In the early afternoon I rehoused the Ephebopus cyanognathus sling
that arrived two days
ago. Yesterday evening I
noticed that it had constructed a hiding spot with some leaf litter
and webbing that reached the lid of the small container that I had
prepared for it last Friday.
As I was afraid that it would make this hiding spot taller, and hence
I would break it each time I removed the lid, I decided to move the
tarantula to a larger and much higher enclosure.
I used two cork tubes, a fake plant, and plenty of leaf litter. For
substrate I used slightly moist coco peat, about 2 inch
(5cm). Transferring the spider went very easy, I was able to move it
with some webbed substrate and leaf litter. In my (short) experience
this species can move very fast in short bursts.
The terrarium is quite large for such a small spider, but I am sure I
will find where it is going to set up its hiding spot, most likely
constructed from leaf litter.
In the above photo you can see the metallic blue chelicerae it is
At WWDC 2015, in a very influential session titled
Protocol-Oriented Programming in
Abrahams explained how Swift’s protocols can be used to overcome
some shortcomings of classes. He suggested this rule: “Don’t start
with a class. Start with a protocol”.
Like everyone else, I got excited about the latest Ubuntu LTS
release and installed it on day one. A week in, I’m sorry to say
that I leave disappointed. The amount of unready snap features being
effectively forced onto users is affecting Ubuntu’s usability and
Awk is a tiny programming language and a command line tool. It's
particularly appropriate for log parsing on servers, mostly because
Awk will operate on files, usually structured in lines of
On Monday I ordered the following three tarantula slings with
0.0.1 Caribena versicolor (2cm) €10.00
0.0.1 Ephebopus cyanognathus (3cm) €20.00
0.0.1 Psalmopoeus cambridgei (2cm) €5.00
They were shipped the next day but due to delays arrived only
today. Luckily everything arrived in good health.
The first two on the above list were on the
I made back in March. I added an Psalmopoeus cambridgei because I am
very happy with the Psalmopoeus irminia I got the 7th of
First, I rehoused the Caribena versicolor sling to a small terrarium
that I just had prepared. As this is an arboreal species I used a
small cork tube filled with some moss and added some small fake plants
so it can climb away from the substrate, for which I used slightly
moist coco peat, about an inch (2.5cm). I also drilled three rows of
small holes in both sides of the terrarium as well as several holes in
the lid to provide ventilation.
Next, I rehoused the Ephebopus cyanognathus sling to a small
terrarium. I used a lot of substrate, slightly moist coco peat, about
2 inches (5cm). In the middle I made a small starter burrow and on the
top of the substrate I put some leafs, small leaf cuttings, and two
twigs. For inspiration I used the YouTube video Ephebopus
which shows this species being teased out of its natural burrow.
After I had put the spider in its terrarium and after I had taken some
photos I pushed it carefully with a brush in the direction of the
burrow I had made and it entered it.
Finally, I rehoused the Psalmopoeus cambridgei sling to a small
terrarium. I used pieces of cork bark and a small fake plastic plant
to provide hiding and climbing spots as this species is
arboreal. Again I used coco peat for substrate, about one inch
In the above photo you can see all three terrariums in the
foreground. In the back ground is the rest of my arachnid collection:
seven more tarantulas and a small scorpion. I now own the following
Haskell is a blend of cutting edge research and well-tested,
time-proven technology. It occupies a unique position between
academia and industry. Some of its features, such as garbage
collection and native code generation, can be found in mainstream
languages. Other features, such as purity and lazy evaluation, are
shared only by less popular, niche languages.
What do we mean when we say “Bayesian inference”? More specifically,
what does Bayesian inference mean for my machine learning or data
modelling problem? In this blogpost I will introduce Bayesian
inference and explain how it is a machine learning paradigm. More
importantly I will attempt to intuitively bridge the gap between
Bayesian inference as a theoretical framework and Bayesian inference
as a machine learning approach.
Tmux has liberated me from tiling window mangers. Not that I didn’t
like those, but I occasionally have to work with macOS or default
GNOME setups. And over the years I realised that I only need a
terminal multiplexor to do terminal tiling for me, the rest of the
windows are just fine to be full-screen in separate workspaces.
Deploying a simple web application can be a daunting task if you
have never painstakingly done it by hand. There are numerous
configuration files, package installations, and concepts involved in
getting your brand new app up and running. Deploying your
application traverses many different layers of the stack and
requires at least basic knowledge of each to successfully deploy to
the public internet. Over the last 4 years I have found many
tutorials and copy-paste guides which do a great job at getting your
app running on a publicly accessible server, but fail at teaching
you how each of the technologies relate with one another along the
way. This article is the first of many I will be writing as an
attempt to organize my own notes as well as set groundwork for a
technology presentation I am planning for a local technology
This post discusses the else clause in Python’s try
this particular use of else may not be as forgotten and
controversial as its use in Python
a gentle reminder of how it works and when it’s useful may still be
beneficial. Please note that this post only focuses on the else
clause of the try statement and does not intend to cover the
entire try statement. For a pretty good initial explanation of how
the entire try statement works, refer to the official Python
documentation on this
In this blog post, I would like to present a simple implementation
of PyTorch distributed training on CIFAR-10 classification using
DistributedDataParallel wrapped ResNet models. The usage of Docker
container for distributed training and how to start distributed
training using torch.distributed.launch would also be covered.
Using the Docker cache efficiently can result in significantly
faster build times. In some environments though, like CI/CD systems,
individual builds happen independent of each other and the build
cache is never preserved. Every build starts from zero which can be
slow and wasteful. This article will try to provide some solutions
for these cases.
In the evening, while checking on the tarantulas I keep, I noticed
that the Chromatopelma cyaneopubescens had molted! Since it had been
refusing food for several weeks and been lethargic I already suspected
that it was in pre-molt.
In the above photo you can see a part of the cast off exoskeleton in
the top centre.
I will try to feed this little one after 7-10 days, so it can properly
recover from the molting process.