Common mistakes in python:
0. Forgot to write colon
in if, elif, else, for, while, class, def statements Forgetting to add ":"
if spam == 42 print('Hello!')
result in: SyntaxError: invalid syntax
2. Using wrong indentation
Python uses indentation to distinguish code blocks, common incorrect usages :
print('Hello!') print('Howdy!')
Causes: IndentationError: unexpected indent. Each line of code in the same code block must maintain a consistent indentation
if spam == 42: print('Hello!') print('Howdy!')
Cause: IndentationError: unindent does not match any outer indentation level. After the code block ends, the indentation returns to its original position
if spam == 42: print('Hello!')
Results in: IndentationError: expected an indented block, ":" needs to be followed by indentation
3. The variable is not defined
if spam == 42: print('Hello!')
Results in: NameError: name 'spam' is not defined
4. When obtaining the index position of the list element, forget to call the len method
When obtaining the element through the index position, forget to use the len function to obtain it The length of the list.
spam = ['cat', 'dog', 'mouse'] for i in range(spam): print(spam[i])
Results in: TypeError: range() integer end argument expected, got list.
The correct approach is:
spam = ['cat', 'dog', 'mouse'] for i in range(len(spam)): print(spam[i])
Of course, the more Pythonic way is to use enumerate
spam = ['cat', 'dog', 'mouse'] for i, item in enumerate(spam): print(i, item)
5. Modify the string
The string is a sequence object that supports obtaining elements by index, but it is different from the list object. The string is an immutable object and does not support modification.
spam = 'I have a pet cat.' spam[13] = 'r' print(spam)
Results in: TypeError: 'str' object does not support item assignment
The correct approach should be:
spam = 'I have a pet cat.' spam = spam[:13] + 'r' + spam[14:] print(spam)
6. String and non-string concatenation
num_eggs = 12 print('I have ' + num_eggs + ' eggs.')
Results in: TypeError: cannot concatenate 'str' and 'int' objects
When strings are connected to non-strings, the non-string objects must be coerced into string types
num_eggs = 12 print('I have ' + str(num_eggs) + ' eggs.')
Or use the formatting form of the string
num_eggs = 12 print('I have %s eggs.' % (num_eggs))
7. Using the wrong index position
spam = ['cat', 'dog', 'mouse'] print(spam[3])
results in: IndexError: list index out of range
of the list object The index starts from 0, and the third element should be accessed using spam[2]
8. Using non-existent keys in the dictionary
spam = {'cat': 'Zophie', 'dog': 'Basil', 'mouse': 'Whiskers'} print('The name of my pet zebra is ' + spam['zebra'])
To access keys in the dictionary object, you can use [ ], but if the key does not exist, it will result in: KeyError: 'zebra'
The correct way should be to use the get method
spam = {'cat': 'Zophie', 'dog': 'Basil', 'mouse': 'Whiskers'} print('The name of my pet zebra is ' + spam.get('zebra'))
When the key does not exist, get returns None by default
9. Using keywords as variable names
class = 'algebra'
Results in: SyntaxError: invalid syntax
It is not allowed to use keywords as variable names in Python. Python3 has a total of 33 keywords.
>>> import keyword >>> print(keyword.kwlist) ['False', 'None', 'True', 'and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield']
10. The local variable in the function is used before assignment
someVar = 42 def myFunction(): print(someVar) someVar = 100 myFunction()
Results in: UnboundLocalError: local variable 'someVar' referenced before assignment
When there is a global variable in the function When there is a variable with the same name in the domain, it will search for the variable in LEGB order. If a variable with the same name is also defined in the local scope inside the function, it will not search in the external scope.
Therefore, someVar is defined in the myFunction function, so print(someVar) no longer searches outside, but the variable has not been assigned a value when printing, so UnboundLocalError
11 occurs , use auto-increment " " auto-decrement "--"
spam = 0 spam++
Haha, there are no auto-increment and self-decrement operators in Python. If you are transferring from C or Java, you should pay attention. You can use " = " instead of " "
#method1 is a member method of the Foo class. This method does not accept any parameters. Calling a.method1() is equivalent to calling Foo.method1(a), but method1 does not accept any parameters, so an error is reported. The correct calling method should be Foo.method1(). For more related knowledge, please pay attention topython video tutorial
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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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