Broadcasting describes how NumPy automatically brings two arrays with different shapes to a compatible shape during arithmetic operations. Generally, the smaller array is “repeated” multiple times until both arrays have the same shape. Broadcasting is memory-efficient as it doesn’t actually copy the smaller array multiple times.
Code:
import numpy as np
A = np.array([1, 2, 3]) res = A * 3 # scalar is broadcasted to [3 3 3] print(res)
Broadcasting describes how NumPy automatically brings two arrays with different shapes to a compatible shape during arithmetic operations. Generally, the smaller array is “repeated” multiple times until both arrays have the same shape. Broadcasting is memory-efficient as it doesn’t actually copy the smaller array multiple times.
Code:
import numpy as np
A = np.array([1, 2, 3]) res = A * 3 # scalar is broadcasted to [3 3 3] print(res)
The Singapore stock market has alternated between positive and negative finishes through the last five trading days since the end of the two-day winning streak in which it had added more than a dozen points or 0.4 percent. The Straits Times Index now sits just above the 3,060-point plateau and it's likely to see a narrow trading range on Monday.
Start with a fresh view of investing strategy. The combination of risks and fads this quarter looks to be topping. That means the future is ready to move in.Likely, there will not be a wholesale shift. Company actions will aim to benefit from economic growth, inflationary pressures and a return of market-determined interest rates. In turn, all of that should drive the stock market and investment returns higher.
