NumPy Create, linspace, arange, zeros, Ones | Data Intelligence
In this NumPy Create, linspace, arange, zeros, Ones Tutorial, we will start with the basics of how to Create NumPy array in two different ways and we'll also look at some basic functions. After that we will look at arithimatic operations and some useful NumPy functions like linspace, arange, zeros, Ones arrays.
You can download exercise file from this link : [ Ссылка ]
Linspace : numpy.linspace, Return evenly spaced numbers over a specified interval. Returns num evenly spaced samples, calculated over the interval [start, stop].
Arange : numpy.arange, Return evenly spaced values within a given interval. Values are generated within the half-open interval [start, stop) (in other words, the interval including start but excluding stop). For integer arguments the function is equivalent to the Python built-in range function, but returns an ndarray rather than a list.
Zeros : numpy.zeros, Return a new array of given shape and type, filled with zeros.
Ones : numpy.ones, Return a new array of given shape and type, filled with ones.
