_sebkom

The visualization is nice but it fails to explain the ideas of each algorithm.

And it's interesting that the best visualizations for this are java applets.

I am a humble cs undergraduate student too but I can already tell that PhD != Bright.

Isn't this very different to the way twitter works?

I follow this account and get links that I have to click on and then click on the "play" button again in order to listen to some(or any)one's broken english?

Isn't anyone else curious about their figures before the Mac App Store?

A couple of months ago I decided to use Python for my (undergraduate) dissertation project. I assumed that the newest version of the language is the one to go with. And everything was fine until a few days ago when I discovered finding a library to draw simple graphs that is compatible with Python 3 requires quite an effort.

Now I have to either take everything back to 2.7 or keep believing that I will finally manage to work it out with 3.

How is that going to kill the "momentum" I received and change my feelings about Python? It's not going to change them. I enjoyed every single moment of coding so far, even those very first ones where I kept inserting curly brackets everywhere. So, if it fits my needs, I am going to use it in future projects as well.

How is that going to change the industry's feelings about Python? Who knows? But I doubt the industry worries about "momentum". If you are using 2.7, keep using it until Python 3 is usable for your. If you are not using Python yet but you want to, do your research beforehand (something I falsely didn't do) and decide what's best.

Now, how long is it going to take for the major libraries/frameworks to be Python 3 compatible, nobody can tell. And it's funny as we are approaching the "3.2" version already.

But, honestly, who cares? Is a number more important than the language itself?