If you write Python code, switching to IPython is the number one thing you can do to immediately improve your productivity. Bold words, I know. Let’s look at how IPython can make you a more productive programmer. If you are mostly a web developer or are new to Python, the IPython homepage does not make it obvious how awesome IPython is (even if you don’t do any scientific computing!). If you have
Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other Python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in
Currently, we have visualizations for the following data structures and algorithms: Basics Stack: Array Implementation Stack: Linked List Implementation Queues: Array Implementation Queues: Linked List Implementation Lists: Array Implementation (available in java version) Lists: Linked List Implementation (available in java version) Recursion Factorial Reversing a String N-Queens Problem Indexing
Ever wonder how Google Chrome knows the language of a web page and offers to translate it when the page is written in a foreign language? Or how Facebook offers to translate your friends’ posts in a foreign language? Detecting languages is surprisingly easy, and it can be used to improve user interfaces without having the user do any work. I stumbled across this ActiveState recipe for a language d
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