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Python is a very popular programming language among developers and is very easy to understand. Its syntax is also very simple and easy to understand, just like JAVA and C. But this popular language also has some problems, one of the main problems is that it takes too long to start.
Maybe the system configuration is not exactly the same, especially for Python.
Malware viruses are slowing down the windows system.
Too many applications running on the window system so python is not getting the proper resources.
As you know, Python is slower than languages like Java, C and C, which are statically typed languages, even Python is slower than dynamically typed languages like JavaScript. Python is a dynamically typed language, so we do not need to specify the data type of the variable when assigning values. But in statically typed languages, the data type of the variable needs to be specified, so when Python is executed, the compiler checks the data type and allocates memory for the variable according to the given value, which takes some time to execute the program, but for statically typed languages, Each variable is specified early in the code so they don't take much time to execute.
GIL stands for Global Interpreter Lock; it is a process lock. GIL is a part of multi-threaded programming that allows only one thread to be executed. Even if the system's CPU has multiple cores and is using a multi-threaded architecture, the GIL limits Python's execution time. There are many interpreters for Python such as Cpython, PyPy, Jython, you can try them if you want.
Sometimes code takes too much memory. Maybe a programmer using many variables or any other data structure. So if we are using too much memory, the compiler takes time to allocate the memory to variables and data structures thus it takes time to execute also it acquires large memory.
In some codes, we use many loops to iterate any data structure. Additionally, some algorithms such as sorting take too long. Additionally, a programmer may write the same code that is used most of the time in the program. These time-consuming algorithms and duplication of lines of code force the compiler to spend more time displaying the output.
So these may be some reasons why Python startup time is too long.
Use a compatible system with the same configuration for Python.
Try to use less memory or use memory efficient data structures.
Write optimized code to make it time efficient.
Make your computer malwares and viruses free.
Don't run so many applications in the background if your system configuration is low because it causes more resource usage.
Sometimes there may be some errors that cause the startup time to be longer.
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