Algorithms For Dummies

 

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Verify the data attributes. Data items have specific attributes, which is why 

Chapter 4 tells you all about how Python interprets various data types. 

Chapter 5 points out that this interpretation can change when using 

numpy

. 

In fact, you find that data attributes change between environments, and 

developers can change them even more by creating custom data types. To 

combine data from various sources, you must understand these attributes to 

ensure that you interpret the data correctly.

The  more  time  you  spend  verifying  the  compatibility  of  data  from  each  of  the 

sources you want to use for a dataset, the less likely you are to encounter problems 

when working with an algorithm. Data incompatibility issues don’t always appear 

as outright errors. In some cases, an incompatibility can cause other issues, such 

as errant results that look correct but provide misleading information.

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  PART 2