Reason To Why Should You Not Learn Python In 2020

Reason To Why Should You Not Learn Python In 2020

Hello Programmers,

Today we will discuss some reason why should you not learn python in 2020. As we know according to programming list python stand on position 2nd because of his feature and working.

In python, there is a number of features who make python a unique and powerful language but beyond this, there is some reason not to learn python.

So in this blog, we discuss these feature one by one.

1) Slowness:

Python is slower language as compared to many other languages.

Python is a slower language because it is an interpreted language.

This amplifies the number of actual CPU instruction required in order to perform a given statement. 

C/C++ is relatively fast as compared to Python because when you run the Python script, its interpreter will interpret the script line by line and generate output but in C, the compiler will first compile it and generate an output which is optimized with respect to the hardware. 

In the case of other languages such as Java and .NET, java bytecode and .NET bytecode respectively run faster than Python because of a JIT compiler compiles bytecode to native code at runtime.

As we know interpreted code is always slower than direct machine code because it takes a lot more instruction in order to implement an interpreted instruction than to implement an actual machine instruction.

2) Mobile Development:

One of the Python drawbacks is that it is not native to the mobile environment. 

Neither of the major mobile platforms supports Python as an officially programming language.

The steady decline in mobile web usage has made it essential for modern businesses to launch mobile apps. Often developers have to write mobile apps in a particular programming language according to the targeted mobile platform. For instance, they need to write an iOS app in either Objective-C or Swift. Likewise, mobile apps for Android need to be written in Java. But the developers cannot use Python directly for developing mobile apps by targeting any popular mobile platforms. They have to use frameworks like Kivy to build cross-platform mobile apps using Python.

3) Database Access:

There are some limitations in Python with database access. As compared to popular technologies like JDBC and ODBC. Python database access layer is a bit underdeveloped and primitive.  

However, it cannot be applied in the enterprises that need smooth interaction of complex legacy data

4) Runtime Error:

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 runtime.

5) 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.

6) Depend on Third-Party Framework and Library: 

Python lacks a number of features provided by other modern programming languages. So the programmers have to use a number of third-party frameworks and tools to build web applications and mobile apps in Python. However, they need to use open-source frameworks and libraries to avoid increasing project overheads. The cost factor restricts the developers from availing the advanced features and functionality provided by commercial frameworks.



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