本文实例总结了python选择排序算法。分享给大家供大家参考。具体如下:
代码1:
def ssort(V): #V is the list to be sorted j = 0 #j is the "current" ordered position, starting with the first one in the list while j != len(V): #this is the replacing that ends when it reaches the end of the list for i in range(j, len(V)): #here it replaces the minor value that it finds with j position if V[i] < V[j]: #but it does it for every value minor than position j V[j],V[i] = V[i],V[j] j = j+1 #and here's the addiction that limits the verification to only the next values return V
代码2:
def selection_sort(list): l=list[:] # create a copy of the list sorted=[] # this new list will hold the results while len(l): # while there are elements to sort... lowest=l[0] # create a variable to identify lowest for x in l: # and check every item in the list... if x<lowest: # to see if it might be lower. lowest=x sorted.append(lowest) # add the lowest one to the new list l.remove(lowest) # and delete it from the old one return sorted
代码3
a=input("Enter the length of the list :") # too ask the user length of the list l=[] # take a emty list for g in range (a): # for append the values from user b=input("Enter the element :") # to ask the user to give list values l.append(b) # to append a values in a empty list l print "The given eliments list is",l for i in range (len(l)): # to repeat the loop take length of l index=i # to store the values i in string index num=l[i] # to take first value in list and store in num for j in range(i+1,len(l)): # to find out the small value in a list read all values if num>l[j]: # to compare two values which store in num and list index=j # to store the small value of the loop j in index num=l[j] # to store small charecter are value in num tem=l[i] # to swap the list take the temparary list stor list vlaues l[i]=l[index] # to take first value as another l[index]=tem print "After the swping the list by selection sort is",l
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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