#WHAT IS SCIPY CODE#

Neither Numeric nor numarray is currently supported. Having two incompatible implementations of array was clearly a disaster in the making, so numpy was designed to be an improvement on both. The short version is that Numeric was the original package that provided efficient homogeneous numeric arrays for python, but some developers felt it lacked certain essential features, so they began developing an independent implementation called numarray. What's the story with Numeric, numarray, and numpy? This also means that very few list operations can be carried out by efficient C loops.

#WHAT IS SCIPY CODE#

However, they have certain limitations: they don't support 'vectorized' operations like elementwise addition and multiplication, and the fact that they can contain objects of differing types mean that python must store type information for every element, and must execute type dispatching code when operating on each element. They support (fairly) efficient insertion, deletion, appending, and concatenation, and python's list comprehensions make them easy to construct and manipulate. Python's lists are efficient general-purpose containers. Numpy arrays offer a number of other possibilities, including using a memory-mapped disk file as the storage space for an array, and 'record arrays', which have fields of different data types. This constraint makes it possible for all the inner loops to be written in efficient C code. numpy cannot use double-indirection to access array elements, so indexing modes that would require this must produce copies. This is an efficiency gain, obviously, but it also allows modification of selected elements of an array in various ways.ДЄn important constraint on numpy arrays is that for a given axis, all the elements must be spaced by the same number of bytes in memory. This is called 'striding', and it means that you can often create a new array referring to a subset of the elements in an array without copying any data. (For comparison, each python integer needs to have some type information stored alongside it.) You might also have the array of even numbers from zero to eight, stored in the same block of memory, but with a gap of four bytes between elements. So, for example, you might have a numpy array that represents the numbers from zero to nine, stored as 32-bit integers, one right after another, in a single block of memory. In memory, it is an object which points to a block of memory, keeps track of the type of data stored in that memory, keeps track of how many dimensions there are and how large each one is, and - importantly - the spacing between elements along each axis. Advantages many people cite are that it is open-source, it doesn't cost anything, it uses the general-purpose language python rather than a sui generis programming language, and it is relatively easy to connect existing C and FORTRAN code to the python interpreter.ДЄ numpy array is a multidimensional array of objects all of the same type. Why use numpy rather than IDL, MATLAB, Octave, or Yorick?ДЄs always, you should choose the programming tools that suit your problem and your environment. It allows python to serve as a high-level language for manipulating numerical data, much like IDL, MATLAB, or Yorick. Numpy is a python extension module to support efficient operation on arrays of homogeneous data.

Why doesn't the bdist_rpm command work with config_fc?.Why numpy headers are installed using add_data_dir and not add_headers?.Using non-GNU Fortran compiler with gcc/g77 compiled Atlas/Lapack libraries.LAPACK library provided by ATLAS is incomplete.

BLAS sources shipped with LAPACK are incomplete.

Why doesn't A]+=1 do what I think it should?.

I have a multiprocessor/multicore machine.

Does NumPy support nan ('not a number')?.

How do I find the indices of an array where some condition is true?.

Why not just have a separate operator for matrix multiplication?.

What's the difference between matrices and arrays?.

I want to save an array on disk for later use.

Can you help me make this code more efficient?

I want to load an array from a text file.

What is the preferred way to test if an array is empty?.

In what directions do you see SciPy expanding?.

How can SciPy be fast if it is written in an interpreted language like Python?.

What scientific libraries are available in SciPy?.

What's the story with Numeric, numarray, and numpy?.

Why use numpy rather than IDL, MATLAB, Octave, or Yorick?.

What is scipy