1, 5, 10]
# print(calc(*lst))

# ————————————————————————

# 字典传参
# def person(name, age, height):
#     print('{},{},{}'.format(name, age, height))
#
#
# param = {'name': 'Harold', 'age': 18, 'height': 180}
# person(**param)

# ————————————————————————

# 返回值包含多个数据

# def get_detail_info():
#     dict1 = {
#         'employee': [
#             {'name': 'Jim', 'age': 18},
#             {'name': 'Leslie', 'age': 18}
#         ],
#         'device': [
#             {'id': 999, 'title': '笔记本'},
#             {'id': 9999, 'title': '台式机'}
#         ],
#         'asset': [{},{}],
#         'project': [{}, {}],
#     }
#     return dict1
#
#
# print(get_detail_info())
# d = get_detail_info()
# print(type(d))
# name = d.get('employee')[1].get('name')
# print(name)

# ————————————————————————

# 包的引用
# 引入整个包:import module
# 只引入所需要的属性和方法:from module.xx.xx import xx
# 指定别名:from module.xx.xx import xx as rename
# 引入所有:from module.xx.xx import *

# __init__.py:一般为空,可以批量导入所需的模块

# ————————————————————————

# os模块
# 创建多级目录
# import os
# f = os.path.join('.//imooc', 'i', 'love', 'you')
# os.makedirs(f)

# 获取目录下所有文件
# filePath = ".\\"
# dirList = os.listdir(filePath)
# print(dirList)

# ————————————————————————

# 虚拟环境

# virtualenv
# 安装:pip install virtualenv
# 创建
#     新建虚拟环境目录:mkdir envs
#     进入目录:cd envs
#     创建所需的环境(如:django1.11)
#         创建一个虚拟环境(Python):virtualenv django1.11
#         进入Scripts:cd django1.11/Scripts
#         进入虚拟环境:activate
#         安装所需的环境:pip install django==1.11
#         测试
#             python
#             import django
#             quit()
#         退出:deactivate.bat
# 多个虚拟环境切换
#     安装virtualenvwrapper:pip install virtualenvwrapper-win
#     设置环境变量:
#         变量名:WORKON_HOME
#         变量值:D:\ProgramFiles\Development\PythonEnvs\PythonVirtualenv
#     使用(在django虚拟环境中):workon 虚拟环境名称
#         如:workon flask


# pipenv
# 安装:pip install pipenv
# 安装需要的python版本
# 创建
#     新建虚拟环境目录:mkdir py27
#     进入目录:cd py27
#     了解pipenv:pipenv -h
#     创建所需的Python环境:pipenv --python 2.7
#     进入虚拟环境:pipenv shell
#         安装所需的环境(需要在前面新创建的目录【py27】内执行):pipenv install flask
#         测试
#             python
#             import flask
#             quit()
#         退出:exit

# ————————————————————————

# # 函数进阶
# # lambda函数
# def f(n):
#     return n % 2 != 0
#
#
# # filter函数:函数用于过滤序列,过滤掉不符合条件的元素,返回一个迭代器对象,如果要转换为列表,可以使用 list() 来转换。该接收两个参数,第一个为函数,第二个为序列,序列的每个元素作为参数传递给函数进行判,然后返回 True 或 False,最后将返回 True 的元素放到新列表中。
# def use_filer(l):
#     """
#     获取指定列表/元组中的奇数
#     :param l: list/tuple要过滤的数据
#     :return: 过滤好的奇数列表
#     """
#     # rest = filter(f, l)
#     rest = filter(lambda n: n % 2 != 0, l)
#     return rest
#
#
# # map函数:第一个参数 function 以参数序列中的每一个元素调用 function 函数,返回包含每次 function 函数返回值的新列表。
# def pow_number(l):
#     """
#     根据给定的列表数据,计算里面每一项的立方
#     :param l: list/type int类型的列表或者是元组
#     :return:原来列表中每一项的立方
#     """
#     rest_list = []
#     for x in l:
#         rest_list.append(x * x * x)
#     return rest_list
#
#
# def map_f(n):
#     return n * n * n
#
#
# def pow_num_use_map(l):
#     """
#     使用map函数计算给定列表的每一项立方
#     :param l: list/type int类型的列表或者是元组
#     :return:原来列表中每一项的立方
#     """
#     # return map(map_f, l)
#     # return map(lambda n: n * n * n, l)
#     return map(lambda n: pow(n, 3), l)
#
#
# # reduce函数:函数将一个数据集合(链表,元组等)中的所有数据进行下列操作:用传给 reduce 中的函数 function(有两个参数)先对集合中的第 1、2 个元素进行操作,得到的结果再与第三个数据用 function 函数运算,最后得到一个结果。
# def get_sum(l):
#     rest = 0
#     for i in l:
#         rest += i
#     return rest
#
#
# def get_sum_use_py(l):
#     return sum(l)
#
#
# def reduce_f(m, n):
#     return m + n
#
#
# def get_sum_use_reduce(l):
#     return reduce(reduce_f, l)
#
#
# def get_sum_use_reduce_lambda(l):
#     return reduce(lambda m, n: m + n, l)


