Limitations of Python

There are some limitations of Python

• Performance wise not up to the mark b'z it   is interpreted language.
• Not using for mobile application.
• Speed. Python is slower than C or C++. ...
• Mobile Development. Python is not a very good language for mobile development . ...
• Memory Consumption. Python is not a good choice for memory intensive tasks. ...
• Database Access. Python has limitations with database access . ...
• Runtime Errors.

Speed

Python is slower than C or C++. But of course, Python is a high-level language, unlike C or C++ it's not closer to hardware.

Mobile Development

Python is not a very good language for mobile development . It is seen as a weak language for mobile computing. This is the reason very few mobile applications are built in it like Carbonnelle.

Memory Consumption

Python is not a good choice for memory intensive tasks. Due to the flexibility of the data-types, Python's memory consumption is also high.

Database Access

Python has limitations with database access . As compared to the popular technologies like JDBC and ODBC, the Python's database access layer is found to be bit underdeveloped and primitive . However, it cannot be applied in the enterprises that need smooth interaction of complex legacy data .

Run-time Errors

Python programmers cited several issues with the design of the language. Because the language is dynamically typed , it requires more testing and has errors that only show up at run-time .