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Feat: add new Markdown parser (#39800)

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and change all the challenges to new `md` format.
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Oliver Eyton-Williams
2020-11-27 19:02:05 +01:00
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49
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-analysis-example-a.md
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@ -5,37 +5,38 @@ challengeType: 11
videoId: nVAaxZ34khk
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What does the shape of our dataframe tell us?
```yml
question:
text: |
What does the shape of our dataframe tell us?
## --answers--
answers:
- |
The size in gigabytes the dataframe we loaded into memory is.
- |
How many rows and columns our dataframe has.
- |
How many rows the source data had before loading.
- |
How many columns the source data had before loading.
solution: 2
```
The size in gigabytes the dataframe we loaded into memory is.
---
How many rows and columns our dataframe has.
---
How many rows the source data had before loading.
---
How many columns the source data had before loading.
## --video-solution--
2
</section>

43
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-analysis-example-b.md
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@ -5,35 +5,34 @@ challengeType: 11
videoId: 0kJz0q0pvgQ
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/FreeCodeCamp-Pandas-Real-Life-Example" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What does the `loc` method allow you to do?
```yml
question:
text: |
What does the <code>loc</code> method allow you to do?
## --answers--
answers:
- |
Retrieve a subset of rows and columns by supplying integer-location arguments.
- |
Access a group of rows and columns by supplying label(s) arguments.
- |
Returns the first <code>n</code> rows based on the integer argument supplied.
solution: 2
```
Retrieve a subset of rows and columns by supplying integer-location arguments.
---
Access a group of rows and columns by supplying label(s) arguments.
---
Returns the first `n` rows based on the integer argument supplied.
## --video-solution--
2
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.md
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@ -5,38 +5,38 @@ challengeType: 11
videoId: mHjxzFS5_Z0
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
When using Matplotlib's global API, what does the order of numbers mean here?
````yml
question:
text: |
When using Matplotlib's global API, what does the order of numbers mean here?
```py
plt.subplot(1, 2, 1)
```
```py
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.
- |
I am going to start drawing in the first (left) plot, my figure will have two rows, and my figure will have one column.
- |
My figure will have one row, two columns, and I am going to start drawing in the first (left) plot.
solution: 3
````
## --answers--
My figure will have one column, two rows, and I am going to start drawing in the first (left) plot.
---
I am going to start drawing in the first (left) plot, my figure will have two rows, and my figure will have one column.
---
My figure will have one row, two columns, and I am going to start drawing in the first (left) plot.
## --video-solution--
3
</section>

43
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.md
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@ -5,35 +5,34 @@ challengeType: 11
videoId: kj7QqjXhH6A
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
```yml
question:
text: |
The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
## --answers--
answers:
- |
contain a duplicate, where the value for the row contains the first occurrence of that value.
- |
contain a duplicate, where the value for the row is at least the second occurrence of that value.
- |
contain a duplicate, where the value for the row contains either the first or second occurrence.
solution: 2
```
contain a duplicate, where the value for the row contains the first occurrence of that value.
---
contain a duplicate, where the value for the row is at least the second occurrence of that value.
---
contain a duplicate, where the value for the row contains either the first or second occurrence.
