Introduction to Web Development for Data Scientists

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • Flask

    The Python micro framework for building web applications.

    Flask is an alternative Python library, often compared with Django: "a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications". As can be seen from the source code, it can spin up a Hello World API routing example in just a few lines of extremely simple, Pythonic code. I personally wanted to explore heavier features such as front-end admin panels without spending too much time on a learning curve, so did not delve deeper into Flask - one to revisit in future.

  • Host-a-Static-Website-with-Hugo-and-NGINX-on-Ubuntu-16.04

    Host a Static Website with Hugo and NGINX on Ubuntu 16.04

    A nice SSG is Hugo, which can be used to quickly set up a blog. It is trivial to then host these static files on a CDN hosting service like Netlify or GitHub Pages, although deploying through an Nginx server is also very doable.

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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