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

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/data-analysis-example-a.md
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---
id: 5e9a093a74c4063ca6f7c14d
title: Data Analysis Example A
title: Esempio A di analisi dei dati
challengeType: 11
videoId: nVAaxZ34khk
dashedName: data-analysis-example-a
@ -8,34 +8,34 @@ dashedName: data-analysis-example-a
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What does the shape of our dataframe tell us?
Cosa ci dice il profilo (shape) del nostro dataframe?
## --answers--
The size in gigabytes the dataframe we loaded into memory is.
La dimensione in gigabyte del dataframe che abbiamo caricato in memoria.
---
How many rows and columns our dataframe has.
Quante righe e colonne ha il nostro database.
---
How many rows the source data had before loading.
Quante righe aveva la sorgente dei dati prima del caricamento.
---
How many columns the source data had before loading.
Quante colonne aveva la sorgente dei dati prima del caricamento.
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/data-analysis-example-b.md
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---
id: 5e9a093a74c4063ca6f7c14e
title: Data Analysis Example B
title: Esempio B di analisi dei dati
challengeType: 11
videoId: 0kJz0q0pvgQ
dashedName: data-analysis-example-b
@ -8,30 +8,30 @@ dashedName: data-analysis-example-b
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What does the `loc` method allow you to do?
Cosa ti permette di fare il metodo `loc`?
## --answers--
Retrieve a subset of rows and columns by supplying integer-location arguments.
Recuperare un sottoinsieme di righe e colonne fornendo argomenti interi di localizzazione.
---
Access a group of rows and columns by supplying label(s) arguments.
Accedere a un gruppo di righe e colonne fornendo argomenti di etichetta.
---
Returns the first `n` rows based on the integer argument supplied.
Restituisce le prime `n` righe basate sull'argomento intero fornito.
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.md
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---
id: 5e9a093a74c4063ca6f7c160
title: Data Cleaning and Visualizations
title: Pulizia e visualizzazione dei dati
challengeType: 11
videoId: mHjxzFS5_Z0
dashedName: data-cleaning-and-visualizations
@ -8,18 +8,18 @@ dashedName: data-cleaning-and-visualizations
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
When using Matplotlib's global API, what does the order of numbers mean here?
Quando si utilizza l'API globale di Matplotlib, cosa significa l'ordine dei numeri?
```py
plt.subplot(1, 2, 1)
@ -27,15 +27,15 @@ plt.subplot(1, 2, 1)
## --answers--
My figure will have one column, two rows, and I am going to start drawing in the first (left) plot.
La mia figura avrà una colonna, due righe, e sto per iniziare a disegnare nel primo grafico (a sinistra).
---
I am going to start drawing in the first (left) plot, my figure will have two rows, and my figure will have one column.
Inizierò a disegnare nel primo grafico (a sinistra), la mia figura avrà due righe, e la mia figura avrà una colonna.
---
My figure will have one row, two columns, and I am going to start drawing in the first (left) plot.
La mia figura avrà una riga, due colonne, e sto per iniziare a disegnare nel primo grafico (a sinistra).
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c15f
title: Data Cleaning Duplicates
title: Pulizia di dati duplicati
challengeType: 11
videoId: kj7QqjXhH6A
dashedName: data-cleaning-duplicates
@ -8,30 +8,30 @@ dashedName: data-cleaning-duplicates
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
Il metodo di Python `.duplicated()` restituisce una serie booleana per il tuo DataFrame. `True` è restuito per righe che:
## --answers--
contain a duplicate, where the value for the row contains the first occurrence of that value.
contengono un duplicato, dove il valore della riga contiene la prima occorrenza del valore.
---
contain a duplicate, where the value for the row is at least the second occurrence of that value.
contengono un duplicato, dove il valore per quella riga è almeno la seconda occorrenza di quel valore.
---
contain a duplicate, where the value for the row contains either the first or second occurrence.
contengono un duplicato, dove il valore per quella riga è la prima oppure la seconda occorrenza.
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c15d
title: Data Cleaning Introduction
title: Introduzione alla pulizia dei dati
challengeType: 11
videoId: ovYNhnltVxY
dashedName: data-cleaning-introduction
@ -8,18 +8,18 @@ dashedName: data-cleaning-introduction
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What will the following code print out?
Cosa verrà visualizzato nella console con il seguente codice?
```py
import pandas as pd

