Python Object Model: How CPython Represents Everything as an Object
The article explains how CPython represents all data as objects using C structures, with every object sharing a common header for reference counting and type information. Fixed-length and variable-length objects are implemented through PyObject and PyVarObject structs, respectively. Examples include PyFloatObject for floats and PyListObject for lists, illustrating how different data types are internally structured.
- ▪CPython implements all Python objects as C structs, with PyObject serving as the base structure.
- ▪Every PyObject contains a reference count for garbage collection and a pointer to its type object.
- ▪Variable-length objects like lists use PyVarObject, which extends PyObject with an ob_size field.
- ▪Floats are represented by PyFloatObject, a fixed-length object containing a double value.
- ▪Lists are implemented as PyListObject, which includes a dynamic array of pointers and a field for allocated size.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/jamesli/python-object-model-how-cpython-represents-everything-as-an-object-5h9c |
| Publication time | Sun, 17 May 2026 06:23:36 +0000 |
| Retrieval time | 2026-05-17T07:03:59.097Z |
| Last seen | 2026-05-17T07:03:59.097Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | CYE-ggtU18d0 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2415836) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } James Lee Posted on May 17 Python Object Model: How CPython Represents Everything as an Object #tutorial #computerscience #python #programming Python & CPython Internals: From Source Code to Execution (5 Part Series) 1 Python Memory Optimization: How CPython's Memory Pool Works 2 Python GIL: Why One Lock Rules the Entire Interpreter 3 Python dict Internals: Hash Tables, Collision Resolution, and Hash Attacks 4 Python list Internals: How Dynamic Arrays Work Under the Hood 5 Python…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
