一、 Exchange rate data source


Before calculating exchange rates, we need to obtain the latest exchange rate data. At present, there are many exchange rate data providers both domestically and internationally, such as Sina Finance and Yahoo Finance. We can obtain exchange rate data by sending HTTP requests to these websites.


The following code demonstrates how to use Python to obtain exchange rate data from Sina Finance:

二、 Exchange rate calculation method

After obtaining the exchange rate data, we can use Python to calculate the exchange rate. Here are two methods for calculating exchange rates:

1. Direct calculation method

The direct calculation method is the simplest exchange rate calculation method. For example, we need to convert 100 US dollars into Chinese yuan, assuming an exchange rate of 6.5, we can use the following code to calculate:

2. Through currency conversion method


Another method of calculating exchange rates is through currency conversion. This method can be used for exchange between any currency. For example, if we need to convert US dollars into euros, assuming an exchange rate of 1.18, we can use the following code to calculate:

三、 Format exchange rate data


In the data processing process, we need to format the exchange rate data into the format we need. For example, we need to format the exchange rate data obtained from Sina Finance into 10 decimal places using the following code:

四、 Exchange rate data storage


If long-term storage of exchange rate data is required, a database can be used for storage. Here, using MySQL as an example, we will introduce how to store exchange rate data in a database:

Through the above code, we have stored the exchange rate data in a MySQL database.