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Data Wrangling - Python

Eric Pereira English 6 cards

Data Wrangling - Python

Cards in this deck (6)

  1. 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.
  2. 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
  3. 3Elipsis... - three dots between data in Python
  4. 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. 5—E-NotationE-Notation
  6. 6—

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Flashcards on Data Wrangling - Python, created by Eric Pereira on 10/02/2019.
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Eric Pereira
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