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.md
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---
id: 5e9a093a74c4063ca6f7c15e
title: Data Cleaning with DataFrames
title: Pulizia dati con DataFrames
challengeType: 11
videoId: sTMN_pdI6S0
dashedName: data-cleaning-with-dataframes
@ -8,18 +8,18 @@ dashedName: data-cleaning-with-dataframes
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What will the following code print out?
Cosa verrà visualizzato nella console con il seguente codice?
```py
import pandas as pd

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/how-to-use-jupyter-notebooks-intro.md
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---
id: 5e9a093a74c4063ca6f7c14f
title: How to use Jupyter Notebooks Intro
title: Introduzione all'uso di Jupyter Notebooks
challengeType: 11
videoId: h8caJq2Bb9w
dashedName: how-to-use-jupyter-notebooks-intro
@ -8,18 +8,18 @@ dashedName: how-to-use-jupyter-notebooks-intro
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What is **not** allowed in a Jupyter Notebook's cell?
Cosa **non** è permesso in una cella di un Jupyter Notebook?
## --answers--
@ -27,11 +27,11 @@ Markdown
---
Python code
Codice Python
---
An Excel sheet
Un foglio Excel
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-cells.md
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---
id: 5e9a093a74c4063ca6f7c150
title: Jupyter Notebooks Cells
title: Celle di Jupyter Notebook
challengeType: 11
videoId: 5PPegAs9aLA
dashedName: jupyter-notebooks-cells
@ -8,30 +8,30 @@ dashedName: jupyter-notebooks-cells
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What are the three main types of Jupyter Notebook Cell?
Quali sono i tre tipi principali di celle dei Jupyter Notebook?
## --answers--
Code, Markdown, and Python
Codice, Markdown e Python
---
Code, Markdown, and Raw
Codice, Markdown e output diretto (raw)
---
Markdown, Python, and Raw
Markdown, Python, e output diretto (raw)
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-importing-and-exporting-data.md
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---
id: 5e9a093a74c4063ca6f7c151
title: Jupyter Notebooks Importing and Exporting Data
title: Importare ed esportare dati usando Jupyter Notebook
challengeType: 11
videoId: k1msxD3JIxE
dashedName: jupyter-notebooks-importing-and-exporting-data
@ -8,38 +8,38 @@ dashedName: jupyter-notebooks-importing-and-exporting-data
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What kind of data can you import and work with in a Jupyter Notebook?
Che tipo di dati puoi importare e elaborare in un notebook Jupyter?
## --answers--
Excel files.
File Excel.
---
CSV files.
File CSV.
---
XML files.
File XML.
---
Data from an API.
Dati da un'API.
---
All of the above.
Tutti i precedenti.
## --video-solution--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/numpy-operations.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c155
title: Numpy Operations
title: Operazioni con Numpy
challengeType: 11
videoId: eqSVcJbaPdk
dashedName: numpy-operations
@ -8,18 +8,18 @@ dashedName: numpy-operations
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What is the value of `a` after you run the following code?
Qual è il valore di `a` dopo aver eseguito il seguente codice?
```py
a = np.arange(5)

