Language Selection

English French German Italian Portuguese Spanish

Introduction To Linux Commands

Filed under
Linux
HowTos

At the heart of every modern Mac and Linux computer is the “terminal.” Mac, Linux and Windows computers today are mainly controlled through user-friendly feature-rich GUI. So, why would anyone want to bother with these text commands when you can use the mouse instead?

The main reason is that they are very useful for controlling remote computers on which a GUI is not available, particularly Web servers, and especially Linux Web servers that have been stripped of all unnecessary graphical software.

Sometimes these lean Linux servers are managed through a Web browser interface, such as cPanel or Plesk, letting you create databases, email addresses and websites; but sometimes that is not enough. This article provides a broad introduction to text commands and the situations in which they are useful.

We’ll cover the following:




More in Tux Machines

France: ‘tax source code will be made public’

France’s tax department is willing to make the source code available for its income tax software system, says Axelle Lemaire, minister responsible for Digital Affairs. However, preparation takes time, she told April, France’s free software advocacy group, last month. Read more

Simplicity Linux 15.7 Comes at the End of July with Linux Kernel 4.0

David Purse from the development team of Simplicity Linux, a distribution derived from LXPup and built around the LXDE desktop environment, has announced the release of the first Beta build towards the final version of Simplicity Linux 15.7. Read more

Linux Kernel 3.14.46 LTS Has ARM and ARM64 Improvements, Updated Drivers

After announcing the release of the Linux kernel 4.1.1, Linux kernel 4.0.7, and Linux kernel 3.10.82 LTS, Greg Kroah-Hartman also published details about a new maintenance release of the Linux 3.14 kernel branch. Read more

Google open-sources its software for making trippy images with deep learning

The deepdream project is now available on GitHub. The project relies on the open-source Caffe deep learning framework. Deep learning involves training artificial neural networks on a large pile of data — for example, pictures of geese — and then throwing them a new piece of data, like a picture of an ostrich, to receive an educated guess about it. Read more