Data Wrangling - Python | Conjunto de Fichas

Pregunta	Respuesta
SIMD	Single 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.
Functions & Methods	Functions 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
Elipsis	... - three dots between data in Python
Special Vectorized Ops ----------------------------------- vector_a % vector_b vector_a ** vector_b vector_a // vector_b Note: Shape of arrays/lists has to be the same	vector_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
Image: Introduction To Pandas Dataquest 2 10 2019 12 17 22 Pm (binary/octet-stream)	E-Notation

Data Wrangling - Python

	Creado por Eric Pereira hace más de 5 años