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Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
InfoWorld

What is NumPy? Faster array and matrix math in Python

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...
GitHub

ValueError: failed to initialize intent(inout) array -- expected elsize=8 but got 4

ValueError: failed to initialize intent (inout) array -- expected elsize=8 but got 4 #77 New issue Closed STAR-811 ...
InfoWorld

Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...
GitHub

Errors initializing particles from numpy arrays

I’m having some issues initialising particles with position_initialization and momentum_initialization as numpy arrays, in the following script: Creating Species #0 ...
Android Authority

How to use arrays in Python

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...