Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Python sürümleri | 1 | — | 0 | 1 | 1 100% |
| the yield from construction | 1 | — | 0 | 1 | 1 100% |
| http://www.python.org/doc/lib/modules-gdbm.html>`_ | 1 | — | 0 | 1 | 1 100% |
| PEP 343 with语句 | 1 | — | 0 | 1 | 1 100% |
| Python blog | 1 | — | 0 | 1 | 1 100% |
| https://www.python.org/dev/peps/pep-0001/#pep-review-resolution | 1 | — | 0 | 1 | 1 100% |
| PEP 4 | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 2 | 2 100% | |
| "Python Streamlines Space Shuttle Mission Design" | 1 | — | 0 | 1 | 0 0% |
| see all downloads | 1 | — | 0 | 1 | 1 100% |
| PEP 554 (Multiple Interpreters in the Stdlib) | 1 | — | 0 | 1 | 0 0% |
| Py_NewInterpreter() | 1 | — | 0 | 1 | 1 100% |
| PEP-333 | 1 | — | 0 | 1 | 1 100% |
| 利用できます | 1 | — | 0 | 1 | 1 100% |
| Python's DB API 2.0 | 1 | — | 0 | 1 | 0 0% |
| Learn more | 1 | — | 0 | 1 | 1 100% |
| (page) | 1 | — | 0 | 1 | 1 100% |
| You can download Python 3.5.7 here. | 1 | — | 0 | 1 | 1 100% |
| Abigail Dogbe | 1 | — | 0 | 1 | 1 100% |
| http://www.python.org/dev/peps/pep-0398/ | 1 | — | 0 | 1 | 0 0% |
| http://python.org/sf/709744 | 1 | — | 0 | 1 | 0 0% |
| 3.11.0a6 | 1 | — | 0 | 2 | 2 100% |
| https://www.python.org/dev/peps/pep-0534/ | 1 | — | 0 | 1 | 1 100% |
| 3.11 | 1 | — | 0 | 1 | 1 100% |
| https://www.python.org/downloads/release/python-360b1/ | 1 | — | 0 | 1 | 1 100% |
| "PEP 289 – Generator Expressions" | 1 | — | 0 | 1 | 0 0% |
| http://www.python.org/dev/peps/pep-0343/ | 1 | — | 0 | 1 | 1 100% |
| Try Python.org’s shell | 1 | — | 0 | 1 | 1 100% |
| http://www.python.org/dev/peps/pep-0042/ | 1 | — | 0 | 12 | 5 41.7% |
| Audio Clip | 1 | — | 0 | 1 | 0 0% |
| http://www.python.org/doc/2.4.1/lib/module-os.path.html | 1 | — | 0 | 1 | 0 0% |
| PEP 582 | 1 | — | 0 | 28 | 0 0% |
| http://python.org/sf/585923 | 1 | — | 0 | 1 | 1 100% |
| PEP == Python Enhancement Proposal | 1 | — | 0 | 1 | 1 100% |
| type hints for the contents of collections | 1 | — | 0 | 1 | 1 100% |
| companies | 1 | — | 0 | 1 | 1 100% |
| PEP465 | 1 | — | 0 | 1 | 1 100% |
| PEP（PythonEnhancementProposals） | 1 | — | 0 | 1 | 1 100% |
| Supply Chain | 1 | — | 0 | 1 | 1 100% |
| の公式ウェブサイト | 1 | — | 0 | 1 | 1 100% |
| PEP-440 | 1 | — | 0 | 1 | 0 0% |
| download website | 1 | — | 0 | 1 | 1 100% |
| "Quotes about Python" | 1 | — | 0 | 1 | 0 0% |
| Read More | 1 | — | 0 | 1 | 1 100% |
| http://www.python.org/about/success/esr/ | 1 | — | 0 | 1 | 0 0% |
| Python 3.10 oder höher | 1 | — | 0 | 3 | 0 0% |
| https://www.python.org/）下载适合你操作系统的Python版本。安装完成后，可以在命令行输入`python | 1 | — | 0 | 1 | 1 100% |
| := | 1 | — | 0 | 1 | 1 100% |
| Python Software Foundation - Python 語言 | 1 | — | 0 | 1 | 1 100% |
| http://www.python.org/community/sigs/current/edu-sig/ | 1 | — | 0 | 1 | 0 0% |
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.