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chore(i18n,curriculum): update translations (#43018)

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12
curriculum/challenges/portuguese/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: Limpar os dados com 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.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp)
- [Como abrir notebooks do GitHub usando o 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?
O que será impresso pelo código a seguir?
```py
import pandas as pd

14
curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.md
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---
id: 5e9a093a74c4063ca6f7c14c
title: Introduction to Data Analysis
title: Introduzir a análise de dados
challengeType: 11
videoId: VJrP2FUzKP0
dashedName: introduction-to-data-analysis
@ -8,7 +8,7 @@ dashedName: introduction-to-data-analysis
# --description--
More resources:
Mais recursos:
\- [Slides](https://docs.google.com/presentation/d/1cUIt8b2ySz-85_ykfeuuWsurccwTAuFPn782pZBzFsU/edit?usp=sharing)
@ -16,23 +16,23 @@ More resources:
## --text--
Which of the following is **not** part of Data Analysis?
Qual das seguintes etapas **não** é parte da análise de dados?
## --answers--
Building statistical models and data visualizations.
Construir modelos estatísticos e visualizações de dados.
---
Picking a desired conclusion for the analysis.
Escolher uma conclusão desejada para a análise.
---
Fixing incorrect values and removing invalid data.
Corrigir valores incorretos e remover dados inválidos.
---
Transforming data into an appropriate data structure.
Transformar dados em uma estrutura de dados apropriada.
## --video-solution--

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/numpy-algebra-and-size.md
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---
id: 5e9a093a74c4063ca6f7c157
title: Numpy Algebra and Size
title: Utilizar álgebra no NumPy e tamanho
challengeType: 11
videoId: XAT97YLOKD8
dashedName: numpy-algebra-and-size
@ -8,34 +8,34 @@ dashedName: numpy-algebra-and-size
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [Como abrir notebooks do GitHub usando o Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What is the relationship between size of objects (such as lists and datatypes) in memory in Python's standard library and the NumPy library? Knowing this, what are the implications for performance?
Qual é a relação entre o tamanho dos objetos (como listas e datatypes) na memória na biblioteca padrão do Python e na biblioteca do NumPy? Sabendo isto, quais são as implicações para o desempenho?
## --answers--
Standard Python objects take up much more memory to store than NumPy objects; operations on comparable standard Python and NumPy objects complete in roughly the same time.
Objetos Python padrão ocupam muito mais memória para armazenar que objetos do NumPy. Operações em objetos padrão comparáveis do Python e do NumPy são concluídas aproximadamente ao mesmo tempo.
---
NumPy objects take up much more memory than standard Python objects; operations on NumPy objects complete very quickly compared to comparable objects in standard Python.
Objetos do NumPy ocupam muito mais memória do que os objetos Python padrão. Operações nos objetos do NumPy são concluídas muito rapidamente em comparação a objetos comparáveis no Python padrão.
---
NumPy objects take up much less memory than Standard Python objects; operations on Standard Python objects complete very quickly compared to comparable objects on NumPy Object.
Objetos do NumPy ocupam muito menos memória do que os objetos Python padrão. Operações nos objetos do Python são concluídas muito rapidamente em comparação a objetos comparáveis no NumPy.
---
Standard Python objects take up more memory than NumPy objects; operations on NumPy objects complete very quickly compared to comparable objects in standard Python.
Objetos do Python padrão ocupam muito mais memória do que os objetos NumPy. Operações nos objetos do NumPy são concluídas muito rapidamente em comparação a objetos comparáveis no Python padrão.
## --video-solution--

12
curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.md
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---
id: 5e9a093a74c4063ca6f7c154
title: Numpy Arrays
title: Conhecer os arrays do NumPy
challengeType: 11
videoId: VDYVFHBL1AM
dashedName: numpy-arrays
@ -8,18 +8,18 @@ dashedName: numpy-arrays
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [Como abrir notebooks do GitHub usando o 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?
O que será impresso pelo código a seguir?
```py
A = np.array([

