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NumPy Class 11 / 12 IP | Attribute, Arithmetic Statistical Operations | Informatics Practices Python
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Topics Covered are
1. NumPy attributes
- ndim, size, shape, dtype, itemsize
2. Arithmetic operations on one dimensional and two-dimensional arrays
- Addition, Subtraction, Multiplication, Matrix Multiplication, Division, Modulo, Exponentiation
3. Statistical operations on one dimensional and two-dimensional arrays
- Calculating max, min, sum, mean, median, standard deviation, variance on NumPy arrays.
TIMESTAMPS
0:00 Intro
0:15 NumPy attributes
5:16 Arithmetic operations on one dimensional and two-dimensional arrays
13:36 Statistical operations on one dimensional and two-dimensional arrays.
1. NumPy attributes
- ndim, size, shape, dtype, itemsize
2. Arithmetic operations on one dimensional and two-dimensional arrays
- Addition, Subtraction, Multiplication, Matrix Multiplication, Division, Modulo, Exponentiation
3. Statistical operations on one dimensional and two-dimensional arrays
- Calculating max, min, sum, mean, median, standard deviation, variance on NumPy arrays.
TIMESTAMPS
0:00 Intro
0:15 NumPy attributes
5:16 Arithmetic operations on one dimensional and two-dimensional arrays
13:36 Statistical operations on one dimensional and two-dimensional arrays.
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