How can some really large services (like Dropbox) afford to use Python as a primary language, if it’s one to two orders of magnitude slower than other, compiled languages?
9th December 2012
Because raw language speed often doesn’t matter that much. In the case if Dropbox the client software spends most of its time waiting for bits to load from the network or from disk. Most large websites spend their time waiting for the database. You can’t speed up network or disk performance by using a faster language.
More recent articles
- Weeknotes: the Datasette Cloud API, a podcast appearance and more - 1st October 2023
- Things I've learned about building CLI tools in Python - 30th September 2023
- Talking Large Language Models with Rooftop Ruby - 29th September 2023
- Weeknotes: Embeddings, more embeddings and Datasette Cloud - 17th September 2023
- Build an image search engine with llm-clip, chat with models with llm chat - 12th September 2023
- LLM now provides tools for working with embeddings - 4th September 2023
- Datasette 1.0a4 and 1.0a5, plus weeknotes - 30th August 2023
- Making Large Language Models work for you - 27th August 2023
- Datasette Cloud, Datasette 1.0a3, llm-mlc and more - 16th August 2023
- How I make annotated presentations - 6th August 2023