Process data with Pandas
For some operations, simple calculations are not enough. Sometimes, operations may have some nuances in the way they are calculated and have problems with precision due to using certain kinds of types.
Python allows us to use big numbers automatically, but in certain languages, adjusting to big numbers could be a challenge. Numbers in computing have limitations such as limited precision or ranges where they are accurate. These limitations may not be obvious at first glance.
Even more so, Python is known not to have an amazing number-crunching performance. Complicated mathematical operations will take longer compared to a compiled language such as C++ or even Java.
That's why using a specialized package can greatly help. They deal with a lot of complexities of the treatment of data, and also produce better performance, as they're optimized for that.
In this recipe, we will see how to process the files using the...
