#STACK VS HEAP PERSISTENT CODE#
One of them has written a more memory-efficient code which results in a faster-performing app. However, say you have two developers who have used Python in developing the same app and they have completed it within the same amount of time. In the tech world, you may have heard that "done is better than perfect".
#STACK VS HEAP PERSISTENT FREE#
This is caused by the failure to free used memory after the processes terminate. Another benefit is that it prevents memory leak, a problem which causes RAM usage to continuously increase even when processes are killed, eventually leading to slowed or impaired device performance.The great thing about writing code that is memory-efficient is that it does not necessarily require you to write more lines of code. More available RAM would generally mean more room for cache, which will help speed up disk access. It leads to faster processing and less need for resources, namely random access memory (RAM) usage.So what do we get out of writing memory-efficient code? Ultimately, you can enforce it as a habit that can potentially be adopted in other programming languages that you know. However, having a good understanding of Python memory management is a great start that will enable you to write more efficient code. Due to its simplicity, however, Python does not provide you much freedom in managing memory usage, unlike in languages like C++ where you can manually allocate and free memory. Ever heard of the Python memory manager? It is the manager keeping Python's memory in check, thus enabling you to focus on your code instead of having to worry about memory management. How so? Python memory management is implemented in a way that makes our life easier. Python's memory management plays a role in its popularity, too. While Python is not the fastest language out there, its great readability coupled with unrivaled community support and library availability has made it extremely attractive for getting things done with code. This is largely due to its super friendly syntax and its applicability for just about any purpose. However, according to the 2020 Stack Overflow Developer Survey results, Python is the 2nd most popular programming language behind JavaScript (as you may have guessed). Python is not known to be a "fast" programming language.
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