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There are two ways to make a Python program faster: make the Python program faster, or implement computationally intensive parts in another language (including using a library written in another language).

Sure but why not do both??

Take the most computationally intensive parts, use a different language and use an efficient data structure in that other language. That might seem like a lot of work but fortunately there are handy-dandy libraries easily available to let you do this with even less effort than a simple language extension; just toss your data into SQLite or Kyoto Cabinet and let them deal with it. As is standard practice in, uh, many, many applications?

Your point about speeding up the program by improving the algorithm is valid - but it's only valid when the initial algorithm is doing something more or less unique. If the program is doing which a data base does, you should use a database like SQLite or a data store like Redis, Kyoto Cabinet, etc.




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