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chore(i18n,curriculum): update translations (#42930)

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camperbot
2021-07-19 22:22:21 +05:30
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4
curriculum/challenges/italian/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: 'Accedere e cambiare elementi, righe, colonne'
challengeType: 11
videoId: v-7Y7koJ_N0
dashedName: accessing-and-changing-elements-rows-columns
@ -10,7 +10,7 @@ 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?
Quale codice imposterebbe a 20 il valore della terza colonna per entrambi i seguenti array Numpy?
```py
a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])

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curriculum/challenges/italian/08-data-analysis-with-python/numpy/copying-arrays-warning.md
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---
id: 5e9a0a8e09c5df3cc3600ed7
title: Copying Arrays Warning
title: Avvertenze sulla copia di array
challengeType: 11
videoId: iIoQ0_L0GvA
dashedName: copying-arrays-warning
@ -10,7 +10,7 @@ dashedName: copying-arrays-warning
## --text--
What is the value of `a` after running the following code?
Qual è il valore di `a` dopo aver eseguito il seguente codice?
```py
import numpy as np

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curriculum/challenges/italian/08-data-analysis-with-python/numpy/initialize-array-problem.md
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---
id: 5e9a0a8e09c5df3cc3600ed6
title: Initialize Array Problem
title: Problema di inizializzazione degli array
challengeType: 11
videoId: 0jGfH8BPfOk
dashedName: initialize-array-problem
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## --text--
What is another way to produce the following array?
Qual è un altro modo di produrre il seguente array?
```py
[[0. 0. 0. 0. 0. 0. 0.]

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curriculum/challenges/italian/08-data-analysis-with-python/numpy/initializing-different-arrays.md
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---
id: 5e9a0a8e09c5df3cc3600ed5
title: Initializing Different Arrays
title: Inizializzazione di diversi array
challengeType: 11
videoId: CEykdsKT4U4
dashedName: initializing-different-arrays
@ -10,7 +10,7 @@ dashedName: initializing-different-arrays
## --text--
What will the following code print?
Cosa scriverà il seguente codice?
```py
a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])

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curriculum/challenges/italian/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.md
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---
id: 5e9a0a8e09c5df3cc3600eda
title: Loading Data and Advanced Indexing
title: Caricamento dei dati e indicizzazione avanzata
challengeType: 11
videoId: tUdBZ7pF8Jg
dashedName: loading-data-and-advanced-indexing
@ -10,14 +10,14 @@ dashedName: loading-data-and-advanced-indexing
## --text--
Given a file named `data.txt` with these contents:
Dato un file chiamato `data.txt` con questi contenuti:
<pre>
29,97,32,100,45
15,88,5,75,22
</pre>
What code would produce the following array?
Quale codice produrrebbe il seguente array?
```py
[29. 32. 45. 15. 5. 22.]

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curriculum/challenges/italian/08-data-analysis-with-python/numpy/what-is-numpy.md
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---
id: 5e9a0a8e09c5df3cc3600ed2
title: What is NumPy
title: Che cos’è NumPy
challengeType: 11
videoId: 5Nwfs5Ej85Q
dashedName: what-is-numpy
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## --text--
Why are Numpy arrays faster than regular Python lists?
Perché gli array Numpy sono più veloci delle normali liste Python?
## --answers--
Numpy does not perform type checking while iterating through objects.
Numpy non esegue il controllo del tipo durante l'iterazione attraverso gli oggetti.
---
Numpy uses fixed types.
Numpy utilizza tipi fissi.
---
Numpy uses contiguous memory.
Numpy utilizza memoria contigua.
---
All of the above.
Tutti i precedenti.
## --video-solution--