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Why Python Failed & Not Sustainable To penetrate The Enterprise Development?
- The absence of a commercial support point, even for an Open Source project (though this situation is changing)
- Software performance (even though benchmarks repeatedly demonstrate that Python is comparable to Java in most applications)
- Python has not been billed as fast in terms of runtime speed as compiled languages, such as C++
- Since Python is easily used in conjunction with other languages, in a situation where users require a more structured language, they leverage Python to accentuate the development efforts. Now, this can only be done if users have a robust technology stack and framework, which will allow them to retain the benefits of using C++ for critical code while scripting around it using the flexibility of Python.
- Even though Python has been billed to be strong in desktop and server platforms, it is weak on mobile platforms. Also, there are only a handful of smartphone apps developed using Python, and the language is rarely seen in the client side of web development applications.
- In terms of package maturity and availability, the programming language is by and large driven by a community of volunteers who would not have time to document and support every module.
- Python has certain design restrictions. Python developers often talk about the design restrictions in the language since it is dynamically typed. This means it requires more testing and errors to turn up only during runtime.
- There are also several challenges with matplotlib, a non-interactive plotting package. For example, there is a lack of uniformity in interfaces for various methods and functions.