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How to Solve Python TypeError: ‘int’ object is not callable

by Suf | Jul 11, 2022 | Programming, Python, Tips

If you try to call an integer as if it were a function, you will raise the error “TypeError: ‘int’ object is not callable”. To solve this error, ensure that you do not override names for built-in functions like int() or round(). For example,...

How to Solve Python TypeError: ‘set’ object is not callable

by Suf | Jul 9, 2022 | Programming, Python, Tips

This error occurs when you try to call a set object by putting parentheses () after it like a function. Only functions respond to function calls. You can solve this error by ensuring you do not override the name for the built-in function set. For example, my_list =...

How to Solve Python TypeError: object of type ‘float’ has no len()

by Suf | Jul 9, 2022 | Programming, Python, Tips

This error occurs when you pass a float to a len() function call. Floats are real numbers written with a decimal point dividing the integer and fractional parts. In Python, numerical values do not have a length. You can solve the error by only passing iterable objects...

How to Solve Python TypeError: object of type ‘int’ has no len()

by Suf | Jul 8, 2022 | Programming, Python, Tips

This error occurs when you pass an integer to a len() function call. Integers are whole numbers without decimals. In Python, numerical values do not have a length. You can solve the error by only passing iterable objects to the len() function. For example, you can...

How to Solve Python ValueError: too many values to unpack (expected 3)

by Suf | Jul 7, 2022 | Programming, Python, Tips

Python raises ValueError when a function receives an argument with a correct type but an invalid value. Python valueerror: too many values to unpack (expected 3) means the number of variables does not match the number of values you want to unpack. You can solve the...

How to Solve Python TypeError: ‘numpy.int64’ object is not iterable

by Suf | Jul 6, 2022 | Programming, Python, Tips

This error occurs when you try to iterate over a numpy.int64 object, for example, using a for loop. You can solve this error by passing it to the range() method to get an iterable to iterate over. For example, import numpy as np arr = np.array([3, 7, 8, 4, 9],...
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