## --video-solution--
2
</section>

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.md
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@ -5,58 +5,57 @@ challengeType: 11
videoId: ovYNhnltVxY
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
import numpy as np
```py
import pandas as pd
import numpy as np
s = pd.Series(['a', 3, np.nan, 1, np.nan])
s = pd.Series(['a', 3, np.nan, 1, np.nan])
print(s.notnull().sum())
```
print(s.notnull().sum())
```
## --answers--
answers:
- |
3
- |
```
0 True
1 True
2 False
3 True
4 False
dtype: bool
```
- |
```
0 False
1 False
2 True
3 False
4 True
dtype: bool
```
solution: 1
````
3
---
```
0 True
1 True
2 False
3 True
4 False
dtype: bool
```
---
```
0 False
1 False
2 True
3 False
4 True
dtype: bool
```
## --video-solution--
1
</section>

99
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.md
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@ -5,66 +5,65 @@ challengeType: 11
videoId: sTMN_pdI6S0
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
import numpy as np
```py
import pandas as pd
import numpy as np
s = pd.Series([np.nan, 1, 2, np.nan, 3])
s = s.fillna(method='ffill')
s = pd.Series([np.nan, 1, 2, np.nan, 3])
s = s.fillna(method='ffill')
print(s)
```
print(s)
```
## --answers--
answers:
- |
```
0 1.0
1 1.0
2 2.0
3 3.0
4 3.0
dtype: float64
```
- |
```
0 NaN
1 1.0
2 2.0
3 2.0
4 3.0
dtype: float64
```
- |
```
0 NaN
1 1.0
2 2.0
3 NaN
4 3.0
dtype: float64
```
solution: 2
````
```
0 1.0
1 1.0
2 2.0
3 3.0
4 3.0
dtype: float64
```
---
```
0 NaN
1 1.0
2 2.0
3 2.0
4 3.0
dtype: float64
```
---
```
0 NaN
1 1.0
2 2.0
3 NaN
4 3.0
dtype: float64
```
## --video-solution--
2
</section>

45
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/how-to-use-jupyter-notebooks-intro.md
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@ -5,36 +5,35 @@ challengeType: 11
videoId: h8caJq2Bb9w
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- <a href="https://twitter.com/rmotr_com/status/1122176794696847361" target="_blank" rel="noopener noreferrer">Twitter Cheat Sheet</a>
- [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)
- [Twitter Cheat Sheet](https://twitter.com/rmotr_com/status/1122176794696847361)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What is **not** allowed in a Jupyter Notebook's cell?
```yml
question:
text: |
What is **not** allowed in a Jupyter Notebook's cell?
## --answers--
answers:
- |
Markdown
- |
Python code
- |
An Excel sheet
solution: 3
```
Markdown
---
Python code
---
An Excel sheet
## --video-solution--
3
</section>

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.md
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@ -5,32 +5,35 @@ challengeType: 11
videoId: VJrP2FUzKP0
---
## Description
# --description--
<section id='description'>
More resources:
- <a href="https://docs.google.com/presentation/d/1fDpjlyMiOMJyuc7_jMekcYLPP2XlSl1eWw9F7yE7byk" target="_blank" rel="noopener noreferrer">Slides</a>
</section>
## Tests
\- [Slides](https://docs.google.com/presentation/d/1fDpjlyMiOMJyuc7_jMekcYLPP2XlSl1eWw9F7yE7byk)
<section id='tests'>
# --question--
```yml
question:
text: |
Why should you choose R over Python for data analysis?
## --text--
answers:
- |
It's simple to learn.
- |
It's better at dealing with advanced statistical methods.
- |
There are many powerful libraries that support R.
- |
It's free and open source.
solution: 2
```
Why should you choose R over Python for data analysis?
## --answers--
It's simple to learn.
---
It's better at dealing with advanced statistical methods.
---
There are many powerful libraries that support R.
---
It's free and open source.
## --video-solution--
2
</section>

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-cells.md
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@ -5,36 +5,35 @@ challengeType: 11
videoId: 5PPegAs9aLA
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- <a href="https://twitter.com/rmotr_com/status/1122176794696847361" target="_blank" rel="noopener noreferrer">Twitter Cheat Sheet</a>
- [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)
- [Twitter Cheat Sheet](https://twitter.com/rmotr_com/status/1122176794696847361)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
Which cells are responsible for rich display?
```yml
question:
text: |
Which cells are responsible for rich display?
## --answers--
answers:
- |
Code Cells
- |
Markdown Cells
- |
Raw Cells
solution: 1
```
Code Cells
---
Markdown Cells
---
Raw Cells
## --video-solution--
1
</section>

57
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/jupyter-notebooks-importing-and-exporting-data.md
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@ -5,40 +5,43 @@ challengeType: 11
videoId: k1msxD3JIxE
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- <a href="https://twitter.com/rmotr_com/status/1122176794696847361" target="_blank" rel="noopener noreferrer">Twitter Cheat Sheet</a>
- [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)
- [Twitter Cheat Sheet](https://twitter.com/rmotr_com/status/1122176794696847361)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What kind of data can you import and work with in a Jupyter Notebook?
```yml
question:
text: |
What kind of data can you import and work with in a Jupyter Notebook?
## --answers--
answers:
- |
Excel files.
- |
CSV files.
- |
XML files.
- |
Data from an API.
- |
All of the above.
solution: 5
```
Excel files.
