Learnings

<p>Python Sets Quiz: </p>

<p>report on the status of Customer Success Management in the world page 17 has a very good list of possible metrics to use to measure customer success</p>

<p>A library of animated icons to make your UI more friendly </p>

<p>Things you should be using in python 3 </p>

<p>When tunelling through Ngrok you can rewrite the Host header of the request so the server knows how to treat it #http-host-header</p>

<p>Scrum is a solution, not a goal. Understanding your agile needs first. </p>

<p>“While acceptance is good to control the development life-cycle of the feature, success is about mid/long-term impact and value created for real users of your product.” </p>

<p>Debugging-friendly tracebacks for Python: </p>

<p>Pattern, a user-friendly Python library for Natural Language Processing: </p>

<p>“What are the key qualities of a great Product Leader? What makes a great Product Manager?” </p>

<p>GitBook, a must read to understand how Git works </p>

<p>The machine learning's bias problem. Using word embeddings to generate associative words can lead you to really weird things like: Computer Programmer - Man + Woman = housewife (?) </p>

<p>Nine Django Tips for Working with Databases </p>

<p>Website pre &amp; post launch checklist </p>

<p>Never remove CSS outlines, it will undermine accessibility </p>

<p>Smaller Python Docker Containers with Multi-Stage Builds and Python Wheels </p>

<p>a small but well curated UI pattern library </p>

<p>the advantages and drawbacks of different rating systems </p>

<p>Great blogpost about data anonymization: </p>

<p>the UI and UX of rating content on mobile </p>

<p>Using S3 to store Django site's media and static files </p>

<p>Nice podcast episode on analyzing metrics and taking action on it: </p>

<p>Javascript sets are a thing: </p>

<p>Never use print for debugging again: </p>