mocquin

# Please note the results for larger list can be different
import numpy as np

# making a list, a dict, and an array
list_a = list(np.asarray(np.linspace(0,9,10)).astype(int)) # working with int
array_a = np.array(list_a) 
dict_a = {x: x for x in list_a}
 
from operator import add as opadd
%timeit -r5 list_c = list(map(opadd, list_a, list_a))

mocquin

"""See https://stackoverflow.com/questions/3278077/difference-between-getattr-v
s-getattribute :
    __getattr__ is only invoked if the attribute wasn't found the usual ways. 
    It's good for implementing a fallback for missing attributes, and is probab
    ly the one of two you want.
"""

import numpy as np
        
class foo():

mocquin

Title: Pelican setup gist  
Description: What are the steps to get blog like this one up and running?

You can find this as a gist [here](https://gist.github.com/mocquin/6b79794f2edb87fc671f28f0d2aeb6c1)

For this, you'll need basic knowledge of pip, terminal, virtualenv, python, git, and github. 

Disclaimer : this is not a tutorial, this a quick recipe that worked for me. I voluntarly skip most of the explication part.

```

mocquin

>>> import seaborn as sns
>>> sns.get_datasets_names()
['anagrams',
 'anscombe',
 'attention',
 'brain_networks',
 'car_crashes',
 'diamonds',
 'dots',

mocquin

>>> iris_df = sns.load_dataset("iris")
>>> iris_df.head()
 sepal_length 	sepal_width 	petal_length 	petal_width 	species
0 	5.1 	3.5 	1.4 	0.2 	setosa
1 	4.9 	3.0 	1.4 	0.2 	setosa
2 	4.7 	3.2 	1.3 	0.2 	setosa
3 	4.6 	3.1 	1.5 	0.2 	setosa
4 	5.0 	3.6 	1.4 	0.2 	setosa

mocquin

>>> sns.load_dataset(
    "iris", 
    data_home="/Users/mocquin/documents/datasets"
)

mocquin

>>> sns.get_data_home()
'/Users/mocquin/seaborn-data'

mocquin

sns.load_dataset(name, cache=True, data_home=None, **kws)

mocquin

import numpy as np

class Physical():

    def __init__(self, value, unit=""):
        self.value = value # store the numerical value as a plain numpy array
        self.unit = unit

    def __repr__(self):
        return f"<Physical:({self.value}, {self.unit})"

mocquin

import numpy as np

class Physical():
    
    def __init__(self, value, unit=""):
        self.value = value
        self.unit = unit
    
    def __repr__(self):
        return f"<Physical:({self.value}, {self.unit})"