Loops are used to repeatedly execute some program blocks. From the selection structure in the previous lecture, we have seen how to use indentation to indicate the affiliation of program blocks. Similar writing methods are also used for loops.
for loop
The for loop needs to preset the number of loops (n), and then execute the statement belonging to for n times.
The basic structure is
for element in sequence:
statement
For example, we edit a file called forDemo.py
for a in [3,4.4,'life']: print a
This loop is from the table [3,4.4,' life'] (recall: the table is a sequence), then assign this element to a, and then perform the operation (print) belonging to for.
Introducing a new Python function range() to help you create tables.
idx = range(5) print idx
You can see that idx is [0,1,2,3,4]
The function of this function is to create a new table. The elements of this table are all integers, starting from 0, and the next element is 1 greater than the previous one, until the upper limit written in the function (excluding the upper limit itself)
(About range(), there are many uses, if you are interested You can check, in Python 3, the usage of range() has changed, see the comment area)
Example
for a in range(10): print a**2
while loop
while usage is
while condition:
statement
while will continue Loop and execute the statements belonging to it until the condition is False
Example
while i < 10: print i i = i + 1
Interrupt the loop
continue # In a certain execution of the loop, if continue is encountered, skip this time Execute and perform the next operation
break # Stop executing the entire loop
for i in range(10): if i == 2: continue print i
When the loop is executed to i = 2, the if condition is established, trigger continue, skip this execution (print will not be executed), Continue to the next execution (i = 3).
for i in range(10): if i == 2: break print i
When the loop is executed to i = 2, the if condition is established, break is triggered, and the entire loop stops.
Summary
range()
for element in sequence:
while condition:
continue
break

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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