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This article mainly explains "what are the common types of errors for beginners to Python". The content of the explanation is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "what are the common types of errors for beginners to Python?"

1:SyntaxError: unexpected EOF while parsing

Syntax error, more unparsed symbols, check whether there are more or less parentheses

2:SyntaxError: invalid character in identififier

Syntax error has invalid identifier. Check the Chinese symbol.

3:IndexError: list index out of range

Index error, out of index range, check whether the following tables are empty

4:TypeError: must be str, not int

Data type error, the data is not the correct data type, such as string and number direct splicing, check the data type

5:IndentationError: expected an indented block

Indent error, check whether the indentation of the code is correct

6Punch KeyErrorRu Fond'

Key error. There is no corresponding value for the key in the dictionary. Check whether the key name or dictionary data is correct.

7:ValueError: substring not found

The value is incorrect and the data type entered does not match the required one.

8:NameError: name 'a'is not defifined

The object is not initialized and the variable is not defined

9Rose AttributeErrorRutUTUTUPLE object has no attribute'remove'

Property error. The object does not have this property or method. Check the data type.

10:SystemExit

The interpreter requests exit, after the exit () function

11:IOError

Input / output operation failed

12:ImportError

Failed to import module / object. Check whether the module can be used properly.

13:UnicodeDecodeError/UnicodeEncodeError/UnicodeTranslateError

Unicode decoding / encoding / conversion / error

Thank you for your reading, the above is the content of "what are the common types of errors for beginners to Python?" after the study of this article, I believe you have a deeper understanding of the common types of errors for beginners in Python. Specific use also needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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