A tactile guide to Python Collections

namedtuple.ipynb

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    "The Collections module is a built-in module and comes with a base installation of Python 3, and therefore doesn't need to be installed (and will not be found on PyPI)."
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   "source": [
    "#### 1. **namedtuple**"
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   "source": [
    "from collections import namedtuple\n",
    "# The first argument of namedtuple constructor, is the typename: the name of the named tuple, not the arguments."
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    "# Let's prepare a namedtuple for individuals and main of the building they reside\n",
    "buildings = namedtuple('buildings','Lulu,Tanzanite, Masetha,Dhahabu')\n",
    "# building is an object of the namedtuple class, which has been  initialized here\n",
    "names = buildings(('Leki', 'Abel', 'Wuraola'), 'Patrick', 'Yemi', 'Brain')\n",
    "# here, we are defining the field name with the instance of the building class "
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     "text": [
      "('Leki', 'Abel', 'Wuraola')\n"
     ]
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   "source": [
    "print(names.Lulu)"
   ]
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      "Patrick\n"
     ]
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   "source": [
    "print(names.Tanzanite)"
   ]
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   "source": [
    "We can create a namedtuple from a list, it can be carried out as follows:"
   ]
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      "buildings(Lulu='Sandra', Tanzanite='Rita', Masetha='Remi', Dhahabu='Peter')\n"
     ]
    }
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   "source": [
    "names2 = buildings._make(['Sandra', 'Rita', 'Remi', 'Peter'])\n",
    "print(names2)"
   ]
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   "cell_type": "code",
   "execution_count": 6,
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     "text": [
      "Sandra\n"
     ]
    }
   ],
   "source": [
    "print(names2.Lulu)"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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