Algos

On parle un peu partout de programmation non bloquante ces temps-ci. NoSQL a remis le map/reduce au goût du jour, et PAF, on vous sort le mot clé parallélisation pour vous en vendre une tetrachiée.

Back when I first started to use Git for version control, I wasn’t sure if all the learning I invested into it would pay off. Branching, staging, stashing — these Git terms were all foreign to me.
Today, I can’t imagine life without Git.

In Facts and myths about Python names and values, I described how Python's names and values
work. There I posed some other questions, one of which was:Why do beginners find it hard to make a tic-tac-toe board in Python?

UPDATE: The original motivation of this post was that Github didn’t offer free private repositories (only public repositories are free).

The default timer resolution on Windows is 15.6 ms – a timer interrupt 64 times a second. When programs increase the timer frequency they increase power consumption and harm battery life.

I’ve been studying a lot of languages lately, looking for a modern, parallel language which is a deserving successor to C/C++/Python as my main, go-to language for Getting Things Done.  Someone on Reddit was specifically asking why C++ isn’t ideal...

Masters of Doom is the story of John Carmack and John Romero creating the seminal games Wolfenstein 3D, Doom, and Quake.

Voici les meilleures réponses à une question posée sur StackOverflow.com par  John K :

Quelles sont les expressions de jargon de programmation que vous avez notées dans vos équipes ou remarquées sur Internet ?

Algorithms are increasingly often cited as one of the fundamental shaping devices of our daily, immersed-in-information existence. Their importance is acknowledged, their performance scrutinised in numerous contexts. Yet, a lot of what constitutes “algorithms” beyond their broad definition as “encoded procedures for transforming input data into a desired output, based on specified calculations”[2] is often taken for granted. At the same time, they are “invoked as powerful entities that control, govern, sort, regulate, and shape everything from financial trades to news media”[3]. Recently (May 16-17, 2013), an interdisciplinary event organised at New York University has addressed this issue through an interesting lens: that of governance – governance by algorithms in addition to governance of algorithms.

Why use Python for scientific computing? This is a legitimate question. For us, regular Python users, using Python is so natural that we sometimes forget that this choice is not obvious for everyone.

As someone who creates web apps (both for myself and for clients), I’ve learned a few things throughout my journey that have helped me get the best results for the time and resources I have.