Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| TalkPython['Podcast'] 95 | 1 | — | 0 | 1 | 1 100% |
| Google Podcasts | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #445: Inside Azure Data Centers with Mark Russinovich | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me #320: Python in the Electrical Energy Sector | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #309 – What ML Can Teach Us About Life: 7 Lessons | 1 | — | 0 | 2 | 2 100% |
| Top 10 Real Python articles on 2019 | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #438: Celebrating JupyterLab 4 and Jupyter 7 Releases | 1 | — | 0 | 1 | 1 100% |
| Python History and Perspectives | 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 #85 – Parsing horrible things with Python | 1 | — | 0 | 1 | 1 100% |
| Talk Python in Production | 1 | — | 0 | 1 | 1 100% |
| Python 3.11 is here and it's fast | 1 | — | 0 | 3 | 3 100% |
| Talk Python to Me #49 – Microsoft’s JIT-based Python Project: Pyjion | 1 | — | 0 | 1 | 1 100% |
| fun online event | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me: #256 Click to run your notebook with Binder | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me: #255 Talking to cars with Python | 1 | — | 0 | 1 | 0 0% |
| Visit website | 1 | — | 0 | 9 | 9 100% |
| Talk Python to Me #363: Python for .NET and C# developers | 1 | — | 0 | 2 | 2 100% |
| Talk Python to Me: #279 Modern Python Developer's Toolkit | 1 | — | 0 | 1 | 0 0% |
| Talk Python to Me: #395: Tools for README.md Creation and Maintenance | 1 | — | 0 | 1 | 0 0% |
| 1 | — | 0 | 1 | 1 100% | |
| Talk Python to Me #475: Python Language Summit 2024 | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #458: Serverless Python in 2024 | 1 | — | 0 | 3 | 3 100% |
| Python Podcasts | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #469: PuePy: Reactive frontend framework in Python | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #412: PEP 711 – Distributing Python Binaries | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #233 – The Masonite Python Web Framework | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me Episode #504 – Developer Trends in 2025 | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #444: The Young Coder’s Blueprint to Success | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #392: Data Science from the Command Line | 1 | — | 0 | 1 | 1 100% |
| Parallelizing computation with dask | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #383: Textinator and Building macOS Apps with Python | 1 | — | 0 | 1 | 1 100% |
| Pydantic v2 - The Plan | 1 | — | 0 | 3 | 3 100% |
| 🎙️ Python and ML at NASA Jet Propulsion Laboratory (JPL) | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #259 – From Academia to Tech Industry and Python | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me: #209 Inside Python's new governance model | 1 | — | 0 | 1 | 0 0% |
| entretenu | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #138: Anvil - All web, all Python | 1 | — | 0 | 1 | 1 100% |
| PyPy - The JIT Compiled Python Implementation | 1 | — | 0 | 4 | 4 100% |
| Device Simulator Express | 1 | — | 0 | 1 | 1 100% |
| Talk Python Blog | 1 | — | 0 | 1 | 1 100% |
| Talk Python to Me #92 – Bonus: Python Bytes Crossover: Python 3.6 is going to be awesome, Kite: your friendly co-developing AI | 1 | — | 0 | 1 | 1 100% |
| 2025 Python Year in Review | 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.