Скачать с ютуб Python lists remember what you did to them в хорошем качестве

Python lists remember what you did to them

Two equal lists can take differrent amounts of memory! Two Python lists of the same size can take different amounts of memory, even if they contain exactly the same elements. A larger list can even take less memory than a smaller list. How can this be? Lists appear to remember more than just their elements, and somehow contain some information of their history. In this video we investigate this phenomenon. We see what the system getsizeof function returns and how the internal structure of a list is represented in order to find the answer. ― mCoding with James Murphy (https://mcoding.io) Source code: https://github.com/mCodingLLC/VideosS... libcst: https://libcst.readthedocs.io/en/late... AST linting vid:    • Python AST Parsing and Custom Linting   Structural pattern matching vid:    • The Hottest New Feature Coming In Python 3...   SUPPORT ME ⭐ --------------------------------------------------- Patreon:   / mcoding   Paypal: https://www.paypal.com/donate/?hosted... Other donations: https://mcoding.io/donate Top patrons and donors: Jameson, Laura M, Dragos C, Vahnekie, John Martin, Casey G BE ACTIVE IN MY COMMUNITY 😄 --------------------------------------------------- Discord:   / discord   Github: https://github.com/mCodingLLC/ Reddit:   / mcoding   Facebook:   / james.mcoding   CHAPTERS --------------------------------------------------- 0:00 Intro 1:01 Let's investigate 3:04 Under the hood of a list 4:23 How sys.getsizeof is calculated 5:06 Capacity 6:13 Why capacity != length 7:08 Geometric resizing 7:34 The answer in terms of capacities 9:19 Reality check 9:49 Thanks