循环（Loop）3、递归（Recursion）4、遍历（Traversal）5、总结1、迭代（Iteration）迭代（Iteration）指的...
In [1]: data = pd.Series(range(1000000)) In [2]: roll = data.rolling(10) In [3]: def f(x): ...: return np.sum(x) + 5 # 第一次运行Numba时,编译时间会影响性能 In [4]: %timeit -r 1 -n 1 roll.apply(f, engine='numba', raw=True) 1.23 s ± 0 ns per loop (mean ...
236 µs ± 545 ns per loop (mean ± std. dev. of 7 runs, 1000 loops each) 注意!在这里我们使用了 % itemit 测试运行时间(原因我们留到后面说),通过对比两个时间,我们可以发现通过 numba 获得了非常明显的加速效果! 我们来具体看一下如何用 numba 加速 python 代码:在实际使用过程中,numba 其实是...
def wrapper_repeat(*args, **kwargs): for _ in range(num_times): value = func(*args, **kwargs) return value This wrapper_repeat() function takes arbitrary arguments and returns the value of the decorated function, func(). This wrapper function also contains the loop that calls the decor...
Example 1 - Using range function to loop n times The example here iterates over the range of numbers from 1 to 10 and prints its value. However, if it reaches the number divisible by 5, it will break the loop. Note that in this case, the statement inside the else block will not be...
psutil.cpu_times(percpu = False )将每个特定状态下CPU运行的时间以元组的形式返回。 CPU运行状态 解释 user 进程执行用户态代码耗费的CPU时间。 nice 在优先级高的用户级别执行时CPU占用率的百分比。 system 内核执行系统调用所使用的CPU时间。 idle CPU空闲并且系统没有未完成的磁盘I / O请求的时间百分比。 io...
下图展示了这个常见的架构,主线程使用事件循环(Event Loop)处理用户和系统输入。需要长时间处理的任务和会阻塞 GUI 的任务会被移交给后台或 worker 线程: 一个该并行架构的实际案例可以是一个图片应用。当我们将数码相机或手机连接到电脑上时,图片应用会进行一系列动作,同时它的用户界面要保持交互。例如,应用要将图片...
running=False# this causes the while loop to stop elifguess<number: print('No, it is a little higher than that') else: print('No, it is a little lower than that') else: print('The while loop is over.') # Do anything else you want to do here ...
dev. of 7 runs, 1000 loops each) >>> l = ["xyz"]*NUM_ITERS >>> %timeit -n1000 convert_list_to_string(l, NUM_ITERS) 10.1 µs± 1.06 µs per loop (mean± std. dev. of 7 runs, 1000 loops each)Let's increase the number of iterations by a factor of 10....
[241]: N = 1000000 In [242]: %timeit samples = [normalvariate(0, 1) for _ in range(N)] 1.77 s +- 126 ms per loop (mean +- std. dev. of 7 runs, 1 loop each) In [243]: %timeit np.random.normal(size=N) 61.7 ms +- 1.32 ms per loop (mean +- std. dev. of 7 runs...