Archive - Page 9
Plotting in Seaborn
Seaborn is a Python plotting library based on Matplotlib. It gives you a set of simple plotting functions, and lets you access Matplotlib when you want to tweak things.
Its use of ’tidy data’ makes its interface especially neat, and you can even ask it for colours such as ’light eggplant' and ‘cloudy blue’! Here’s a guide to using it.
Two-Factor Authentication with Anvil
Protect your users, even if their passwords are compromised.
You can now add two-factor authentication to any Anvil app - all it takes is the tick of a box!
Hunting the Coronavirus with Anvil
How I Built Calendly in 3 Hours
How long does it take to prototype a startup?
Stuart found out by rebuilding a working version of Calendly, the invaluable meeting scheduling app. And the answer is that you can be really fast, if you use the right tools.
Tracking the Iron Dog Race with Python
It’s a two-thousand-mile race, across some of the most remote terrain in America. So how do you bring the action to the spectators?
We learned how this massive enterprise is coordinated – and how they use web apps to bring the audience along for the ride.
Plotting in Plotly
Plotly is a plotting ecosystem with powerful Python APIs that also includes client-side interactivity. Of course, this makes it a great fit for Anvil!
As part of our tour of Python plotting libraries, Shaun walks us through how to use Plotly from Python.
Why We Open Sourced the Anvil App Server
We keep getting asked, “Why did you open-source such a core part of your product?”
Meredydd explains why our open-source App Server was the best way to fix web development for more people – and doesn’t change Anvil’s business model as much as you might think.
The Anvil Runtime Engine is Now Open Source
We are excited to announce that the Anvil Runtime and App Server are now open source!
Export your app from the Anvil Editor and host it anywhere – the power is all yours.
Mongolian Data Science Adventures
Plotting in Matplotlib
Matplotlib is the wise old sage in the plotting village. While some other plotting libraries have simpler interfaces, Matplotlib’s strength is the precise control you have over your plots.
It is still the most popular Python plotting library, based on PyPi downloads per month.