# 文件读写
# f = open('file.txt')
# f.close()
#
# with open('file.txt') as f:
#     pass

# read()
# def read_file():
#     file_name = 'test.txt'
#     file_path1 = 'D:\\ProgramFiles\\Development\\PycharmProjects\\practice\\test.txt'
#     file_path2 = 'D:/ProgramFiles/Development/PycharmProjects/practice/test.txt'
#
#     f = open(file_name, encoding='utf-8')
#     # result = f.read()
#     # result = f.read(8)
#     # print(result)
#     # print(f.read(9))
#     # f.seek(20)
#     # print(f.read(9))
#
#     # print(f.readline(9))
#     # print(f.readline(9))
#     # print(f.readline())
#
#     # rest = f.readlines()
#     # print(rest)
#     # print(len(rest))
#     # for i in rest:
#     #     print(i)
#
#     # rest = f.readlines(19) # 参数为字符数
#     # for i in rest:
#     #     print(i)
#
#     f.close()
#
#     with open(file_path1, encoding='utf-8') as f:
#         pass

# 文件写入
# def test_write_file():
#     file_name = 'write_test.txt'
#     with open(file_name, 'w', encoding='utf-8') as f:
#         f.write('hello')
#         f.write('\n')
#         f.write('world')

# def write_mult_line():
#     file_name = 'write_mult_line.txt'
#     with open(file_name, 'w', encoding='utf-8') as f:
#         l = ['第1行', '\n', '第2行', '\r\n', '第3行', '\r', '第4行']
#         f.writelines(l)

# 登录日志
# def write_user_log():
#     file_name = 'user_log.txt'
#     rest = 'id:{0}-访问时间:{1}'.format(random.randint(1000, 9999), datetime.now())
#     print(rest)
#     with open(file_name, 'a', encoding='utf-8') as f:
#         f.write(rest + '\n')


# 先读后写
# def read_and_write():
#     file_name = 'read_and_write.txt'
#     with open(file_name, 'r+', encoding='utf-8') as f:
#         read_rest = f.read()
#         if '1' in read_rest:
#             f.write('ccc\n')
#         else:
#             f.write('aaa\n')


if __name__ == '__main__':
    # # filter函数
    # filter_list = [1, 2, 3, 4, 5, 6]
    # rest = use_filer(filter_list)
    # print(list(rest))
    #
    # # map函数
    # map_list = [1, 2, 3, 4, 5, 6]
    # rest = pow_number(map_list)
    # print(rest)
    # # rest_map = pow_num_use_map(map_list)
    # # print(list(rest_map))
    # rest_map_lambda = pow_num_use_map(map_list)
    # print(list(rest_map_lambda))
    # # reduce函数
    # reduce_list = [1, 2, 3, 4]
    # print(get_sum(reduce_list))
    # print(get_sum_use_py(reduce_list))
    # print(get_sum_use_reduce(reduce_list))
    # print(get_sum_use_reduce_lambda(reduce_list))
    # read_file()
    # test_write_file()
    # write_mult_line()
    # write_user_log()
    # read_and_write()
    pass

 

posted @ 2020-07-02 21:39  嘆世殘者——華帥  阅读(126)  评论(0编辑  收藏  举报