lemonade | simple flexible grid | Grid library

I have a simple program that scans a PDF and returns a specific section of text.

I am trying to extract set of keywords such as ['lemon', 'apple', 'coconut'] etc. from the paths such as "\var\prj\lemon_123\xyz", "\var\prj\123_apple\coconut", "\var\prj\lemonade\coconutapple", "\var\prj\apple\lemon"

The expected output is little complex:

keep in mind that the third row does not have the exact word which start with /, \s, \d or _ thats why there is no match. The regular expression is kind of like this: \s\d_/[\s\d_/]. I tried using:

df['Paths'].str.findall(r'[^\s\d_/]lemon|apple|coconut[\s\d_/$]', flags=re.IGNORECASE)

But it is still showing 'lemon' and 'coconut' in the third row.

Thank you in advance.

I have the following pandas dataframe that has thousands of rows:

I have Menu component. I'm adding items to Cart component by clicking on Add to Cart button.

I also have a Cart icon which holds array of items in Cart.

I don't understand why this example produces an array of undefined at the end. I know Array.map() is supposed to run the callback function for every element in the array.

I am trying to create a program to get the beverage type and size using Class and Function. After collecting the beverage(either lemonade or soda), I want to assign all values to an object and eventually add the object to a list. Finally, I want to show something like the below console:

The Beverage Program

Soda or a lemonade? Enter S, L or 0 for no drinks: S

What size would you like? Enter S, M or L: M

Would you like to create another drink? y/n? y

Soda or a lemonade? Enter S, L or 0 for no drinks: L

What size would you like? Enter S, M or L: L

Sweetened or Unsweetened? Enter S or U: U

Would you like to create another drink? y/n? y

Soda or a lemonade? Enter S, L or 0 for no drinks: L

What size would you like? Enter S, M or L: S

Sweetened or Unsweetened? Enter S or U: S

Would you like to create another drink? y/n? n

Drink 1: Soda

Size: Medium Price: $1.75

Drink 2: Lemonade

Size: Large Price: $2.00 Sugar: Unsweetened

Drink 3: Lemonade

Size: Small Price: $1.50 Sugar: Sweetened

You created 3 drink orders. Thanks for using this program!

I'm trying to follow this guide: https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html But I don't realize why I'm it's most of the time not writing data to the console, and why its spamming execution thread logging?
Do I need to configure something? This is my code:

Is there a smart way to shorten very long if-elif-elif-elif... statements?

Let's say I have a function like this:

So from a text file which has a content:

Lemonade juice whiskey beer soda vodka

In Python, by implementing that same .txt file, I would like to output word-pairs in the next order:

• juice-lemonade
• whiskey-juice
• beer-whiskey
• soda-beer
• vodka-soda

I managed outputing something like that by using list instead of opening file in Python, but in the case with some major .txt file, that is not really a handy solution. Also, the bonus task for this would be to output the probability for each of those pairs. Any kind of hint would be highly appreciated.