![]() ![]() When the counter reaches zero, the garbage collector deallocates the memory occupied by the value, because the value is no longer used. Similarly, when you remove the value from a collection, the program exits a function (so it cannot use the parameter anymore), you set the value to None, override it with a different value or remove the variable (using the “del” statement), the counter gets decreased. The counter is used to count references to the value.Įvery time you assign the value to another variable or a property of an object, pass it as a parameter or add the value to a collection, the counter gets increased. When it happens, the garbage collector not only gives you the memory you need to store the value, but it also creates a counter. ![]() Reference countingĮvery time you create a new value (whatever it is, a number, string, object, etc.) Python needs to allocate memory for that new value. The memory deallocation mechanism relies on two implementations: reference counting and generational garbage collection. A garbage collector is a module responsible for automated allocation and deallocation of memory. Unfold one of the end of the paperclip (as shown above) and use it as an ejector tool.In this article, I am going to show you how memory management works in Python, and how it affects your code running in Jupyter Notebook.įirst, I have to describe the garbage collection mechanism. If you lost the ejector tool, don’t panic! It is easy to replace it with a very common object: a paper clip. What can I do if I lost the ejector tool? Note: For less demanding use, such as still photography, regular microSD or microSDHC cards will be sufficient.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |