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Update page 'Day 1 Homework - Karen'

Karenzz
2023-03-30 22:57:11 +02:00
parent daadb1e077
commit c4914f2f37
1 changed files with 16 additions and 4 deletions
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Day 1 Homework - Karen.md
+16 -4
@@ -83,7 +83,7 @@ print(sys.getsizeof(z))
```
![Emoji](https://github.com/Karenzky/PythonBootcamp/blob/cb586168d33823d79c54380925eaae2901c2c4c2/emoji.png)
**Given this sample CSV file (tomato_sales.csv):
**8. Given this sample CSV file (tomato_sales.csv):**
```
Store,Region,Tomato_Sales
Store1,East,300
@@ -92,7 +92,7 @@ Store3,North,500
Store4,South,350
Store5,East,400
```
and this Python file to do a simple accounting function:**
**and this Python file to do a simple accounting function:**
```
def read_tomato_sales(file_name):
data = pd.read_csv(file_name)
@@ -102,9 +102,21 @@ def read_tomato_sales(file_name):
read_tomato_sales("tomato_sales_error.csv")
```
**describe a hypothetical situation where modifying the CSV file to create a type confusion error could cause nuclear war due to AIs taking over the food supply chain.**
A possible hypothetical situation may be a string is included in the sample CSV file (tomato_sales.csv). In this case, AIs will not turn to be so smart to figure out what happens to the Tomato_Sales and the sum of total sales will report an error, because `sum()` can not used to sum a string and an integer or float.
**8. Prevent that nuclear war by modifying `read_tomato_sales` to perform better data validation.**
**9. Prevent that nuclear war by modifying `read_tomato_sales` to perform better data validation.**
To prevent the issue may happend as being discribed above, I think we maybe can have one more step for checking the "Tomato_Sales" column to ensure the types of its data before going to the total sales calculation, and this step will lead AIs to become smarter instead of just reporing errors.
```ruby
def read_tomato_sales(file_name):
data = pd.read_csv(file_name)
if not pd.api.types.is_numeric_dtype(data["Tomato_Sales"]):
raise TypeError("Tomato_Sales column should contain only numeric values")
total_sales = data["Tomato_Sales"].sum()
print(f"Total tomato sales: {total_sales}")
**9. Given today's conversation about character encodings, describe why you would want to use bytes instead of strings when processing data containing multiple human languages at the same time. Write a small Python function to demonstrate this.**
read_tomato_sales("tomato_sales_error.csv")
```
**10. Given today's conversation about character encodings, describe why you would want to use bytes instead of strings when processing data containing multiple human languages at the same time. Write a small Python function to demonstrate this.**