为了应付某些情况,需要做17份记录。虽然不很重要,但是17份完全雷同也不很好。大体看了一下,此记录大致分为四段。于是决定每段提供四种选项,每段四选一,拼凑成四段文字,存成一个文件。文件名就叫“XX记录+日期”。应急的随手创作,使用了“文件操作”和“生成随机数”的功能。比较简陋。后期扩展可以考虑搭配个数据库。
# -*- coding: cp936 -*-
import random
title='XXX周例会\n会议时间: '
timelist=['6月6日','6月13日','6月20日','6月27日','7月4日','7月11日','7月18日','7月25日',
'8月1日','8月8日','8月15日','8月22日','8月29日',
'9月5日','9月12日','9月19日','9月26日',
]#包含17个日期的列表
str1='会议地点: XXX房间\n'
str2='主持人: 张三\n'
str3='参加人员: AAA、BBB、ccc\n会议内容:\n '
list1=['第一段(A型)\n','第一段(B型)\n','第一段(C型)\n','第一段(D型)\n']
list2=['第二段(A型)\n','第二段(B型)\n','第二段(C型)\n','第二段(D型)\n']
list3=['第三段(A型)\n','第三段(B型)\n','第三段(C型)\n','第三段(D型)\n']
list4=['第四段(A型)\n','第四段(B型)\n','第四段(C型)\n','第四段(D型)\n']
for i in range(0,17):
aa=random.randint(0,3)#随机赋给aa“0、1、2,3”三个值
bb=random.randint(0,3)
cc=random.randint(0,3)
dd=random.randint(0,3)
print timelist[i]
print aa,bb,cc,dd
f=open('XXX周例会'+timelist[i]+'.txt','w')# 新建文件,文件名是“标题+日期”。r只读,w可写,a追加
f.write(title + timelist[i] + '\n' + str1 + str2 + str3 + list1[aa] + list2[bb] + list3[cc] + list4[dd] + '\n')
#在文件中写入随机生成的第一段,第二段,第三段,第四段。
f.close()#关闭文件读写。
给某党看的东西,哎,我天朝。。。。。小伙伴们还是关注下本文的思路吧,其他不是目前我们能考虑的^_^

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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