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To manipulate arrays in Python with NumPy 🐍: 1. Initialization: Use np.array() to create arrays from Python lists. For special arrays, like ones or zeros, use np.ones(), np.zeros(). 2.
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.
How NumPy speeds array math in Python. A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.
xarray (pronounced "ex-array", formerly known as xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray ...
Miscellaneous short guides on using the command line, git, Python, etc. (from the perspective of an R-user) - tutorials/python_arrays_dataframes.md at master · isteves/tutorials ...