[USER (data scientist)]: Cool, now how about counting how many laptops we've got from each of these brands? Please generate a series (dataframe column) to visualize the distribution of laptop brands in the 'laptops_price' dataset, and store this series in a pickle file for future reference.
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(brand_counts)

# save data
pickle.dump(brand_counts,open("./pred_result/brand_counts.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! You can use the value_counts() function to count the number of laptops from each brand. Check this out: 
