Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 1 | — | 0 | 1 | 1 100% | |
| Talk Python to Me #464: Seeing code flows and generating tests with Kolo | 1 | — | 0 | 3 | 3 100% |
| Website | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me: #319: Typosquatting and Supply Chains Vulnerabilities | 1 | — | 0 | 1 | 0 0% |
| Python Language Summit 2022 | 1 | — | 0 | 3 | 3 100% |
| Talk Python to Me #448: Full-Time Open Source Devs Panel | 1 | — | 0 | 1 | 1 100% |
| 17 Libraries You Should Be Using in Django | 1 | — | 0 | 5 | 5 100% |
| Talk Python to Me: #212 Python in Web Assembly with PyIodide | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me #311 – Get inside the .git folder | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #331: Meet the Python Developer in Residence: Lukasz Langa | 1 | — | 0 | 1 | 1 100% |
| HTMX for Django Developers (And All of Us) | 1 | — | 0 | 2 | 2 100% |
| seen a resurgence lately | 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 #177 – Flask goes 1.0 | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me #307 – Python from 1994 to 2021, my how you’ve grown! | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #218 – Serverless Python functions in Azure | 1 | — | 0 | 1 | 1 100% |
| More on YouTube | 1 | — | 0 | 63 | 63 100% |
| Talk Python to Me #123 – Lessons from 100 straight dev job interviews | 1 | — | 0 | 1 | 1 100% |
| podcast at Talkpython.fm | 1 | — | 0 | 1 | 1 100% |
| 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 #338: Using cibuildwheel to manage the scikit-HEP packages | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #391: Pyscript powered by MicroPython | 1 | — | 0 | 2 | 2 100% |
| #195 Teaching Python at Apple | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me #398: Imaging Black Holes with Python | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #109 – MongoDB Applied Design Patterns | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #235 – Python in your Browser with Skulpt | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #133 – Productivity for developers | 1 | — | 0 | 1 | 1 100% |
| Episode #88: легковесный Django | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me #452: Top Quart (async Flask) Extensions | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me #496 – Scaf: Complete blueprint for new Python Kubernetes projects | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me #472: State of Flask and Pallets in 2024 | 1 | — | 0 | 2 | 2 100% |
| talkpython.fm | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me: #317 Python at the US Federal Election Commission | 1 | — | 0 | 1 | 0 0% |
| Future of Pydantic and FastAPI | 1 | — | 0 | 5 | 5 100% |
| Talk Python to Me #72 – Fashion-driven open source software at Zalando | 1 | — | 0 | 2 | 2 100% |
| Read the original article | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #423: Solving 10 different simulation problems with Python | 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 #354: Sphinx, MyST, and Python Docs in 2022 | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me #266 – Refactoring your code, like magic with Sourcery | 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.