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/numpy-boolean-arrays.md
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---
id: 5e9a093a74c4063ca6f7c156
title: Numpy Boolean Arrays
title: Conhecer os arrays booleanos do NumPy
challengeType: 11
videoId: N1ttsMmcVMM
dashedName: numpy-boolean-arrays
@ -8,18 +8,18 @@ dashedName: numpy-boolean-arrays
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [Como abrir notebooks do GitHub usando o 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?
O que será impresso pelo código a seguir?
```py
a = np.arange(5)

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-a.md
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---
id: 5e9a093a74c4063ca6f7c152
title: Numpy Introduction A
title: Introdução ao NumPy A
challengeType: 11
videoId: P-JjV6GBCmk
dashedName: numpy-introduction-a
@ -8,30 +8,30 @@ dashedName: numpy-introduction-a
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [Como abrir notebooks do GitHub usando o Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
Why is Numpy an important, but unpopular Python library?
Por que o NumPy é uma biblioteca importante do Python mas não é popular?
## --answers--
Often you won't work directly with Numpy.
Muitas vezes, você não trabalhará diretamente com o NumPy.
---
It is extremely slow.
Ele é extremamente lento.
---
Working with Numpy is difficult.
Trabalhar com o NumPy é difícil.
## --video-solution--

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.md
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---
id: 5e9a093a74c4063ca6f7c153
title: Numpy Introduction B
title: Introdução ao NumPy B
challengeType: 11
videoId: YIqgrNLAZkA
dashedName: numpy-introduction-b
@ -8,18 +8,18 @@ dashedName: numpy-introduction-b
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
- [Como abrir notebooks do GitHub usando o Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
About how much memory does the integer `5` consume in plain Python?
Quanta memória o inteiro `5` consome em Python puro, aproximadamente?
## --answers--

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/pandas-conditional-selection-and-modifying-dataframes.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c15b
title: Pandas Conditional Selection and Modifying DataFrames
title: Selecionar com condições no Pandas e modificar DataFrames
challengeType: 11
videoId: BFlH0fN5xRQ
dashedName: pandas-conditional-selection-and-modifying-dataframes
@ -8,18 +8,18 @@ dashedName: pandas-conditional-selection-and-modifying-dataframes
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [Como abrir notebooks do GitHub usando o 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?
O que será impresso pelo código a seguir?
```py
import pandas as pd

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.md
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---
id: 5e9a093a74c4063ca6f7c15c
title: Pandas Creating Columns
title: Criar colunas com o Pandas
challengeType: 11
videoId: _sSo2XZoB3E
dashedName: pandas-creating-columns
@ -8,24 +8,24 @@ dashedName: pandas-creating-columns
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [Como abrir notebooks do GitHub usando o Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
Qual código adicionaria uma coluna "Certificates per month" ao DataFrame `certificates_earned` como este abaixo?
<pre> Certificates Time (in months) Certificates per month
Tom 8 16 0.50
Kris 2 5 0.40
Ahmad 5 9 0.56
Beau 6 12 0.50</pre>
<pre> Certificates Time (in months) Longest streak
Tom 8 16 13
Kris 2 5 11
Ahmad 5 9 9
Beau 6 12 7</pre>
## --answers--

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.md
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---
id: 5e9a093a74c4063ca6f7c159
title: Pandas Indexing and Conditional Selection
title: Indexar no Pandas e selecionar de modo condicional
challengeType: 11
videoId: '-ZOrgV_aA9A'
dashedName: pandas-indexing-and-conditional-selection
@ -8,18 +8,18 @@ dashedName: pandas-indexing-and-conditional-selection
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [Como abrir notebooks do GitHub usando o 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?
O que será impresso pelo código a seguir?
```py
import pandas as pd

12
curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-csv-and-txt.md
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---
id: 5e9a093a74c4063ca6f7c162
title: Reading Data CSV and TXT
title: Ler dados de CSV e TXT
challengeType: 11
videoId: ViGEv0zOzUk
dashedName: reading-data-csv-and-txt
@ -8,18 +8,18 @@ dashedName: reading-data-csv-and-txt
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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)
- [Notebooks no 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)
- [Como abrir notebooks do GitHub usando o Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
How would you import the CSV file `data.csv` and store it in a DataFrame using the Pandas module?
Como você importaria o arquivo CSV `data.csv` e o armazenaria em um DataFrame usando o módulo Pandas?
## --answers--

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curriculum/challenges/portuguese/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-from-databases.md
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@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c163
title: Reading Data from Databases
title: Ler dados do banco de dados
challengeType: 11
videoId: MtgXS1MofRw
dashedName: reading-data-from-databases
@ -8,30 +8,30 @@ dashedName: reading-data-from-databases
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
More resources:
Mais recursos:
- [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-11-reading-data-from-relational-databases/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)
- [Notebooks no 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-11-reading-data-from-relational-databases/files)
- [Como abrir notebooks do GitHub usando o Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What method does a `Cursor` instance have and what does it allow?
Qual método uma instância de `Cursor` tem e o que esse método permite?
## --answers--
The `Cursor` instance has a `.run()` method which allows you to run SQL queries.
A instância de `Cursor` tem um método `.run()` que permite que você execute consultas SQL.
---
The `Cursor` instance has a `.select()` method which allows you to select records.
A instância de `Cursor` tem um método `.select()` que permite que você selecione registros.
---
The `Cursor` instance has an `.execute()` method which will receive SQL parameters to run against the database.
A instância de `Cursor` tem um método `.execute()`, que receberá parâmetros de SQL para serem executados no banco de dados.
## --video-solution--