Toolleeo's links
Learn about 5 interesting Linux tools that will help break your dependence on the GUI and keep you productive on the command line.
The type of organizing tools you use to plan your projects can make your work routine more efficient and improve your productivity. A project management application is an essential tool in some business environments. This week's Linux Picks and Pans takes a deep dive into some of the best project management software solutions available for the Linux desktop.
Firefox Send, send.firefox.com, is a free encrypted file transfer service that allows users to safely and simply share files from any browser.
Welcome This site is a blog dedicated to reviewing and cataloging useful command-line tools. There have been an amazing amount of useful utilities produced in the last few years, so many that it’s difficult to keep abreast of new applications that could potentially improve your workflow. I spend a silly amount of my free time trawling the internet for interesting tools, so I’d like to present the results with you!
Have you ever been in a situation where you are presenting to your manager or your manager's manager and you completely flub the opportunity by saying all the wrong things? Me too. It is from such encounters that I started to put together design patterns for handling these difficult situations. I like to think in systems and patterns, so applying this way of thinking to communication just makes sense. I have also found that these rules of thumb are useful to others, so I would like to share them here.
When you can spot the patterns, you can use some of the ideas presented here as guidelines to navigate these tricky, high-stress scenarios. This way you can feel confident and capable as a leader because you will know what to do: how to solve the problem and what steps to follow next.
Here are some of the most common challenging situations you may run into at work and how you can handle them.
- Someone asks you something you don't know
- There is a problem that is your fault or responsibility
- There is a decision that you don't agree with
- Your manager gives you negative feedback
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.