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chore: bring in korean translations (#53620)
This commit is contained in:
Mama Naomi
@@ -0,0 +1,47 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14d
|
||||
title: Data Analysis Example A
|
||||
challengeType: 11
|
||||
videoId: nVAaxZ34khk
|
||||
bilibiliIds:
|
||||
aid: 590571151
|
||||
bvid: BV1sq4y1f7gr
|
||||
cid: 409002372
|
||||
dashedName: data-analysis-example-a
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What does the shape of our dataframe tell us?
|
||||
|
||||
## --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.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14e
|
||||
title: Data Analysis Example B
|
||||
challengeType: 11
|
||||
videoId: 0kJz0q0pvgQ
|
||||
bilibiliIds:
|
||||
aid: 505593432
|
||||
bvid: BV1kg411c7M6
|
||||
cid: 409003530
|
||||
dashedName: data-analysis-example-b
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What does the `loc` method allow you to do?
|
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|
||||
## --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 `n` rows based on the integer argument supplied.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,47 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c160
|
||||
title: Data Cleaning and Visualizations
|
||||
challengeType: 11
|
||||
videoId: mHjxzFS5_Z0
|
||||
bilibiliIds:
|
||||
aid: 933107558
|
||||
bvid: BV1KM4y137Ny
|
||||
cid: 409019632
|
||||
dashedName: data-cleaning-and-visualizations
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
When using Matplotlib's global API, what does the order of numbers mean here?
|
||||
|
||||
```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.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15f
|
||||
title: Data Cleaning Duplicates
|
||||
challengeType: 11
|
||||
videoId: kj7QqjXhH6A
|
||||
bilibiliIds:
|
||||
aid: 675611672
|
||||
bvid: BV1VU4y1A7tu
|
||||
cid: 409019368
|
||||
dashedName: data-cleaning-duplicates
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
|
||||
|
||||
## --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.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
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|
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@@ -0,0 +1,62 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15d
|
||||
title: Data Cleaning Introduction
|
||||
challengeType: 11
|
||||
videoId: ovYNhnltVxY
|
||||
bilibiliIds:
|
||||
aid: 250574398
|
||||
bvid: BV1Pv411A7GN
|
||||
cid: 409018611
|
||||
dashedName: data-cleaning-introduction
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
import pandas as pd
|
||||
import numpy as np
|
||||
|
||||
s = pd.Series(['a', 3, np.nan, 1, np.nan])
|
||||
|
||||
print(s.notnull().sum())
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
3
|
||||
|
||||
---
|
||||
|
||||
<pre>0 True
|
||||
1 True
|
||||
2 False
|
||||
3 True
|
||||
4 False
|
||||
dtype: bool</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>0 False
|
||||
1 False
|
||||
2 True
|
||||
3 False
|
||||
4 True
|
||||
dtype: bool</pre>
|
||||
|
||||
## --video-solution--
|
||||
|
||||
1
|
||||
|
||||
@@ -0,0 +1,74 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15e
|
||||
title: Data Cleaning with DataFrames
|
||||
challengeType: 11
|
||||
videoId: sTMN_pdI6S0
|
||||
bilibiliIds:
|
||||
aid: 505597026
|
||||
bvid: BV1Yg411c7bx
|
||||
cid: 409018948
|
||||
dashedName: data-cleaning-with-dataframes
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
import pandas as pd
|
||||
import numpy as np
|
||||
|
||||
s = pd.Series([np.nan, 1, 2, np.nan, 3])
|
||||
s = s.fillna(method='ffill')
|
||||
|
||||
print(s)
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
<pre>
|
||||
0 1.0
|
||||
1 1.0
|
||||
2 2.0
|
||||
3 3.0
|
||||
4 3.0
|
||||
dtype: float64
|
||||
</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
0 NaN
|
||||
1 1.0
|
||||
2 2.0
|
||||
3 2.0
|
||||
4 3.0
|
||||
dtype: float64
|
||||
</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
0 NaN
|
||||
1 1.0
|
||||
2 2.0
|
||||
3 NaN
|
||||
4 3.0
|
||||
dtype: float64
|
||||
</pre>
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14f
|
||||
title: How to use Jupyter Notebooks Intro
|
||||
challengeType: 11
|
||||
videoId: h8caJq2Bb9w
|
||||
bilibiliIds:
|
||||
aid: 293035919
|
||||
bvid: BV1Hf4y1n7qr
|
||||
cid: 409002965
|
||||
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.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/ine-rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What is **not** allowed in a Jupyter Notebook's cell?
