Features:

• Cross-platform support for Linux and Mac
• Automation (so there's no need to remember to click "backup")
• Point-in-time recovery (or something close) so if you accidentally delete a file but don't notice until later, it's still recoverable
• Low cost
• Replicated data store for backup sets, so data exists in more than one place (i.e., not just backing up to a local USB drive)
• Encryption in case the backup files fall into the wrong hands

L1 Terminal Fault/Foreshadow explained in ~three minutes For a more detailed technical view of L1 Terminal Fault, please see this deeper dive with Jon Masters.

I used to fork projects from github when I thought they are useful: even not currently but maybe I need it in the future, so I did a backup of it. However, I didn’t always give the project a star. Gradually, I found this is not a good habit.

Currently, when I fork a project, I acknowledge it gives me valuable information, I always give this project a star.

Studying time “is like holding a snowflake in your hands: gradually, as you study it, it melts between your fingers and vanishes.”Image…

This post will probably only make sense to those deeply involved in Mastodon and the fediverse.

License plate detection is a common use case which has been solved (somewhat) several times, but felt that we could provide something better than the current options.

How long until a license plate reader data blackmail-style website appears?

Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.

Flameshot is an easy to use, open source, Qt-based screenshot utility which is adept at capturing custom areas of a desktop.

At the North America edition of the 2018
Linux Security Summit (LSS NA), which was held in late August in Vancouver,
Canada, Kees Cook gave a presentation on some of the dangers that come with
programs written in C. In particular, of course, the Linux kernel is
mostly written in C, which means that the security of our systems rests on
a somewhat dangerous foundation. But there are things that can be done to
help firm things up by "Making C Less Dangerous" as the title
of his talk suggested.

CLI: improved

The developers behind World of Warcraft tell the story of its history, from the original beta to today.

You are handed data and told to develop a forecast model. What do you do? This is a common situation; far more common than most people think. Perhaps you are sent a CSV file. Perhaps you are given access to a database. Perhaps you are starting a competition. The problem can be reasonably well defined: …

This is not a new sorting algorithm, but an idea when we need to avoid swapping of large objects or need to access elements of a large array in both original and sorted orders.

A common sorting task is to sort elements of an array using a sorting algorithm like Quick Sort, Bubble Sort.. etc, but there may be times when we need to keep the actual array in tact and use a “tagged” array to store the correct positioning of the array when it is sorted. When we want to access elements in sorted way, we can use this “tagged” array.

When you are presented with a new time series forecasting problem, there are many things to consider.

The choice that you make directly impacts each step of the project from the design of a test harness to evaluate forecast models to the fundamental difficulty of the forecast problem that you are working on.

It is possible to very quickly narrow down the options by working through a series of questions about your time series forecasting problem. By considering a few themes and questions within each theme, you narrow down the type of problem, test harness, and even choice of algorithms for your project.

In this post, you will discover a framework that you can use to quickly understand and frame your time series forecasting problem.