diogo diogobaltazar

// js

> f = (...args) => args.length
> f(1, 2, [1, 2])
3

#py

# py

> a = 1
> b = 'a'
> eval(b)
1

// js

> keys = [0, 1, 2]
> values = ['a', 'b', 'c']
> obj = {}
> keys.forEach((key, i) => obj[key] => values[i] )
> obj
{0: 'a', 1:'b', 2:'c'}

// js
> [1, 2, 3, 4, 5].slice(0, 1) // from index 0 inclusive to index 1 exclusive
[1]
> [1, 2, 3, 4, 5].slice(1, -1)
[2, 3, 4]

// arrays are objects

// js

> ((...a) => a.some(_ => _)) ("", '', 0, false, null, NaN, undefined)
false
> ["", '', 0, false, null, NaN, undefined].some(Boolean)
false

# py
> def f(a, b = 1):
>     return a + b
> print f(1)
2

# python
if True:
  print 'always'
elif False:
  print 'never'
else:
  print 'never ever'

	> var object = { 'a': 1, 'b': '2', 'c': 3 };
	> _.omit(object, ['a', 'c']);
	{ 'b': '2' }

	> object = { 'a': [{ 'b': 2 }, { 'd': 4 }] }
	> other = { 'a': [{ 'c': 3 }, { 'e': 5 }] }
	> _.merge(object, other);
	{ 'a': [{ 'b': 2, 'c': 3 }, { 'd': 4, 'e': 5 }] }
	> a = {b: [{a : 1}, {b: 12}]}
	> b = {b: [{b: 67}]}

	import numpy as np
	import pandas as pd

	> lbls = ['a', 'b', 'c'] # or np.array
	> data = [123, 423, 456]
	> d = {}
	> for i in np.arange(len(lbls)):
	> d[lbls[i]] = data[i]

	> pd.Series(data = data)

	form_data = {}

	// evaluating the args out of the if-then clause enables them to be available
	// inside the if-then body. They are intended to be evaluated on whether they're
	// empty or not, but evaluating them on the if-then condition would not let all
	// args be evaluated if at least one but the last was not empty.

	lastEvolutionsEdit = {{admin_edit_evolution_txt.text}}
	lastRoleEdit = {{admin_edit_role_txt.text}}
	lastTrainEdit = {{admin_edit_training_txt.text}}