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Machine learning is often thought to be too complicated for everyday development tasks. We often associate it with things like big data, data mining, data science, and artificial intelligence. Sometimes it feels something like this:

We use Go for a lot of our server development here at Mailgun, and it’s great. Coming from Python, though, there is one thing I really missed:

Transactional emails are triggered by your users for everything from password resets to abandoned cart reminders. Creating strong templates for these emails goes a long way when you’re building a reputation. Learn how to create personalized templates that won’t glitch in this post.

Back in 2011 we had several customers ask us for a high level message parsing API that they could use to strip signatures and quotes from an email like you see below:

OptimizeImprove inbox placement and connect with more people.

OptimizeImprove inbox placement and connect with more people.

OptimizeImprove inbox placement and connect with more people.