点击上方“Deephub Imba”,关注公众号,好文章不错过 !写Python数据处理代码时反复用for循环？这其实是在给程序性能交"税"。NumPy的广播(broadcasting)机制能让你摆脱这种困境——代码量更少，执行更快，关键是思维方式从"逐个迭代"转向"整体形状操作"。掌握这些模式后，你的CPU负载会明显下降。1) ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

We can cast an ordinary python list as a NumPy one-dimensional array. We can also cast a python list of lists to a NumPy two-dimensional array. Usually we will build arrays by using NumPy's ...

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...