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Heard about limitations of Python?
Yes, there are limitations of Python. You might want to keep in mind when you pick Python.
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As we know, Python is a popular and versatile programming language used in various domains, including web development, data science, and machine learning. However, like any other language, it has its limitations that developers should consider before choosing it for a specific task. Here are some of the limitations of Python.
Mobile app development: One of the main limitations of Python is that it is not a suitable choice for developing mobile applications. Python does not have extensive support for developing native mobile applications, and its libraries are not well-suited for mobile app development.
Enterprise applications: Python may not be the best choice for developing large-scale enterprise applications, particularly in the banking and telecom industries. These industries require a high level of security, and Python may not have the necessary libraries to provide the required level of security.
Performance: Python is an interpreted language, which means that it is executed line by line. This can result in slow performance when compared to compiled languages like C++. However, there are some solutions to improve Python's performance, such as PyPy, which is a just-in-time (JIT) compiler for Python.
Backward compatibility: Unlike Java, where each new version supports the old versions, Python does not have backward compatibility between different versions. Python 2.x is not an extension of Python 3.x, which means that developers cannot use the same code for both versions. This can be challenging when transitioning from one version to another.
Limitations in libraries: Python has an extensive library ecosystem, but there are still some areas where it lacks libraries. For instance, Python does not have support for low-level programming, and its libraries are not well-suited for developing embedded systems.
In short, Python is a powerful and versatile language that is suitable for many tasks. However, developers should be aware of its limitations and choose the right tools for the job. Despite its limitations, Python's vast library ecosystem and ease of use make it an attractive choice for many developers.