The Levenshtein distance is a text similarity measure that compares
two words and returns a numeric value representing the distance
between them. The distance reflects the total number of
single-character edits required to transform one word into
another. The more similar the two words are the less distance
between them, and vice versa. One common use for this distance is in
the autocompletion or autocorrection features of text processors or
Dark mode has gone from an oddity to being fully supported on
Safari, Firefox and Chrome. While this is great news (especially if
you also get migraines), it also means that my hacked together dark
mode post from less than
a year ago is outdated. Time for round two.
Recently, I noticed logs for one of my web services had strange
entries that looked like a bot trying to perform scripted attacks on
an application endpoint. I was surprised, because all the endpoints
that were exposed over the public Internet were protected by some
form of authentication, or were locked down to specific IP
addresses—or so I thought.
In the afternoon we went to garden centre "De Carlton" by bike. I took
several photos with my iPhone 5. Esme bought 3 mini plants for in the
kitchen and Adam bought a "lucky clover" starter set. We also bought
plant food, and some candy to share on the ride back.
After installing a guest operating system (OS) on VirtualBox, the
interface of the guest OS is displayed in a windowed mode by
default. Moreover, the size of that window is usually not big, and
if you maximize the window’s size, the resolution of the guest OS
user interface is left the same. In the majority of cases, working
in a guest OS with low resolution is not comfortable. Don’t worry,
however, as it is possible for you to increase the screen resolution
of the guest OS user interface as well as run a guest OS in the full
I also should note that I don’t actively avoid writing classes. I
just lean toward other solutions, typically functional solutions
over object-orientated solutions. Since I spend the majority of my
time in the Typescript ecosystem, I have the luxury of choosing
either paradigm to solve the current problem at hand.
The terms unit test and integration test are typically used as
something different, or even opposite. In this blog post I explain
why this is misleading and how I prefer to talk about isolation
vs. integration instead.
In this article, I will cover a new Neural Network approach to
solving 1st and 2nd order Ordinary Differential Equations,
introduced in Guillaume Lample and François Charton (Facebook AI
Research)’s ICLR 2020 spotlight paper, “Deep Learning for Symbolic
Mathematics”. This paper tackles symbolic computation tasks of
integration and solving 1st & 2nd order ODEs with a seq2seq
Transformer, we will focus on the latter today.
Almost every week I accidentally get into this logging
argument. Here’s the problem: people tend to log different things
and call it a best-practice. And I am not sure why. When I start
discussing this with other people I always end up repeating the
exact same ideas over and over again.
So. Today I want to criticize the whole logging culture and provide
a bunch of alternatives.
Learning Emacs is easy. It's loving Emacs that's hard. To love
Emacs, you have to discover the features it has that you've been
looking for, sometimes without knowing you've been missing them. And
that takes experience.
The only way to get that experience is to start at the beginning—by
actively using Emacs. Here are ten tips to help you figure out what
works best for you.
It all started out innocently enough. You experimented with it once
or twice in your first year of college, but Nano and Pico were
easier—closer to what you had already been using during high school
on the Windows machines and Macs. But as time went on and you got
more experience under your belt in the college-level computer
science courses, you started to notice something: All of the really
great programmers—the kind who churned out 4 line solutions for an
assignment that took you 10 pages of code to complete; the kind who
produced ridiculously over-featured class projects in a day while
you struggled with just the basics for weeks—none of them used Nano
a nice, quick, convenient way to view the value of a variable or to
see what’s going on at a given time in the application. But there
help while working on your project. We’ll go over some of my
favorites in this article, and hopefully you’ll remember to use them
The main difference between CNN and RNN is the ability to process
temporal information or data that comes in sequences, such as a
sentence for example. Moreover, convolutional neural networks and
recurrent neural networks are used for completely different
purposes, and there are differences in the structures of the neural
networks themselves to fit those different use cases.