Fichas
Data Wrangling - Python
Fichas del conjunto (6)
- 1SIMDSingle instruction Multiple Data - SIMD allows a processor to perform the same operation, on multiple data points, in a single processor cycle. Uses Vectorization to achieve this.
- 2Functions & MethodsFunctions act as stand alone segments of code that usually take an input, perform some processing, and return some output. Len() can be used for lists & Strings.
In contrast, methods are special functions that belong to a specific type of object. List.append() is a method but if you use it on string, you will get an error - 3Elipsis... - three dots between data in Python
- 4Special Vectorized Ops ----------------------------------- vector_a % vector_b vector_a ** vector_b vector_a // vector_b Note: Shape of arrays/lists has to be the samevector_a % vector_b - Modulus
vector_a ** vector_b - Exponent
vector_a // vector_b - Floor Division (divide vector_a by vector_b, rounding down to the nearest integer - 5—E-Notation
- 6—
Información
- Descripción
- Fichas sobre Data Wrangling - Python, creado por Eric Pereira el 10/02/2019.
- Creado por
- Eric Pereira
- Visitas
- 19
- Etiquetas
- Valoración