Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| PEP 445 | 2 | — | 0 | 3 | 3 100% |
| 3.10.2 | 2 | — | 0 | 2 | 1 50% |
| PEP 657 | 2 | — | 0 | 6 | 6 100% |
| منبع | 2 | — | 0 | 2 | 1 50% |
| PEP 234 | 2 | — | 0 | 4 | 4 100% |
| Python Developer’s Guide | 2 | — | 0 | 2 | 2 100% |
| 2.6 | 2 | — | 0 | 2 | 2 100% |
| Hecho en Python | 2 | — | 0 | 14 | 14 100% |
| Python Language | 2 | — | 0 | 2 | 2 100% |
| https://www.python.org/dev/peps/pep-0420/ | 2 | — | 0 | 2 | 2 100% |
| site do Python | 2 | — | 0 | 2 | 2 100% |
| Python Software Foundation (PSF) | 2 | — | 0 | 3 | 3 100% |
| https://www.python.org/dev/peps/pep-0590 | 2 | — | 0 | 2 | 2 100% |
| PEP 325 | 2 | — | 0 | 2 | 1 50% |
| Python 3.8 ou superior | 2 | — | 0 | 2 | 1 50% |
| Python 2.7/3.4 或更高版本 | 2 | — | 0 | 4 | 4 100% |
| Python Interpreter | 2 | — | 0 | 2 | 2 100% |
| PEP 436 | 2 | — | 0 | 3 | 3 100% |
| Python 惯例 | 2 | — | 0 | 6 | 6 100% |
| http://www.python.org/download/releases | 2 | — | 0 | 2 | 2 100% |
| Download Python here | 2 | — | 0 | 2 | 1 50% |
| community | 2 | — | 0 | 2 | 2 100% |
| Python Documentation | 2 | — | 0 | 2 | 2 100% |
| Python Enhancement Proposals (PEPs) | 2 | — | 0 | 2 | 2 100% |
| PEP8 Style Guide | 2 | — | 0 | 2 | 1 50% |
| Python 语言 | 2 | — | 0 | 2 | 2 100% |
| Source | 2 | — | 0 | 2 | 2 100% |
| https://www.python.org/downloads/release/python-3120a6/ | 2 | — | 0 | 3 | 2 66.7% |
| https://www.python.org/dev/peps | 2 | — | 0 | 3 | 3 100% |
| PEP 591 | 2 | — | 0 | 5 | 5 100% |
| Download and install | 2 | — | 0 | 9 | 8 88.9% |
| Enlace Externo | 2 | — | 0 | 2 | 2 100% |
| The Python Programming Language | 2 | — | 0 | 2 | 2 100% |
| Getting started with Python | 2 | — | 0 | 4 | 4 100% |
| Windows x86-64 için Python 3.6 | 2 | — | 0 | 5 | 5 100% |
| PEP 483 | 2 | — | 0 | 5 | 5 100% |
| Python (opens new window) | 2 | — | 0 | 3 | 3 100% |
| ここ | 2 | — | 0 | 2 | 2 100% |
| https://www.python.org/dev/peps/pep-0602/ | 2 | — | 0 | 2 | 2 100% |
| Site officiel | 2 | — | 0 | 3 | 0 0% |
| Windows help file | 2 | — | 0 | 11 | 11 100% |
| PEP 644 | 2 | — | 0 | 2 | 2 100% |
| PEP 673 | 2 | — | 0 | 5 | 5 100% |
| PEP 0 | 2 | — | 0 | 2 | 1 50% |
| PEP 553 | 2 | — | 0 | 2 | 1 50% |
| Python Library Reference | 2 | — | 0 | 3 | 2 66.7% |
| Unifying types and classes in Python 2.2 | 2 | — | 0 | 2 | 1 50% |
| official Python source code webpage | 2 | — | 0 | 2 | 0 0% |
| 3.7.1 | 2 | — | 0 | 2 | 2 100% |
| PEP-561 Distributing and Packaging Type Information | 2 | — | 0 | 2 | 2 100% |
Frequently Asked Questions
What anchor texts are used to link to python.org?
This page shows all anchor texts found in backlinks pointing to python.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe python.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does python.org have?
The anchor text report for python.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.