Python matching values in 2 list of dictinaries - fastest solution

Question

I have 2 lists of dicts with products. The first list contains dicts with products info (some basic information + stocks) The second list contains dicts with products prices. I need to merge the dictinaries based on the 'product_code' field. My lists contains 200k+ products. Is there a way to make it faster?

merged_list_of_dicts = []
for price in prices:
    for stock in stocks:
        if price['product_code'] == stock['product_code']:
            dict_ = {}
            dict_['product_code'] = price['product_code']
            dict_['price'] = price['price']
            dict_['stock'] = stock['stock']
            all_together_list.append(dict_)
            break

return all_together_list

Answer 1

You can sort the lists in advance and if they match 1:1 you can iterate them together -

prices = sorted(prices, key = lambda x: x["product_code"])
stocks = sorted(stocks, key = lambda x: x["product_code"])
merged_list_of_dics = []
for p, s in zip(prices, stocks):
    dic = {}
    dic['product_code'] = price['product_code']
    dic['price'] = price['price']
    dic['stock'] = stock['stock']
    all_together_list.append(dic)

return all_together_list