---
CSV files.
---
XML files.
---
Data from an API.
---
All of the above.
## --video-solution--
5
</section>

49
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-algebra-and-size.md
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@ -5,37 +5,38 @@ challengeType: 11
videoId: XAT97YLOKD8
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
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?
```yml
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?
## --answers--
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.
- |
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.
- |
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.
- |
Standard Python objects take up more memory than NumPy objects; operations on NumPy objects complete very quickly compared to comparable objects in standard Python.
solution: 4
```
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.
---
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.
---
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.
---
Standard Python objects take up more memory than NumPy objects; operations on NumPy objects complete very quickly compared to comparable objects in standard Python.
## --video-solution--
4
</section>

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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.md
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@ -5,55 +5,54 @@ challengeType: 11
videoId: VDYVFHBL1AM
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
A = np.array([
['a', 'b', 'c'],
['d', 'e', 'f'],
['g', 'h', 'i']
])
```py
A = np.array([
['a', 'b', 'c'],
['d', 'e', 'f'],
['g', 'h', 'i']
])
print(A[:, :2])
```
print(A[:, :2])
```
## --answers--
answers:
- |
```python
[['a' 'b']]
```
- |
```py
[['b' 'c']
['e' 'f']
['h' 'i']]
```
- |
```py
[['a' 'b']
['d' 'e']
['g' 'h']]
```
solution: 3
````
```python
[['a' 'b']]
```
---
```py
[['b' 'c']
['e' 'f']
['h' 'i']]
```
---
```py
[['a' 'b']
['d' 'e']
['g' 'h']]
```
## --video-solution--
3
</section>

74
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View File

@ -5,50 +5,52 @@ challengeType: 11
videoId: N1ttsMmcVMM
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
a = np.arange(5)
```py
a = np.arange(5)
print(a <= 3)
```
print(a <= 3)
```
answers:
- |
```python
[False, False, False, False, True]
```
- |
```python
[5]
```
- |
```python
[0, 1, 2, 3]
```
- |
```python
[True, True, True, True, False]
```
solution: 4
````
## --answers--
```python
[False, False, False, False, True]
```
---
```python
[5]
```
---
```python
[0, 1, 2, 3]
```
---
```python
[True, True, True, True, False]
```
## --video-solution--
4
</section>

43
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-a.md
View File

@ -5,35 +5,34 @@ challengeType: 11
videoId: P-JjV6GBCmk
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
Why is Numpy an important, but unpopular Python library?
```yml
question:
text: |
Why is Numpy an important, but unpopular Python library?
## --answers--
answers:
- |
Often you won't work directly with Numpy.
- |
It is extremely slow.
- |
Working with Numpy is difficult.
solution: 1
```
Often you won't work directly with Numpy.
---
It is extremely slow.
---
Working with Numpy is difficult.
## --video-solution--
1
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.md
View File

@ -5,36 +5,38 @@ challengeType: 11
videoId: YIqgrNLAZkA
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
About how much memory does the integer `5` consume in plain Python?
```yml
question:
text: |
About how much memory does the integer `5` consume in plain Python?
answers:
- |
32 bits
- |
20 bytes
- |
16 bytes
- |
8 bits
solution: 2
```
## --answers--
32 bits
---
20 bytes
---
16 bytes
---
8 bits
## --video-solution--
2
</section>

63
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View File

@ -5,46 +5,45 @@ challengeType: 11
videoId: eqSVcJbaPdk
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What is the value of `a` after you run the following code?
````yml
question:
text: |
What is the value of `a` after you run the following code?
