Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Talk Python to Me #142 – Automating the web with Selenium and InstaPy | 1 | — | 0 | 1 | 1 100% |
| the transcript is here | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #460: Dropbase: Build Internal Tools with Python | 1 | — | 0 | 1 | 1 100% |
| Sphinx, MyST, and Python Docs in 2022 | 1 | — | 0 | 4 | 4 100% |
| Talk Python to Me #331: Meet the Python Developer in Residence: Lukasz Langa | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #253 – Moon base geekout | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #434: Building Mobile Apps Backed with Python | 1 | — | 0 | 3 | 3 100% |
| Screenshot of Talk Python Podcast | 1 | — | 0 | 8 | 8 100% |
| Talk Python to Me #307 – Python from 1994 to 2021, my how you’ve grown! | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #162 – Python in Building and Architecture | 1 | — | 0 | 2 | 2 100% |
| эпизод 377 | 1 | — | 0 | 1 | 0 0% |
| Say Hello to PyScript | 1 | — | 0 | 1 | 1 100% |
| Learning (and teaching) Python in a vacuum | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #380: 7 lessons from building a modern TUI framework | 1 | — | 0 | 1 | 1 100% |
| the episode here | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #377: Python Packaging and PyPI in 2022 | 1 | — | 0 | 1 | 1 100% |
| Django Trends in 2023 | 1 | — | 0 | 7 | 7 100% |
| Talk Python to Me #519 – Data Science Cloud Lessons at Scale | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me #419: Debugging Python in Production with PyStack | 1 | — | 0 | 1 | 1 100% |
| Clean Code in Python | 1 | — | 0 | 5 | 5 100% |
| Talk Python to Me #145 – 2017 Python Year in Review | 1 | — | 0 | 1 | 1 100% |
| Podcast Website | 1 | — | 0 | 1 | 1 100% |
| Learning How to Learn as a Developer | 1 | — | 0 | 1 | 1 100% |
| Parolu Python al Mi | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me #75 – Pythonic games at CheckIO | 1 | — | 0 | 1 | 1 100% |
| Talk Python in Production book cover | 1 | — | 0 | 3 | 3 100% |
| Google Podcasts | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #368: End-to-End Web Testing with Playwright | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #234 – Awesome Python Applications | 1 | — | 0 | 1 | 1 100% |
| https://talkpython.fm/episodes/show/503/the-pyarrow-revolution | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me Episode #505 – t-strings in Python (PEP 750) | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me: #278 Teach kids Python with real programming and fun games at Code Combat | 1 | — | 0 | 1 | 0 0% |
| Python Perf: Specializing, Adaptive Interpreter | 1 | — | 0 | 3 | 3 100% |
| Talk Python to Me #323: Best practices for Docker in production | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #417: Test-Driven Prompt Engineering for LLMs with Promptimize | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #534 – diskcache: Your secret Python perf weapon | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me: #396: AI Goes on Trial For Writing Code (crossover) | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me #237 – A gut feeling about Python | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #334: Microsoft Planetary Computer | 1 | — | 0 | 1 | 1 100% |
| Talk Python To Me podcast | 1 | — | 0 | 3 | 3 100% |
| Talk Python to Me #347: Cinder – Specialized Python that Flies | 1 | — | 0 | 1 | 1 100% |
| TalkPython['Podcast'] 95 | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #309 – What ML Can Teach Us About Life: 7 Lessons | 1 | — | 0 | 2 | 2 100% |
| Python History and Perspectives | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #37 Python Cybersecurity and Penetration Testing | 1 | — | 0 | 1 | 1 100% |
| Higher level Python asyncio with AnyIO | 1 | — | 0 | 3 | 3 100% |
| 1 | — | 0 | 1 | 0 0% | |
| Talk Python to Me #143 – Tuning Python Web App Performance | 1 | — | 0 | 4 | 4 100% |
| Blog | 1 | — | 0 | 64 | 64 100% |
| GitHub | 1 | — | 0 | 63 | 63 100% |
Frequently Asked Questions
What anchor texts are used to link to talkpython.fm?
This page shows all anchor texts found in backlinks pointing to talkpython.fm, 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 talkpython.fm.
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 talkpython.fm have?
The anchor text report for talkpython.fm 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.