|
||||
|
||||
## --answers--
|
||||
|
||||
Markdown
|
||||
|
||||
---
|
||||
|
||||
Python code
|
||||
|
||||
---
|
||||
|
||||
An Excel sheet
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,44 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c14c
|
||||
title: Introduction to Data Analysis
|
||||
challengeType: 11
|
||||
videoId: VJrP2FUzKP0
|
||||
bilibiliIds:
|
||||
aid: 378034466
|
||||
bvid: BV19f4y1c7nu
|
||||
cid: 409001487
|
||||
dashedName: introduction-to-data-analysis
|
||||
---
|
||||
|
||||
# --description--
|
||||
Data analysis is the act of turning raw, messy data into useful insights by cleaning the data up, transforming it, manipulating it, and inspecting it.
|
||||
|
||||
More resources:
|
||||
|
||||
\- <a href="https://www.freecodecamp.org/news/what-is-data-analysis/" rel="noopener noreferrer nofollow">News article</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
Which of the following is **not** part of Data Analysis?
|
||||
|
||||
## --answers--
|
||||
|
||||
Building statistical models and data visualizations.
|
||||
|
||||
---
|
||||
|
||||
Picking a desired conclusion for the analysis.
|
||||
|
||||
---
|
||||
|
||||
Fixing incorrect values and removing invalid data.
|
||||
|
||||
---
|
||||
|
||||
Transforming data into an appropriate data structure.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
@@ -0,0 +1,42 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c150
|
||||
title: Jupyter Notebooks Cells
|
||||
challengeType: 11
|
||||
videoId: 5PPegAs9aLA
|
||||
bilibiliIds:
|
||||
aid: 420510493
|
||||
bvid: BV19341117Hq
|
||||
cid: 409003280
|
||||
dashedName: jupyter-notebooks-cells
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What are the three main types of Jupyter Notebook Cell?
|
||||
|
||||
## --answers--
|
||||
|
||||
Code, Markdown, and Python
|
||||
|
||||
---
|
||||
|
||||
Code, Markdown, and Raw
|
||||
|
||||
---
|
||||
|
||||
Markdown, Python, and Raw
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
@@ -0,0 +1,51 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c151
|
||||
title: Jupyter Notebooks Importing and Exporting Data
|
||||
challengeType: 11
|
||||
videoId: k1msxD3JIxE
|
||||
bilibiliIds:
|
||||
aid: 975540688
|
||||
bvid: BV1n44y1b7Gi
|
||||
cid: 409006337
|
||||
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.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/rmotr-curriculum/ds-content-interactive-jupyterlab-tutorial" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What kind of data can you import and work with in a Jupyter Notebook?
|
||||
|
||||
## --answers--
|
||||
|
||||
Excel files.
|
||||
|
||||
---
|
||||
|
||||
CSV files.
|
||||
|
||||
---
|
||||
|
||||
XML files.
|
||||
|
||||
---
|
||||
|
||||
Data from an API.
|
||||
|
||||
---
|
||||
|
||||
All of the above.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
5
|
||||
|
||||
@@ -0,0 +1,47 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c157
|
||||
title: Numpy Algebra and Size
|
||||
challengeType: 11
|
||||
videoId: XAT97YLOKD8
|
||||
bilibiliIds:
|
||||
aid: 250621433
|
||||
bvid: BV1hv41137uM
|
||||
cid: 409013128
|
||||
dashedName: numpy-algebra-and-size
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --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--
|
||||
|
||||
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
|
||||
|
||||
@@ -0,0 +1,63 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c154
|
||||
title: Numpy Arrays
|
||||
challengeType: 11
|
||||
videoId: VDYVFHBL1AM
|
||||
bilibiliIds:
|
||||
aid: 890607366
|
||||
bvid: BV1zP4y1h7FR
|
||||
cid: 409011400
|
||||
dashedName: numpy-arrays
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
A = np.array([
|
||||
['a', 'b', 'c'],
|
||||
['d', 'e', 'f'],
|
||||
['g', 'h', 'i']
|
||||
])
|
||||
|
||||
print(A[:, :2])
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
```py
|
||||
[['a' 'b']]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```py
|
||||
[['b' 'c']
|
||||
['e' 'f']
|
||||
['h' 'i']]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```py
|
||||
[['a' 'b']
|
||||
['d' 'e']
|
||||
['g' 'h']]
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,61 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c156
|
||||
title: Numpy Boolean Arrays
|
||||
challengeType: 11
|
||||
videoId: N1ttsMmcVMM
|
||||
bilibiliIds:
|
||||
aid: 208091324
|
||||
bvid: BV1Qh411p7V8
|
||||
cid: 409012711
|
||||
dashedName: numpy-boolean-arrays
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
a = np.arange(5)
|
||||
|
||||
print(a <= 3)
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
```python
|
||||
[False, False, False, False, True]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```python
|
||||
[5]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```python
|
||||
[0, 1, 2, 3]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```python
|
||||
[True, True, True, True, False]
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
4
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c152
|
||||
title: Numpy Introduction A
|
||||
challengeType: 11
|
||||
videoId: P-JjV6GBCmk
|
||||
bilibiliIds:
|
||||
aid: 718079611
|
||||
bvid: BV18Q4y1k7om
|
||||
cid: 409007080
|
||||
dashedName: numpy-introduction-a
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
Why is Numpy an important, but unpopular Python library?
|
||||
|
||||
## --answers--
|
||||
|
||||
Often you won't work directly with Numpy.
|
||||
|
||||
---
|
||||
|
||||
It is extremely slow.
|
||||
|
||||
---
|
||||
|
||||
Working with Numpy is difficult.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
1
|
||||
|
||||
@@ -0,0 +1,47 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c153
|
||||
title: Numpy Introduction B
|
||||
challengeType: 11
|
||||
videoId: YIqgrNLAZkA
|
||||
bilibiliIds:
|
||||
aid: 250503382
|
||||
bvid: BV1kv411w7vB
|
||||
cid: 409010193
|
||||
dashedName: numpy-introduction-b
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
About how much memory does the integer `5` consume in plain Python?
|
||||
|
||||
## --answers--
|
||||
|
||||
32 bits
|
||||
|
||||
---
|
||||
|
||||
20 bytes
|
||||
|
||||
---
|
||||
|
||||
16 bytes
|
||||
|
||||
---
|
||||
|
||||
8 bits
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,54 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c155
|
||||
title: Numpy Operations
|
||||
challengeType: 11
|
||||
videoId: eqSVcJbaPdk
|
||||
bilibiliIds:
|
||||
aid: 378057123
|
||||
bvid: BV13f4y1w7od
|
||||
cid: 409012507
|
||||
dashedName: numpy-operations
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What is the value of `a` after you run the following code?
|
||||
|
||||
```py
|
||||
a = np.arange(5)
|
||||
a + 20
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
```python
|
||||
[20, 21, 22, 24, 24]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```python
|
||||
[0, 1, 2, 3, 4]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```python
|
||||
[25, 26, 27, 28, 29]
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,77 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15b
|
||||
title: Pandas Conditional Selection and Modifying DataFrames
|
||||
challengeType: 11
|
||||
videoId: BFlH0fN5xRQ
|
||||
bilibiliIds:
|
||||
aid: 505598518
|
||||
bvid: BV1vg411c72y
|
||||
cid: 409113534
|
||||
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.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```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.index = names
|
||||
longest_streak = pd.Series([13, 11, 9, 7], index=names)
|
||||
certificates_earned['Longest streak'] = longest_streak
|
||||
|
||||
print(certificates_earned)
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
<pre>
|
||||
Tom 13
|
||||
Kris 11
|
||||
Ahmad 9
|
||||
Beau 7
|
||||
Name: Longest streak, dtype: int64
|
||||
</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>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
Certificates Longest streak
|
||||
Tom 8 13
|
||||
Kris 2 11
|
||||
Ahmad 5 9
|
||||
Beau 6 7
|
||||
</pre>
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,62 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15c
|
||||
title: Pandas Creating Columns
|
||||
challengeType: 11
|
||||
videoId: _sSo2XZoB3E
|
||||
bilibiliIds:
|
||||
aid: 975568901
|
||||
bvid: BV1b44y1b7Cg
|
||||
cid: 409018052
|
||||
dashedName: pandas-creating-columns
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
|
||||
|
||||
<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>
|
||||
|
||||
## --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
|
||||
)
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,70 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c15a
|
||||
title: Pandas DataFrames
|
||||
challengeType: 11
|
||||
videoId: 7SgFBYXaiH0
|
||||
bilibiliIds:
|
||||
aid: 890503235
|
||||
bvid: BV1TP4y1h7qq
|
||||
cid: 409014039
|
||||
dashedName: pandas-dataframes
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
import pandas as pd
|
||||
|
||||
certificates_earned = pd.DataFrame({
|
||||
'Certificates': [8, 2, 5, 6],
|
||||
'Time (in months)': [16, 5, 9, 12]
|
||||
})
|
||||
|
||||
certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
|
||||
|
||||
print(certificates_earned.iloc[2])
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
<pre>
|
||||
Tom 16
|
||||
Kris 5
|
||||
Ahmad 9
|
||||
Beau 12
|
||||
Name: Time (in months), dtype: int64
|
||||
</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
Certificates 6
|
||||
Time (in months) 12
|
||||
Name: Beau, dtype: int64
|
||||
</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
Certificates 5
|
||||
Time (in months) 9
|
||||
Name: Ahmad, dtype: int64
|
||||
</pre>
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,69 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c159
|
||||
title: Pandas Indexing and Conditional Selection
|
||||
challengeType: 11
|
||||
videoId: '-ZOrgV_aA9A'
|
||||
bilibiliIds:
|
||||
aid: 720604139
|
||||
bvid: BV1FQ4y1k7tC
|
||||
cid: 409013650
|
||||
dashedName: pandas-indexing-and-conditional-selection
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
import pandas as pd
|
||||
|
||||
certificates_earned = pd.Series(
|
||||
[8, 2, 5, 6],
|
||||
index=['Tom', 'Kris', 'Ahmad', 'Beau']
|
||||
)
|
||||
|
||||
print(certificates_earned[certificates_earned > 5])
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
<pre>
|
||||
Tom True
|
||||
Kris False
|
||||
Ahmad False
|
||||
Beau True
|
||||
dtype: int64
|
||||
</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
Tom 8
|
||||
Ahmad 5
|
||||
Beau 6
|
||||
dtype: int64
|
||||
</pre>
|
||||
|
||||
---
|
||||
|
||||
<pre>
|
||||
Tom 8
|
||||
Beau 6
|
||||
dtype: int64
|
||||
</pre>
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,72 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c158
|
||||
title: Pandas Introduction
|
||||
challengeType: 11
|
||||
videoId: 0xACW-8cZU0
|
||||
bilibiliIds:
|
||||
aid: 975510116
|
||||
bvid: BV1u44y1b7fD
|
||||
cid: 409013433
|
||||
dashedName: pandas-introduction
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What will the following code print out?
|
||||
|
||||
```py
|
||||
import pandas as pd
|
||||
|
||||
certificates_earned = pd.Series(
|
||||
[8, 2, 5, 6],
|
||||
index=['Tom', 'Kris', 'Ahmad', 'Beau']
|
||||
)
|
||||
|
||||
print(certificates_earned)
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
```markup
|
||||
Tom 8
|
||||
Kris 2
|
||||
Ahmad 5
|
||||
Beau 6
|
||||
dtype: int64
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```markup
|
||||
Kris 2
|
||||
Ahmad 5
|
||||
Beau 6
|
||||
Tom 8
|
||||
dtype: int64
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
```markup
|
||||
Tom 8
|
||||
Kris 2
|
||||
Ahmad 5
|
||||
Beau 6
|
||||
Name: certificates_earned dtype: int64
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
1
|
||||
|
||||
@@ -0,0 +1,47 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c164
|
||||
title: Parsing HTML and Saving Data
|
||||
challengeType: 11
|
||||
videoId: bJaqnTWQmb0
|
||||
bilibiliIds:
|
||||
aid: 335522976
|
||||
bvid: BV1RA411F7vi
|
||||
cid: 409023170
|
||||
dashedName: parsing-html-and-saving-data
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/krishnatray/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What Python library has the `.read_html()` method we can use for parsing HTML documents and extracting tables?
|
||||
|
||||
## --answers--
|
||||
|
||||
BeautifierSoupy
|
||||
|
||||
---
|
||||
|
||||
WebReader
|
||||
|
||||
---
|
||||
|
||||
HTTP-master
|
||||
|
||||
---
|
||||
|
||||
Pandas
|
||||
|
||||
## --video-solution--
|
||||
|
||||
4
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c166
|
||||
title: Python Functions and Collections
|
||||
challengeType: 11
|
||||
videoId: NzpU17ZVlUw
|
||||
bilibiliIds:
|
||||
aid: 675544435
|
||||
bvid: BV1pU4y1N7JC
|
||||
cid: 409023833
|
||||
dashedName: python-functions-and-collections
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
What is the main difference between lists and tuples in Python?
