Chapter 4. NumPy Core and Libs Submodules
After covering so many NumPy ufuncs in the previous chapter, I hope you still remember the very core of NumPy, which is the ndarray object. We are going to finish the last important attribute of ndarray: strides, which will give you the full picture of memory layout. Also, it's time to show you that NumPy arrays can deal not only with numbers but also with various types of data; we will talk about record arrays and date time arrays. Lastly, we will show how to read/write NumPy arrays from/to files, and start to do some real-world analysis using NumPy.
The topics that will be covered in this chapter are:
- The core of NumPy arrays: memory layout
- Structure arrays (record arrays)
- Date-time in NumPy arrays
- File I/O ...
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