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chore(i18n,learn): processed translations (#45432)

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8
curriculum/challenges/espanol/08-data-analysis-with-python/numpy/accessing-and-changing-elements,-rows,-columns.md
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---
id: 5e9a0a8e09c5df3cc3600ed4
title: 'Accessing and Changing Elements, Rows, Columns'
title: 'Acceder y cambiar elementos, filas, columnas'
challengeType: 11
videoId: v-7Y7koJ_N0
bilibiliIds:
aid: 590517748
bvid: BV1Eq4y1f7Fa
cid: 409025392
dashedName: accessing-and-changing-elements-rows-columns
---
@ -10,7 +14,7 @@ dashedName: accessing-and-changing-elements-rows-columns
## --text--
What code would change the values in the 3rd column of both of the following Numpy arrays to 20?
¿Qué código cambiaría los valores en la tercera columna de los siguientes matrices Numpy a 20?
```py
a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])

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curriculum/challenges/espanol/08-data-analysis-with-python/numpy/basics-of-numpy.md
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---
id: 5e9a0a8e09c5df3cc3600ed3
title: Basics of Numpy
title: Fundamentos de Numpy
challengeType: 11
videoId: f9QrZrKQMLI
bilibiliIds:
aid: 763014202
bvid: BV1K64y1a7bu
cid: 409025169
dashedName: basics-of-numpy
---
@ -10,7 +14,7 @@ dashedName: basics-of-numpy
## --text--
What will the following code print?
¿Qué hará el siguiente código?
```python
b = np.array([[1.0,2.0,3.0],[3.0,4.0,5.0]])

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curriculum/challenges/espanol/08-data-analysis-with-python/numpy/what-is-numpy.md
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---
id: 5e9a0a8e09c5df3cc3600ed2
title: What is NumPy
title: Qué es NumPy
challengeType: 11
videoId: 5Nwfs5Ej85Q
bilibiliIds:
aid: 293086867
bvid: BV1Tf4y1E7QZ
cid: 409024791
dashedName: what-is-numpy
---
@ -10,23 +14,23 @@ dashedName: what-is-numpy
## --text--
Why are Numpy arrays faster than regular Python lists?
¿Por qué los arreglos Numpy son más rápidos que las listas de Python?
## --answers--
Numpy does not perform type checking while iterating through objects.
¿Por qué los arreglos Numpy son más rápidas que las listas normales de Python.
---
Numpy uses fixed types.
Numpy usa tipos fijos.
---
Numpy uses contiguous memory.
Numpy usa memoria contigua.
---
All of the above.
Todo lo anterior.
## --video-solution--