```py
a = np.arange(5)
a + 20
```
```py
a = np.arange(5)
a + 20
```
## --answers--
answers:
- |
```python
[20, 21, 22, 24, 24]
```
- |
```python
[0, 1, 2, 3, 4]
```
- |
```python
[25, 26, 27, 28, 29]
```
solution: 2
````
```python
[20, 21, 22, 24, 24]
```
---
```python
[0, 1, 2, 3, 4]
```
---
```python
[25, 26, 27, 28, 29]
```
## --video-solution--
2
</section>

103
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View File

@ -5,69 +5,68 @@ challengeType: 11
videoId: BFlH0fN5xRQ
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
```py
import pandas as pd
certificates_earned = pd.DataFrame({
'Certificates': [8, 2, 5, 6],
'Time (in months)': [16, 5, 9, 12]
})
names = ['Tom', 'Kris', 'Ahmad', 'Beau']
certificates_earned = pd.DataFrame({
'Certificates': [8, 2, 5, 6],
'Time (in months)': [16, 5, 9, 12]
})
names = ['Tom', 'Kris', 'Ahmad', 'Beau']
certificates_earned.index = names
longest_streak = pd.Series([13, 11, 9, 7], index=names)
certificates_earned['Longest streak'] = longest_streak
certificates_earned.index = names
longest_streak = pd.Series([13, 11, 9, 7], index=names)
certificates_earned['Longest streak'] = longest_streak
print(certificates_earned)
```
print(certificates_earned)
```
## --answers--
answers:
- |
```
Tom 13
Kris 11
Ahmad 9
Beau 7
Name: Longest streak, dtype: int64
```
- |
```
Certificates Time (in months) Longest streak
Tom 8 16 13
Kris 2 5 11
Ahmad 5 9 9
Beau 6 12 7
```
- |
```
Certificates Longest streak
Tom 8 13
Kris 2 11
Ahmad 5 9
Beau 6 7
```
solution: 2
````
```
Tom 13
Kris 11
Ahmad 9
Beau 7
Name: Longest streak, dtype: int64
```
---
```
Certificates Time (in months) Longest streak
Tom 8 16 13
Kris 2 5 11
Ahmad 5 9 9
Beau 6 12 7
```
---
```
Certificates Longest streak
Tom 8 13
Kris 2 11
Ahmad 5 9
Beau 6 7
```
## --video-solution--
2
</section>

83
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View File

@ -5,56 +5,55 @@ challengeType: 11
videoId: _sSo2XZoB3E
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
````yml
question:
text: |
What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
```
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
```
```
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
```
## --answers--
answers:
- |
```py
certificates_earned['Certificates'] /
certificates_earned['Time (in months)']
```
- |
```py
certificates_earned['Certificates per month'] = round(
certificates_earned['Certificates'] /
certificates_earned['Time (in months)']
)
```
- |
```py
certificates_earned['Certificates per month'] = round(
certificates_earned['Certificates'] /
certificates_earned['Time (in months)'], 2
)
```
solution: 3
````
```py
certificates_earned['Certificates'] /
certificates_earned['Time (in months)']
```
---
```py
certificates_earned['Certificates per month'] = round(
certificates_earned['Certificates'] /
certificates_earned['Time (in months)']
)
```
---
```py
certificates_earned['Certificates per month'] = round(
certificates_earned['Certificates'] /
certificates_earned['Time (in months)'], 2
)
```
## --video-solution--
3
</section>

89
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View File

@ -5,62 +5,61 @@ challengeType: 11
videoId: 7SgFBYXaiH0
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
```py
import pandas as pd
certificates_earned = pd.DataFrame({
'Certificates': [8, 2, 5, 6],
'Time (in months)': [16, 5, 9, 12]
})
certificates_earned = pd.DataFrame({
'Certificates': [8, 2, 5, 6],
'Time (in months)': [16, 5, 9, 12]
})
certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
print(certificates_earned.iloc[2])
```
print(certificates_earned.iloc[2])
```
## --answers--
answers:
- |
```
Tom 16
Kris 5
Ahmad 9
Beau 12
Name: Time (in months), dtype: int64
```
- |
```
Certificates 6
Time (in months) 12
Name: Beau, dtype: int64
```
- |
```
Certificates 5
Time (in months) 9
Name: Ahmad, dtype: int64
```
solution: 3
````
```
Tom 16
Kris 5
Ahmad 9
Beau 12
Name: Time (in months), dtype: int64
```
---
```
Certificates 6
Time (in months) 12
Name: Beau, dtype: int64
```
---
```
Certificates 5
Time (in months) 9
Name: Ahmad, dtype: int64
```
## --video-solution--
3
</section>

91
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View File

@ -2,64 +2,63 @@
id: 5e9a093a74c4063ca6f7c159
title: Pandas Indexing and Conditional Selection
challengeType: 11
videoId: -ZOrgV_aA9A
videoId: '-ZOrgV_aA9A'
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
```py
import pandas as pd
certificates_earned = pd.Series(
[8, 2, 5, 6],
index=['Tom', 'Kris', 'Ahmad', 'Beau']
)
certificates_earned = pd.Series(
[8, 2, 5, 6],
index=['Tom', 'Kris', 'Ahmad', 'Beau']
)
print(certificates_earned[certificates_earned > 5])
```
print(certificates_earned[certificates_earned > 5])
```
## --answers--
answers:
- |
```
Tom True
Kris False
Ahmad False
Beau True
dtype: int64
```
- |
```
Tom 8
Ahmad 5
Beau 6
dtype: int64
```
- |
```
Tom 8
Beau 6
dtype: int64
```
solution: 3
````
```
Tom True
Kris False
Ahmad False
Beau True
dtype: int64
```
---
```
Tom 8
Ahmad 5
Beau 6
dtype: int64
```
---
```
Tom 8
Beau 6
dtype: int64
```
## --video-solution--
3
</section>

95
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View File

@ -5,64 +5,63 @@ challengeType: 11
videoId: 0xACW-8cZU0
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What will the following code print out?
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
```py
import pandas as pd
certificates_earned = pd.Series(
[8, 2, 5, 6],
index=['Tom', 'Kris', 'Ahmad', 'Beau']
)
certificates_earned = pd.Series(
[8, 2, 5, 6],
index=['Tom', 'Kris', 'Ahmad', 'Beau']
)
print(certificates_earned)
```
print(certificates_earned)
```
## --answers--
answers:
- |
```
Tom 8
Kris 2
Ahmad 5
Beau 6
dtype: int64
```
- |
```
Kris 2
Ahmad 5
Beau 6
Tom 8
dtype: int64
```
- |
```
Tom 8
Kris 2
Ahmad 5
Beau 6
Name: certificates_earned dtype: int64
```
solution: 1
````
```
Tom 8
Kris 2
Ahmad 5
Beau 6
dtype: int64
```
---
```
Kris 2
Ahmad 5
Beau 6
Tom 8
dtype: int64
```
---
```
Tom 8
Kris 2
Ahmad 5
Beau 6
Name: certificates_earned dtype: int64
```
## --video-solution--
1
</section>

50
curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/parsing-html-and-saving-data.md
View File

@ -5,36 +5,38 @@ challengeType: 11
videoId: bJaqnTWQmb0
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What Python library has the `.read_html()` method we can we use for parsing HTML documents and extracting tables?
```yml
question:
text: |
What Python library has the `.read_html()` method we can we use for parsing HTML documents and extracting tables?
answers:
- |
BeautifierSoupy
- |
WebReader
- |
HTTP-master
- |
Pandas
solution: 4
```
## --answers--
BeautifierSoupy
---
WebReader
---
HTTP-master
---
Pandas
## --video-solution--
4
</section>

44
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View File

@ -5,34 +5,34 @@ challengeType: 11
videoId: NzpU17ZVlUw
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What is the main difference between lists and tuples in Python?
```yml
question:
text: |
What is the main difference between lists and tuples in Python?
answers:
- |
Tuples are immutable.
- |
Lists are ordered.
- |
Tuples are unordered.
solution: 1
```
## --answers--
Tuples are immutable.
---
Lists are ordered.
---
Tuples are unordered.
## --video-solution--
1
</section>

50
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View File

@ -5,36 +5,38 @@ challengeType: 11
videoId: PrQV9JkLhb4
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
How do we define blocks of code in the body of functions in Python?
```yml
question:
text: |
How do we define blocks of code in the body of functions in Python?
answers:
- |
We use a set of curly braces, one on either side of each new block of our code.
- |
We use indentation, usually right-aligned 4 spaces.
- |
We do not denote blocks of code.
- |
We could use curly braces or indentation to denote blocks of code.
solution: 2
```
## --answers--
We use a set of curly braces, one on either side of each new block of our code.
---
We use indentation, usually right-aligned 4 spaces.
---
We do not denote blocks of code.
---
We could use curly braces or indentation to denote blocks of code.
## --video-solution--
2
</section>

76
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@ -5,49 +5,51 @@ challengeType: 11
videoId: XzosGWLafrY
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-python-under-10-minutes" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
How would you iterate over and print the keys and values of a dictionary named `user`?
````yml
question:
text: |
How would you iterate over and print the keys and values of a dictionary named `user`?
answers:
- |
```python
for key in user.items():
print(key)
```
- |
```python
for key, value in user.all():
print(key, value)
print(value)
```
- |
```python
for key, value in user.items():
print(key, value)
```
- |
```python
for key, value in user
print(key, value)
```
solution: 3
````
## --answers--
```python
for key in user.items():
print(key)
```
---
```python
for key, value in user.all():
print(key, value)
print(value)
```
---
```python
for key, value in user.items():
print(key, value)
```
---
```python
for key, value in user
print(key, value)
```
## --video-solution--
3
</section>

74
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View File

@ -5,48 +5,50 @@ challengeType: 11
videoId: ViGEv0zOzUk
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
How would you import the CSV file `data.csv` and store it in a DataFrame using the Pandas module?
````yml
question:
text: |
How would you import the CSV file `data.csv` and store it in a DataFrame using the Pandas module?
answers:
- |
```python
import pandas as pd
df = pd.csv("data.csv")
```
- |
```python
import pandas as pd
df = pd.read_csv("data.csv")
```
- |
```python
import pandas as pd
pd.read_csv("data.csv")
```
- |
```python
import pandas as pd
df = pd.csv_reader("data.csv")
```
solution: 2
````
## --answers--
```python
import pandas as pd
df = pd.csv("data.csv")
```
---
```python
import pandas as pd
df = pd.read_csv("data.csv")
```
---
```python
import pandas as pd
pd.read_csv("data.csv")
```
---
```python
import pandas as pd
df = pd.csv_reader("data.csv")
```
## --video-solution--
2
</section>

44
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View File

@ -5,34 +5,34 @@ challengeType: 11
videoId: MtgXS1MofRw
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
What method does a `Cursor` instance have and what does it allow?
```yml
question:
text: |
What method does a `Cursor` instance have and what does it allow?
answers:
- |
The `Cursor` instance has a `.run()` method which allows you to run SQL queries.
- |
The `Cursor` instance has a `.select()` method which allows you to select records.
- |
The `Cursor` instance has an `.execute()` method which will receive SQL parameters to run against the database.
solution: 3
```
## --answers--
The `Cursor` instance has a `.run()` method which allows you to run SQL queries.
---
The `Cursor` instance has a `.select()` method which allows you to select records.
---
The `Cursor` instance has an `.execute()` method which will receive SQL parameters to run against the database.
## --video-solution--
3
</section>

89
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View File

@ -5,68 +5,67 @@ challengeType: 11
videoId: cDnt02BcHng
---
## Description
# --description--
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-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)
</section>
# --question--
## Tests
## --text--
<section id='tests'>
Given a file named `certificates.csv` with these contents:
````yml
question:
text: |
Given a file named `certificates.csv` with these contents:
```
Name$Certificates$Time (in months)
Tom$8$16
Kris$2$5
Ahmad$5$9
Beau$6$12
```
```
Name$Certificates$Time (in months)
Tom$8$16
Kris$2$5
Ahmad$5$9
Beau$6$12
```
Fill in the blanks for the missing arguments below:
Fill in the blanks for the missing arguments below:
```py
import csv
```py
import csv
with open(__A__, 'r') as fp:
reader = csv.reader(fp, delimiter=__B__)
next(reader)
for index, values in enumerate(reader):
name, certs_num, months_num = values
print(f"{name} earned {__C__} certificates in {months_num} months")
```
with open(__A__, 'r') as fp:
reader = csv.reader(fp, delimiter=__B__)
next(reader)
for index, values in enumerate(reader):
name, certs_num, months_num = values
print(f"{name} earned {__C__} certificates in {months_num} months")
```
## --answers--
answers:
- |
A: `'certificates.csv'`
A: `'certificates.csv'`
B: `'-'`
B: `'-'`
C: `values`
- |
A: `'certificates.csv'`
C: `values`
B: `'$'`
---
C: `certs_num`
- |
A: `'certificates'`
A: `'certificates.csv'`
B: `'$'`
B: `'$'`
C: `certs_num`
solution: 2
````
C: `certs_num`
---
A: `'certificates'`
B: `'$'`
C: `certs_num`
## --video-solution--
2
</section>