Do you guys have any feedback about https://letterwell.co allowing to find sponsors? I would be interested to know if it's effectively used by some newsletter creators. Source: over 4 years ago

I haven't found one for larger newsletters, would be a great resource.. I know of some sites that allow newsletter owners to sign-up to find advertisers/sponsors: https://store.tryletterhead.com/ and https://letterwell.co/. Source: about 5 years ago

Hey, I'm looking for newsletters where I can advertise my website and I wanted to ask if you know cool publishers who offer this in their newsletters? (something different from letterwell.co) Thanks in advance! Source: about 5 years ago

Been working on https://letterwell.co for a while now. Got 400+ email newsletters on the site and it's growing pretty steadily. Seen some unexpectedly good results for advertisers reporting higher ROI than Fb/IG ads... Source: about 5 years ago

A great email marketing resource is https://letterwell.co Loads of super successful email newsletters on there making quite a lot of money. Source: over 5 years ago

The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 11 months ago

As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago

Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago

IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago

Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago