Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Talk Python Training | 3 | — | 0 | 4 | 4 100% |
| 2 | — | 0 | 2 | 2 100% | |
| Python for Absolute Beginners | 2 | — | 0 | 44 | 44 100% |
| Courses | 2 | — | 0 | 102 | 102 100% |
| Building Data-Driven Web Apps with Flask and SQLAlchemy | 2 | — | 0 | 7 | 7 100% |
| Python for Entrepreneurs video course | 1 | — | 0 | 1 | 1 100% |
| Agentic AI Programming for Python Agentic AI Programming for Python | 1 | — | 0 | 1 | 1 100% |
| HTMX + Django | 1 | — | 0 | 1 | 1 100% |
| Move from Excel to Python with Pandas?utm_source=talkpythondeepdive | 1 | — | 0 | 1 | 1 100% |
| 100 Days of Web with Python | 1 | — | 0 | 1 | 0 0% |
| Async Techniques and Examples in Python (Talk Python course) | 1 | — | 0 | 1 | 1 100% |
| https://training.talkpython.fm/. | 1 | — | 0 | 1 | 1 100% |
| Git version control Git | 1 | — | 0 | 1 | 1 100% |
| https://training.talkpython.fm/courses/details/python-language-jumpstart-building-10-apps | 1 | — | 0 | 1 | 1 100% |
| Flask web framework Flask | 1 | — | 0 | 1 | 1 100% |
| Full Web Apps with FastAPI | 1 | — | 0 | 1 | 1 100% |
| Effective PyCharm Course (Talk Python Training) | 1 | — | 0 | 1 | 1 100% |
| courses RSS | 1 | — | 0 | 2 | 2 100% |
| Python-powered chat apps with Twilio and SendGrid Course | 1 | — | 0 | 1 | 0 0% |
| training.talkpython.fm | 1 | — | 0 | 5 | 5 100% |
| #100DaysOfWeb in Python | 1 | — | 0 | 1 | 1 100% |
| developer’s privacy policy | 1 | — | 0 | 1 | 0 0% |
| Up and Running with Git | 1 | — | 0 | 2 | 2 100% |
| Anvil: Web Apps with Nothing but Python | 1 | — | 0 | 1 | 1 100% |
| Python Data Visualization | 1 | — | 0 | 2 | 2 100% |
| Getting Started with pytest | 1 | — | 0 | 1 | 1 100% |
| Introduction to Ansible | 1 | — | 0 | 1 | 1 100% |
| Learn about team plans | 1 | — | 0 | 1 | 1 100% |
| training.talkpython.fm/courses/data-science-jumpstart-with-10-projects?utm_source=talkpythondeepdive | 1 | — | 0 | 1 | 1 100% |
| Python 3.11: A Guided Tour Through Code | 1 | — | 0 | 3 | 3 100% |
| Rock Solid Python with Python Typing | 1 | — | 0 | 2 | 2 100% |
| #100DaysOfCode in Python from Talk Python Training | 1 | — | 0 | 1 | 1 100% |
| Fundamentals of Dask | 1 | — | 0 | 2 | 2 100% |
| Talk Python | 1 | — | 0 | 1 | 1 100% |
| Python for Absolute Beginners (Talk Python Course) | 1 | — | 0 | 1 | 1 100% |
| Python for Absolute Beginners (Talk Python Training) | 1 | — | 0 | 1 | 1 100% |
| Getting Started with NLP and spaCy (Talk Python Course) | 1 | — | 0 | 1 | 1 100% |
| Python programming language Python | 1 | — | 0 | 1 | 1 100% |
| Developer Website | 1 | — | 0 | 1 | 0 0% |
| Move from Excel to Python with Pandas | 1 | — | 0 | 6 | 6 100% |
| talkpython.fm | 1 | — | 0 | 1 | 1 100% |
| FastAPI web framework FastAPI | 1 | — | 0 | 1 | 1 100% |
| Async Python programming Async | 1 | — | 0 | 1 | 1 100% |
| Async Techniques and Examples in Python | 1 | — | 0 | 4 | 4 100% |
| Getting started with pytest | 1 | — | 0 | 7 | 7 100% |
| HTMX + Django: Modern Python Web Apps, Hold the JavaScript | 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% |
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.