PEP

Python Enhancent Proposal

PEP 8

Guía de estilo para programar en python

PEP 20

Zen python

    Beautiful is better than ugly.
    Explicit is better than implicit.
    Simple is better than complex.
    Complex is better than complicated.
    Flat is better than nested.
    Sparse is better than dense.
    Readability counts.
    Special cases aren't special enough to break the rules.
    Although practicality beats purity.
    Errors should never pass silently.
    Unless explicitly silenced.

    In the face of ambiguity, refuse the       temptation to guess.
    There should be one-- and preferably only one --obvious way to do it.
    Although that way may not be obvious at first unless you're Dutch.
    Now is better than never.
    Although never is often better than *right* now.
    If the implementation is hard to explain, it's a bad idea.
    If the implementation is easy to explain, it may be a good idea.
    Namespaces are one honking great idea -- let's do more of those!

Tipos de datos básicos

Numeros

1. Enteros
2. Coma Flotante
3. Numeros complejos

numero = 1
print(numero)
1

numero = 1.1
print(numero)
1.1

numero = 1j
print(numero)
1j

i = 1 + 1 
i = 1 * 1 
i = 1 - 1 
i = 1 / 1
i = 1 // 1
i = 1 ** 1
i = 1 % 1

Listas

• La lista es un tipo de colección ordenada
  • [22, True, “una lista”, [1, 2]]
  • [0   , 1        , 2                    ,3]
• Las listas pueden contener cualquier tipo de dato
  • [22, True, “una lista”, [1, 2]]
• Se pueden acceder a cualquier valor escribiendo el nombre de la variable y el indice
  • l = [11, False]
  • l[0] # 11
• Comienzan por 0
• Los indices pueden ser negativos

Tuplas

• Son inmutables (no pueden ser alteradas despues de creadas)
• Ademas de anterior su comportamiento es idéntico a de las listas

Diccionario

• Son colecciones que relacionan una clave y un valor
  • {“Love Actually “: “Richard Curtis”,“Kill Bill”: “Tarantino”,}
• Para acceder a sus valores se usan la clave
  • d[“Love Actually “] # devuelve “Richard Curtis”