Rabbit Escape 0.12 out now, with water

The newest feature of Rabbit Escape, water, has been brewing a long time, but we now think it’s ready:

Water can flow, it can put out fires, and it can drown rabbits.

Rabbots seem to be immune though…

Check out the 20 new levels we have released! (This makes a total of 180 levels.)

It works on Windows, Linux, Mac OS and Android.

Convert a video to a GIF with reasonable colours

Here’s a little script I wrote to avoid copy-pasting the ffmpeg command from superuser every time I needed it.

It converts a video to a GIF file by pre-calculating a good palette, then using that palette.


./to_gif input.mp4 output.gif

The file to_gif (which should be executable):


set -e
set -u

# Credit: https://superuser.com/questions/556029/how-do-i-convert-a-video-to-gif-using-ffmpeg-with-reasonable-quality


PALETTE=$(tempfile --suffix=.png)

ffmpeg -y -i "${INPUT}" -vf palettegen "${PALETTE}"
ffmpeg -y -i "${INPUT}" -i "${PALETTE}" \
    -filter_complex "fps=15,paletteuse" "${OUTPUT}"

rm -f "${PALETTE}"

Note: you might want to modify the number after fps= to adjust how fast the video plays.

Python Async basics video (100 million HTTP requests)

I found something difficult in Python, which was a bit of a first, so I wrote a whole blog series about it, and now a whole video:

Slides: Python Async Basics slides

Blog posts: asyncio basics, large numbers in parallel, parallel HTTP requests, adding to stdlib

London Python Meetup January 2019 – Async Python and GeoPandas

It was a pleasure to go to the London Python Meetup organised by @python_london. There were plenty of friendly people and interesting conversations.

I gave a talk “Making 100 million requests with Python aiohttp” (slides, Blog post) explaining the basics of writing async code in Python 3 and how I used that to make a very large number of HTTP requests.

Andy giving the presentation

(Photo by CB Bailey.)

Hopefully it was helpful – there were several good questions, so I am optimistic that people were engaged with it.

After that, there was an excellent talk by Gareth Lloyd called “GeoPandas, the geospatial extension for Pandas” in which he explained how to use the very well-developed geo-spatial data tools available in the Python ecosphere to transform, combine, plot and analyse data which includes location information. I was really impressed with how easy the libraries looked to use, and also with the cool Jupyter notebook Gareth used to explain the ideas using live demos.

London Python Meetups seem like a cool place to meet Pythonistas of all levels of experience in a nice, low-pressure environment!

Meetup link: aiohttp / GeoPandas

Run bash inside any version of Linux using Docker

Docker is useful for some things, and not as useful as you think for others.

Here’s something massively useful: get a throwaway bash prompt inside any version of any Linux distribution in one command:

docker run -i -t --mount "type=bind,src=$HOME/Desktop,dst=/Desktop" ubuntu:18.10 bash

This command downloads a recent Ubuntu 18.10 image, mounts my desktop as /Desktop in the container, and gives me a bash prompt. From here I can install any packages I want and then use them.

For example, today I used it to decrypt a file that was encrypted with a cipher my main OS did not have a package for.

When I exit bash, the container stops and I can find it with docker ps -a then remove it with docker rm. To really clean up I can find the downloaded images with docker image ls and remove them with docker image rm.