Toolleeo's links
I am a bit dissatisfied with the use of the Tragedy of the commons to represent issues with free and open source software development. It is not an abstract resource that can be depleted when overused. It is not magically maintained if left alone.
It is based on the work of people, and we should not erase those people.
Unfortunately (and it is by design), most of the licences and the vocabulary around it are focused on the software’s user. After all, they work by reducing the creator’s right to empower the user.
As examples of this vocabulary, we have the distinction between “free as in beer” and “free as in speech” to show that the “free” word in “free software” has more to do with freedom and people’s rights to use, study, modify and share a program, than its actual price. Although, in practice, the overwhelming majority of FOSS will not cost you anything.
Error handling is an integral part of programming, but in many popular languages, it comes as an afterthought.
The godfather of numerous programming dialects, C, never had a dedicated error or exception mechanism in the first place. It is up to the programmer to accurately report whether the function did what it was intended to do, or threw a tantrum—usually by relying on integers. In case of a segmentation fault—well, all bets are off.
This post goes through the experience of the author in the adaptation to the Golang error management workflow.
When I think about who I would like to work with as a programmer, I think so much more about non-technical skills than technical skills that make somebody a good co-worker. In fact, all of the skills that are in this post contribute to writing good code that improves technical projects. Most of them are really helpful for careers outside of programming too, but I'm going to focus on why they're useful for programmers specifically.
From Josh Mcguigan.
This is a tutorial on building your own shell using Rust, in the spirit of the build-your-own-x list. Creating a shell is a great way to understand how the shell, terminal emulator, and OS work together.
You will learn in this post how to:
- decompose double-seasonal time series
- detrend time series
- model and forecast double-seasonal time series with trend
- use two types of simple regression trees
- set important hyperparameters related to regression tree
For the longest time I did not know what everything meant in htop.
I thought that load average 1.0 on my two core machine means that the CPU usage is at 50%. That's not quite right. And also, why does it say 1.0?
I decided to look everything up and document it here.
They also say that the best way to learn something is to try to teach it.
A nice blog post about Delaunay triangulation and Voronoi tessellation of a sphere.
Very nice interactive JavaScript animation that shows the triangulation and the tessellation as a function of some paramenters.
The Fibonacci numbers are the sequence 1, 1, 2, 3, 5, 8, ..., and satisfy the recurrence F(n) = F(n – 1) + F(n – 2).
They also have a beautiful formula.
My favorite derivation of this formula entirely avoids algebraic manipulation.
Roughly speaking, Gödel’s Incompleteness Theorem states that there are true mathematical statements that cannot be proven. When I was in 11-th grade, my geometry teacher Mr. Olsen, my friend Uma Roy, and I spent five weeks reading through Gödel’s original proof of the theorem. Why did it take so long? Partly because Uma and I were high-school students. Partly because Gödel was a less-than-talented writer. But mostly because the proof is actually pretty hard.
Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements.
It is a challenging problem given the large number of observations produced each second, the temporal nature of the observations, and the lack of a clear way to relate accelerometer data to known movements.
Classical approaches to the problem involve hand crafting features from the time series data based on fixed-sized windows and training machine learning models, such as ensembles of decision trees. The difficulty is that this feature engineering requires deep expertise in the field.
Recently, deep learning methods such as recurrent neural networks and one-dimensional convolutional neural networks, or CNNs, have been shown to provide state-of-the-art results on challenging activity recognition tasks with little or no data feature engineering.
In this tutorial, you will discover the ‘Activity Recognition Using Smartphones‘ dataset for time series classification and how to load and explore the dataset in order to make it ready for predictive modeling.
It’s hard for me to teach an in-depth Python class without discussing lambda expressions. I almost always get questions about them. My students tend to see them in code on StackOverflow or they see them in a coworker’s code (which, realistically, may have also come from StackOverflow).
I get a lot of questions about lambda, I’m hesitant to recommend my students embrace Python’s lambda expressions. I have had an aversion to lambda expressions for many years, and since I started teaching Python more regularly a few years ago, my aversion to lambda expressions has only grown stronger.
I’m going to explain how I see lambda expressions and why I tend to recommend my students avoid using them.
I had an email problem. My inbox was always full of emails. I was very slow in responding to personal emails. How slow? Ask my friends. It wasn't unusual for them to receive an email response from me over a year after they sent the email as I played catchup.
I get too much email. Most of us do. The situation was out of control, and had been that way for years. I remember the good old days in the 90's when, for the first few years of my email experience, almost all emails were personal, and a joy to engage in. I wanted that experience back. I wanted receiving someone's email to lighten up my day. I didn't want it to be surrounded by non-personal junk email.
This is version 1 of a cookbook that will help you check whether a data table (defined on the data tables page) is properly structured and free from formatting errors, inconsistencies, duplicates and other data headaches.
Good news for penguin users, TrackMania Nations Forever has been released on edge channel as a snap package this information came first on snapcraft.io forum site. Most of Linux users never heard about Track Mania, because it is only available for Windows, Nintendo DS, Wii, PlayStation 4 e Xbox One users.
Howdy Vim users! Today, I have come up with a good news to all of you.
Say hello to Vim-anywhere, a simple script that allows you to use the Vim editor to input text anywhere in your Linux box. That means you can simply invoke your favorite Vim editor, type whatever you want and paste the text on any application or on a website. The text will be available in your clipboard until you restart your system. This utility is absolutely useful for those who love to use the Vim keybindings often in non-vim environment.
Every now and then, the “why hasn’t decentralized social networking succeeded” discussion pops back up. And inevitably, that motivates somebody who thinks they can do better. They proceed to design a new set of decentralized networking protocols, write lots of code, and get early adopters to enthusiastically adopt the New Thing. Which then, inevitably, never grows beyond a certain size.
Rinse and repeat.
How many times has that now happened? And keeps happening?
Has anybody considered that perhaps the protocols weren’t the problem? Or whether the code was written in one language or another, or did or didn’t use HTML5 or other cool new tech?
Get started with the keystroke-driven i3 tiling window manager for the Linux desktop.
In this post you'll learn how to send emails from the Linux command line. I'll show the most often used commands, SMTP configuration and terminal options.