本文实例讲述了Python解决鸡兔同笼问题的方法,分享给大家供大家参考。具体分析如下:
问题描述
一个笼子里面关了鸡和兔子(鸡有 2 只脚,兔子有 4 只脚,没有例外)。已经知道了笼 子里面脚的总数 a,问笼子里面至少有多少只动物,至多有多少只动物
输入数据
第 1 行是测试数据的组数 n,后面跟着 n 行输入。每组测试数据占 1 行,包括一个正整 数 a (a
输出要求
n 行,每行输出对应一个输入。输出是两个正整数,第一个是最少的动物数,第二个是 最多的动物数,两个正整数用空格分开。如果没有满足要求的情况出现,则输出 2 个 0。
输入样例
2
3
20
输出样例
0 0
5 10
解题思路:
首先考虑特殊情况,当a为奇数时,结果都为0
其次考虑偶数:
假设鸡 i只, 兔j只, 那么a=2*i+4*j
我们要求 i+j的最小和最大值
易知 i+j=(a-2j)/2 当j越大 i+j越小 当j越小 i+j越大
当然我们也可以简单的用权重值来思考,而不需要去想具体的计算过程
python实现如下:
l=list()
for k in range(n):
inputNum=input()
#odd
if inputNum%2!=0:
min=max=0
else:
#even
#min
j=inputNum/4
i=inputNum%4/2
min=i+j
#max
max=inputNum/2
l+=[(min,max)]
for a,b in l:
print a,b
希望本文所述对大家的Python程序设计有所帮助。

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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