script is an open source tool that makes a typescript of everything displayed on your terminal. It is useful for students who need a hardcopy record of an interactive session as proof of an assignment, as the typescript file can be printed out later with lpr.

Everything between the script and the exit command is logged to the file. This includes the confirmation messages from script itself (unless the -q flag is used). Everything between the script and the exit command is logged to the file. This includes the confirmation messages from script itself.

Recorded shell sessions can be shared using online services. The advantage of sessions recorded in this format from the usual screencasts is that shell instructions can be easily copy/pasted from the player screen.

Useful command:

script --timing=time.txt script.log

and to replay

scriptreplay --timing=time.txt script.log

See also the nice -d (divisor, speeds up playback) and -m (max delay in playback) options for replay.

Summary

1. ttystudio - Excellent terminal-to-gif recorder
2. asciinema - Record and share terminal sessions
3. Shelr - Broadcast plain text screencasts
4. Showterm - Terminal record and upload utility
5. TermRecord - Terminal session recorder with easy-to-share self-contained HTML output
6. ttyrec - Terminal recorder, incudes a playback tool
7. IPBT - High-tec terminal player
8. tty2gif - Record scripts into both binary and gif formats
9. termrec - Set of tools for recording and replaying tty sessions
10. script - The granddaddy of terminal recorders

Looking for some thrillers that take place entirely in a single enclosed space? Agent Orange from Quiet Earth has counted down 13 of the most nail-biting flicks confined to four walls.

The trend towards well scripted, high concept thrillers that take place in just one location is truly peaking, and in anticipation of the claustrophobic thrills of both Devil and Buried on DVD and Blu-ray right away we thought we would countdown our favourite thrillers that take place in just one room. Grab a pen folks, 'cause you're gonna want to catch up with these claustrophobic thrill rides!

Joy as mathematicians discover a new type of pentagon that can cover the plane leaving no gaps and with no overlaps. It becomes only the 15th type of pentagon known that can do this, and the first discovered in 30 years.

In this guide, we will discuss how to use the netcat utility. Often referred to as a Swiss army knife of networking tools, this versatile command can assist you in monitoring, testing, and sending data across network connections.

“Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.” – Brian W. Kernighan.

Everyone tests their software to some extent, if only by running it and trying it out (technically known as “smoke testing”). Most programmers do a certain amount of exploratory testing, which involves running through various functional paths in your code and seeing if they work.

Systematic testing, however, is a different matter. Systematic testing simply cannot be done properly without a certain (large!) amount of automation, because every change to the software means that the software needs to be tested all over again.

This is an introduction to some lower level automated testing concepts, and how to use built-in Python constructs to start writing tests.

A British company thought to be working closely with Apple has created a hydrogen fuel cell for an iPhone 6 that allows the device to go a week without recharging.

One of the git tips that I find myself frequently passing on to people is:

Don’t use git pull, use git fetch and then git merge.

The problem with git pull is that it has all kinds of helpful magic that means you don’t really have to learn about the different types of branch in git. Mostly things Just Work, but when they don’t it’s often difficult to work out why. What seem like obvious bits of syntax for git pull may have rather surprising results, as even a cursory look through the manual page should convince you.

Deep Learning has had a huge impact on computer science, making it possible to explore new frontiers of research and to develop amazingly useful products that millions of people use every day. Our internal deep learning infrastructure DistBelief, developed in 2011, has allowed Googlers to build ever larger neural networks and scale training to thousands of cores in our datacenters. We’ve used it to demonstrate that concepts like “cat” can be learned from unlabeled YouTube images, to improve speech recognition in the Google app by 25%, and to build image search in Google Photos. DistBelief also trained the Inception model that won Imagenet’s Large Scale Visual Recognition Challenge in 2014, and drove our experiments in automated image captioning as well as DeepDream.

Box Plus/Minus (BPM) is a box score-based metric for evaluating basketball players' quality and contribution to the team. It is the latest version of a stat previously called Advanced Statistical Plus/Minus; it is NOT a version of Adjusted Plus/Minus, which is a play-by-play regression metric.