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Check the traffic stats of Pycoder's Weekly on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Pycoder's Weekly on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Pycoder's Weekly's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Pycoder's Weekly on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Pycoder's Weekly on Reddit. This can help you find out how popualr the product is and what people think about it.
PyCoder's Weekly[https://pycoders.com/] is a good newsletter for learning more about Python. - Source: Hacker News / over 2 years ago
Coincidentally, I just saw the article How to Evaluate the Quality of Python Packages on the latest PyCoder's Weekly. Source: over 2 years ago
There are many podcasts that will keep you in touch. And also https://pycoders.com/ weekly newsletter. Source: over 2 years ago
You can go to the home page of PYPI and have a look at the list of trending packages, but I'd suggest following a good podcast like Talk Python to Me or Pycoders Weekly. They often feature interesting new packages. Source: almost 3 years ago
Recommend reading PyCoders weekly newsletter every Thursday. Source: about 3 years ago
Check out Pycoders weakly > https://pycoders.com/. Source: over 4 years ago
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