Python for data analysis
I recommend using Python for data analysis, and I recommend Wes McKinney’s book Python for Data Analysis. I prefer Python to R for mathematical computing because mathematical computing doesn’t exist in a vacuum; there’s always other stuff to do. I find doing mathematical programming in a general-purpose language is easier than doing general-purpose programming in a mathematical language. Also, gen
Bicycle skills
A while back I wrote about learning things just-in-case or just-in-time. Some things you learn in case you need them in the future, and some things you learn as needed. How do you decide whether something is worth learning ahead of time, or whether it is best to learn if and when you need it? This is a common dilemma, especially in technology. There’s no easy answer. You have to decide what is bes
Unix doesn’t follow the Unix philosophy
The Unix philosophy is a noble idea, but even Unix doesn’t follow it too closely. The Unix philosophy, as summarized by Doug McIlroy, says Write programs that do one thing and do it well. Write programs to work together. Write programs to handle text streams, because that is a universal interface. Here is an example from James Hague where the first point has been strained. The UNIX ls utility seem
Python is a voluntary language
People who write Python choose to write Python. I don’t hear people say “I use Python at work because I have to, but I’d rather be writing Java.” But often I do hear people say they’d like to use Python if their job would allow it. There must be someone out there writing Python who would rather not, but I think that’s more common with other languages. My point isn’t that everyone loves Python, but
100x better approach to software?
Alan Kay speculates in this talk that 99% or even 99.9% of the effort that goes into creating a large software system is not productive. Even if the ratio of overhead and redundancy to productive code is not as high as 99 to 1, it must be pretty high. Note that we’re not talking here about individual programmer productivity. Discussions of 10x or 100x programmers usually assume that these are folk
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Teaching an imbecile to play bridge
Uninteresting numbers and fuzzy logic
Is helpful software really helpful?
Third normal form
The most interesting logarithms in the world
Monkeying with Bayes’ theorem
Nobody will steal your idea
An elegant proof from Erdős
How long will there be computer science departments?
Keeping multiple programming languages straight
80-20 software
Keyboard hack
Writing software for someone else
Calculating pi with AGM and mpmath
Why read and write tech books?