|
||||
|
||||
## --answers--
|
||||
|
||||
Tuples are immutable.
|
||||
|
||||
---
|
||||
|
||||
Lists are ordered.
|
||||
|
||||
---
|
||||
|
||||
Tuples are unordered.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
1
|
||||
|
||||
@@ -0,0 +1,47 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c165
|
||||
title: Python Introduction
|
||||
challengeType: 11
|
||||
videoId: PrQV9JkLhb4
|
||||
bilibiliIds:
|
||||
aid: 805597530
|
||||
bvid: BV1634y1S7gD
|
||||
cid: 409023550
|
||||
dashedName: python-introduction
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --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.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,60 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c167
|
||||
title: Python Iteration and Modules
|
||||
challengeType: 11
|
||||
videoId: XzosGWLafrY
|
||||
bilibiliIds:
|
||||
aid: 633068913
|
||||
bvid: BV1db4y127M4
|
||||
cid: 409024056
|
||||
dashedName: python-iteration-and-modules
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*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 nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --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)
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,59 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c162
|
||||
title: Reading Data CSV and TXT
|
||||
challengeType: 11
|
||||
videoId: ViGEv0zOzUk
|
||||
bilibiliIds:
|
||||
aid: 505575354
|
||||
bvid: BV1tg411c7GH
|
||||
cid: 409020451
|
||||
dashedName: reading-data-csv-and-txt
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/krishnatray/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --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")
|
||||
```
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c163
|
||||
title: Reading Data from Databases
|
||||
challengeType: 11
|
||||
videoId: MtgXS1MofRw
|
||||
bilibiliIds:
|
||||
aid: 890546354
|
||||
bvid: BV1JP4y1h7gk
|
||||
cid: 409020851
|
||||
dashedName: reading-data-from-databases
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/krishnatray/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --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.
|
||||
|
||||
## --video-solution--
|
||||
|
||||
3
|
||||
|
||||
@@ -0,0 +1,76 @@
|
||||
---
|
||||
id: 5e9a093a74c4063ca6f7c161
|
||||
title: Reading Data Introduction
|
||||
challengeType: 11
|
||||
videoId: cDnt02BcHng
|
||||
bilibiliIds:
|
||||
aid: 548023524
|
||||
bvid: BV1Nq4y1K7iV
|
||||
cid: 409020187
|
||||
dashedName: reading-data-introduction
|
||||
---
|
||||
|
||||
# --description--
|
||||
|
||||
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
|
||||
|
||||
More resources:
|
||||
|
||||
- <a href="https://github.com/krishnatray/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
|
||||
|
||||
# --question--
|
||||
|
||||
## --text--
|
||||
|
||||
Given a file named `certificates.csv` with these contents:
|
||||
|
||||
<pre>
|
||||
Name$Certificates$Time (in months)
|
||||
Tom$8$16
|
||||
Kris$2$5
|
||||
Ahmad$5$9
|
||||
Beau$6$12
|
||||
</pre>
|
||||
|
||||
Fill in the blanks for the missing arguments below:
|
||||
|
||||
```py
|
||||
import csv
|
||||
|
||||
with open(__A__, 'r') as fp:
|
||||
reader = csv.reader(fp, delimiter=__B__)
|
||||
next(reader)
|
||||
for index, values in enumerate(reader):
|
||||
name, certs_num, months_num = values
|
||||
print(f"{name} earned {__C__} certificates in {months_num} months")
|
||||
```
|
||||
|
||||
## --answers--
|
||||
|
||||
A: `'certificates.csv'`
|
||||
|
||||
B: `'-'`
|
||||
|
||||
C: `values`
|
||||
|
||||
---
|
||||
|
||||
A: `'certificates.csv'`
|
||||
|
||||
B: `'$'`
|
||||
|
||||
C: `certs_num`
|
||||
|
||||
---
|
||||
|
||||
A: `'certificates'`
|
||||
|
||||
B: `'$'`
|
||||
|
||||
C: `certs_num`
|
||||
|
||||
## --video-solution--
|
||||
|
||||
2
|
||||
|
||||
Reference in New Issue
Block a user