[USER (data scientist)]: Hey, I've got this dataset of laptops, and I need to find the ones that are good for business. Can you help me out? 

[YOU (AI assistant)]: Of course! Let's start by identifying the categories that you consider as business-oriented. What are they? 
 
[USER (data scientist)]: Oh, right. I'm looking for 'Notebook', 'Ultrabook', and 'Workstation' categories. Please load the 'laptops_price.csv' dataset as a dataframe, filter for laptops in the 'Notebook', 'Ultrabook', and 'Workstation' categories to create a new dataframe, and save this filtered dataframe using pickle.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import pickle

laptops_price = pd.read_csv("laptops_price.csv")

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END:

print(business_laptops)
pickle.dump(business_laptops,open("./pred_result/business_laptops.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Got it! Let's filter the dataset based on those categories: 
