Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 1 | — | 0 | 1 | 1 100% | |
| HTMX for dynamic HTML HTMX | 1 | — | 0 | 1 | 1 100% |
| training.talkpython.fm/courses/data-science-jumpstart-with-10-projects?utm_source=talkpythondeepdive | 1 | — | 0 | 1 | 1 100% |
| Managing Python Dependencies | 1 | — | 0 | 1 | 1 100% |
| pytest testing framework pytest | 1 | — | 0 | 1 | 1 100% |
| Fundamentals of Dask | 1 | — | 0 | 2 | 2 100% |
| Talk Python | 1 | — | 0 | 1 | 1 100% |
| Modern Python Projects | 1 | — | 0 | 2 | 2 100% |
| training.talkpython.fm/courses/explore_beginners/python-for-absolute-beginners?utm_source=talkpythondeepdive | 1 | — | 0 | 1 | 1 100% |
| LLM Building Blocks for Python LLM Building Blocks for Python | 1 | — | 0 | 1 | 1 100% |
| MongoDB database MongoDB | 1 | — | 0 | 1 | 1 100% |
| Effective PyCharm | 1 | — | 0 | 1 | 1 100% |
| Python Jumpstart by Building 10 Apps. | 1 | — | 0 | 1 | 0 0% |
| Reactive Web Dashboards with Shiny | 1 | — | 0 | 1 | 1 100% |
| MongoDB with Async Python | 1 | — | 0 | 1 | 1 100% |
| Parallel Programming | 1 | — | 0 | 1 | 1 100% |
| Django: Getting Started | 1 | — | 0 | 4 | 4 100% |
| HTMX + Flask: Modern Python Web Apps, Hold the JavaScript | 1 | — | 0 | 2 | 2 100% |
| cost online | 1 | — | 0 | 1 | 1 100% |
| Build An Audio AI App | 1 | — | 0 | 1 | 1 100% |
| Getting started with pytest | 1 | — | 0 | 7 | 7 100% |
| Agentic AI and coding Agentic AI | 1 | — | 0 | 1 | 1 100% |
| Modern APIs with FastAPI and Python | 1 | — | 0 | 3 | 3 100% |
| https://training.talkpython.fm/courses/explore_100days_in_python/100-days-of-code-in-python | 1 | — | 0 | 1 | 1 100% |
| course | 1 | — | 0 | 1 | 1 100% |
| Write Pythonic Code Like a Seasoned Developer | 1 | — | 0 | 5 | 5 100% |
| Data science courses Data science | 1 | — | 0 | 1 | 1 100% |
| Eve: Building RESTful APIs with MongoDB and Flask | 1 | — | 0 | 1 | 1 100% |
| Browse all courses | 1 | — | 0 | 1 | 1 100% |
| Memory Management | 1 | — | 0 | 1 | 1 100% |
| Getting Started with NLP and spaCy | 1 | — | 0 | 1 | 1 100% |
| Build an Audio AI App with Python and AssemblyAI | 1 | — | 0 | 1 | 1 100% |
| Python Memory Management and Tips (Talk Python Training) | 1 | — | 0 | 1 | 1 100% |
| Just Enough Python for Data Scientists Course Just Enough Python for Data Scientists Course | 1 | — | 0 | 1 | 1 100% |
| Django web framework Django | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to training.talkpython.fm?
This page shows all anchor texts found in backlinks pointing to training.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 training.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 training.talkpython.fm have?
The anchor text report for training.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.