Python is one of the most popular programming languages and the easiest to learn as well. However, all these things still don’t overshadow the fact that to learn a programming language you need to be able to solve any problems that might show up between writing code and running your program.
In this article, we’re talking about Python’s memory error, what causes it and how you can solve the problem.
Also read: What is an Abstract class in Python?
What causes the Python Memory Error?
Python memory errors generally occur when your system runs out of memory to execute your program. This usually happens when you’ve loaded your entire dataset into the memory.
Instead of loading your entire dataset into the memory at once, you should split it up into parts or batches and access them one at a time.
How to solve Python Memory Error?
If your program is running out of memory quite often, it could be because you’re using the 32-bit version of Python. Windows and most other operating systems limit 32-bit programs to 2GB of RAM, which can severely limit the memory space you might need.
32-bit systems are mostly limited to only about 4GB of RAM anyway, which means you don’t have a lot of RAM. Now add other system resources running on your PC, and you can run out of RAM rather quickly.
We recommend using the 64-bit version and upgrade to Python 3 if you haven’t already to get around this error. Yes, it will use more memory, but you’ll also have a much higher upper cap for memory space and actual physical RAM.
Freeing up memory in scripts
Python uses garbage collection and built-in memory management to ensure that programs and scripts only use as much memory as they need.
To force release unreferenced memory when running a script, use the gc.collect() method before you start coding your script. Just make sure to import the gc class using import gc.
Also read: How to find the length of a list in Python?
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