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np.array()
used to create an array (grid of values) from data provided as lists, tuples, etc
np.arrange()
generates an array with evenly spaced values within a given range
np.exp()
calculates the exponential of all elements in an input array, specifically it computes the base-e exponential function
np.sqrt()
returns the non negative square root of an element-wise input array; operates on each element & computes the square root
ackley function
commonly used as a benchmark problem in optimization & known for its many local minima
np.random.rand()
generates random floating point numbers from a uniform distribution between 0 and 1
np.random.standard.normal()
generates random floating point numbers from a standard normal distribution, with a mean of 0 and a standard deviation of 1
np.random.uniform()
generates random floating point numbers drawn from a uniform distribution over a specified range
np.random.randint()
used to generate random integers within a specified range
np.argsort()
returns the indices that would sort an array along a specified axis
np.argmax
returns the index of the max values in an array along a specified axis
time.time()
returns the current time in seconds since jan 1, 1970