NumPy's API is the starting point when libraries are written to exploit innovative hardware, create specialized array types, or add capabilities beyond what NumPy provides. Array Library Capabilities & Application areas
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$ conda install numpy=1.14 Solving environment: failed UnsatisfiableError: The following specifications were found to be in conflict: - blaze -> numba -> numpy[version='>=1.13,<1.14.0a0'] - numpy=1.14 Use "conda info <package>" to see the dependencies for each package. In this case blaze and numba prevent NumPy from upgrading.
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This should be fixed now. We built new macOS compilers and it seems numpy has been rebuilt with those. The build number was not bumped for numpy it seems though so conda reports this as a downgrade! Works on my computer at least! I tested from my local install and also updating anaconda 2020.02 via: conda install anaconda=custom conda update --all
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Hashes for numpy-1.19.2-cp36-cp36m-macosx_10_9_x86_64.whl; Algorithm Hash digest; SHA256: b594f76771bc7fc8a044c5ba303427ee67c17a09b36e1fa32bde82f5c419d17a
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conda install -c anaconda numpy Description. NumPy is the fundamental package needed for scientific computing with Python. Anaconda Cloud. Gallery About Documentation
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To install a package through conda, run the command conda install PACKAGENAME in the Terminal tab. This is recommended over using install.packages() as the package will be installed into the conda environment in a way that can be repeated when replicating the analysis - see Environment management section for more.