This article mainly introduces relevant information about the implementation of the queue of Python data structure. Friends who need it can refer to
Python Queue
Queue Queue is a A first-in-first-out (FIFO) data type. New elements are added to the end of the Queue by enqueueing. Dequeuing is to delete elements from the head of the Queue.
Use a list to make a Queue:
queue = [] # 初始化一个列表数据类型对象, 作为一个队列 def enQ(): # 定义一个入栈方法 queue.append(raw_input('Enter New String: ').strip()) # 提示输入一个入队的 String 对象, 调用 Str.strip() 保证输入的 String 值不包含多余的空格 def deQ(): # 定义一个出队方法 if len(queue) == 0: print "Cannot pop from an empty queue!" else: print 'Remove [', `queue.pop(0)`, ']' # 使用反单引号(` `)来代替 repr(), 把 String 的值用引号扩起来, 而不仅显示 String 的值 # queue.pop(0) 总是将在队列中最前面的元素弹出 def viewQ(): # 定义一个显示队列中的内容的方法 print queue CMDs = {'u':enQ, 'o':deQ, 'v':viewQ} # 定义一个 Dict 类型对象, 将字符映射到相应的 function .可以通过输入字符来执行相应的操作 def showmenu(): # 定义一个操作菜单提示方法 pr = """ (E)nqueue (D)equeue (V)iew (Q)uit Enter choice: """ while True: while True: try: choice = raw_input(pr).strip()[0].lower() # Str.strip() 去除 String 对象前后的多余空格 # Str.lower() 将多有输入转化为小写, 便于后期的统一判断 # 输入 ^D(EOF, 产生一个 EOFError 异常) # 输入 ^C(中断退出, 产生一个 keyboardInterrupt 异常) except (EOFError, KeyboardInterrupt, IndexError): choice = 'q' print '\nYou picked: [%s]' % choice if choice not in 'uovq': print 'Invalid option, try again' else: break if choice == 'q': break CMDs[choice]() # 获取 Dict 中字符对应的 functionName, 实现函数调用 if __name__ == '__main__': showmenu()
The implementation of queues and stacks is very similar, the difference is that the queue always pops the first element first and the stack always pops the last element first.
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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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