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.md
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---
id: 5e9a093a74c4063ca6f7c15a
title: Pandas DataFrames
title: I DataFrame di Panda
challengeType: 11
videoId: 7SgFBYXaiH0
dashedName: pandas-dataframes
@ -8,18 +8,18 @@ dashedName: pandas-dataframes
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What will the following code print out?
Cosa verrà visualizzato nella console con il seguente codice?
```py
import pandas as pd

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/pandas-introduction.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c158
title: Pandas Introduction
title: Introduzione a Pandas
challengeType: 11
videoId: 0xACW-8cZU0
dashedName: pandas-introduction
@ -8,18 +8,18 @@ dashedName: pandas-introduction
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What will the following code print out?
Cosa verrà visualizzato nella console con il seguente codice?
```py
import pandas as pd

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/parsing-html-and-saving-data.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c164
title: Parsing HTML and Saving Data
title: Analisi HTML e salvataggio dei dati
challengeType: 11
videoId: bJaqnTWQmb0
dashedName: parsing-html-and-saving-data
@ -8,18 +8,18 @@ dashedName: parsing-html-and-saving-data
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-17-reading-html-tables/files)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-17-reading-html-tables/files)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What Python library has the `.read_html()` method we can we use for parsing HTML documents and extracting tables?
Quale libreria di Python ha un metodo `.read_html()` che possiamo usare per analizzare documenti HTML ed estrarre tabelle?
## --answers--

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curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/python-functions-and-collections.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c166
title: Python Functions and Collections
title: Funzioni e collezioni di Python
challengeType: 11
videoId: NzpU17ZVlUw
dashedName: python-functions-and-collections
@ -8,30 +8,30 @@ dashedName: python-functions-and-collections
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What is the main difference between lists and tuples in Python?
Quale è la principale differenza tra liste e tuple in Python?
## --answers--
Tuples are immutable.
Le tuple sono immutabili.
---
Lists are ordered.
Le liste sono ordinate.
---
Tuples are unordered.
Le tuple non sono ordinate.
## --video-solution--

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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c165
title: Python Introduction
title: Introduzione a Python
challengeType: 11
videoId: PrQV9JkLhb4
dashedName: python-introduction
@ -8,34 +8,34 @@ dashedName: python-introduction
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
How do we define blocks of code in the body of functions in Python?
Come definiamo blocchi di codice nel corpo di una funzione in Python?
## --answers--
We use a set of curly braces, one on either side of each new block of our code.
Usiamo una coppia di parentesi graffe, una da ogni lato di un nuovo blocco di codice.
---
We use indentation, usually right-aligned 4 spaces.
Usiamo l'indentazione, in genere quattro spazi a sinistra della riga.
---
We do not denote blocks of code.
Non si possono definire blocchi di codice.
---
We could use curly braces or indentation to denote blocks of code.
Possiamo usare o le parentesi graffe o l'indentazione.
## --video-solution--

12
curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/python-iteration-and-modules.md
View File

@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c167
title: Python Iteration and Modules
title: Iterazione e moduli in Python
challengeType: 11
videoId: XzosGWLafrY
dashedName: python-iteration-and-modules
@ -8,18 +8,18 @@ dashedName: python-iteration-and-modules
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
How would you iterate over and print the keys and values of a dictionary named `user`?
Come faresti per iterare su un dizionario chiamato `user` e scrivere nella console le sue chiavi e valori?
## --answers--

14
curriculum/challenges/italian/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c161
title: Reading Data Introduction
title: Introduzione alla lettura dei dati
challengeType: 11
videoId: cDnt02BcHng
dashedName: reading-data-introduction
@ -8,18 +8,18 @@ dashedName: reading-data-introduction
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
More resources:
Altre risorse:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-1-reading-csv-and-txt-files/files)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-1-reading-csv-and-txt-files/files)
- [Come aprire Notebooks da GitHub usando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
Given a file named `certificates.csv` with these contents:
Dato un file chiamato `certificates.csv` con questi contenuti:
<pre>
Name$Certificates$Time (in months)
@ -29,7 +29,7 @@ Ahmad$5$9
Beau$6$12
</pre>
Fill in the blanks for the missing arguments below:
Riempi gli spazi vuoti per gli argomenti mancanti qui sotto:
```py
import csv