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CuPy is a GPU array backend that includes some of the most commonly used NumPy (and some SciPy) functions. Following plot illustrates CuPy acceleration on the creation, and creation plus inversion of symmetric arrays of different sizes: 
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Using only smtplib and getpass you can send your email from the terminal:
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Antipodes of a sphere are pairs of points separated by the diameter, i.e. for the Earth, you can reach the antipode of your location by drilling through the center all the way. Suppose you’re standing somewhere on land (about 30% of the Earth surface area) and you wanna know the probability for you to end up on land on the other side? Following script approximates this using maps generated through geopandas package. 
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The original repository for this webpage comes with an utility for creating interactive leaflet cluster map of talk locations. The script talkmap.py basically scraps talk location info from markdown files listed inside _talks/ and creates the map using geopy and getorg.
Published:
CuPy is a GPU array backend that includes some of the most commonly used NumPy (and some SciPy) functions. Following plot illustrates CuPy acceleration on the creation, and creation plus inversion of symmetric arrays of different sizes:
Published:
Just stumbled upon this powerful python package for audio analysis - librosa (see also McFee et al. 2015). Extracting waveforms and decomposing into harmonic/percussive components can all be done in single-liners, and it also substantially simplifies more complicated analyses like synchronization and Laplacian segmentation. Here is a quick decomposition of a sample Rammstein song from youtube:
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Antipodes of a sphere are pairs of points separated by the diameter, i.e. for the Earth, you can reach the antipode of your location by drilling through the center all the way. Suppose you’re standing somewhere on land (about 30% of the Earth surface area) and you wanna know the probability for you to end up on land on the other side? Following script approximates this using maps generated through geopandas package.
Published:
The original repository for this webpage comes with an utility for creating interactive leaflet cluster map of talk locations. The script talkmap.py basically scraps talk location info from markdown files listed inside _talks/ and creates the map using geopy and getorg.
Published:
CuPy is a GPU array backend that includes some of the most commonly used NumPy (and some SciPy) functions. Following plot illustrates CuPy acceleration on the creation, and creation plus inversion of symmetric arrays of different sizes:
Published:
Say you have a hole-less non intersecting “simple” type polygon with $n$ sides and you want to find its area. There are many ways to do this, typically dividing the polygon into shapes with small number of vertices. But the most elegant solution was proposed centuries ago and now known as the Shoelace method: \(\displaystyle \mathrm{Area}=\frac{1}{2}\Bigg|\Big(\sum_{i=1}^{n-1}x_iy_{i+1}+x_n y_1\Big) - \Big(\sum_{i=1}^{n-1}x_{i+1} y_i+x_1 y_n\Big)\Bigg|\)
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Just stumbled upon this powerful python package for audio analysis - librosa (see also McFee et al. 2015). Extracting waveforms and decomposing into harmonic/percussive components can all be done in single-liners, and it also substantially simplifies more complicated analyses like synchronization and Laplacian segmentation. Here is a quick decomposition of a sample Rammstein song from youtube:
Published:
Say you have a hole-less non intersecting “simple” type polygon with $n$ sides and you want to find its area. There are many ways to do this, typically dividing the polygon into shapes with small number of vertices. But the most elegant solution was proposed centuries ago and now known as the Shoelace method: \(\displaystyle \mathrm{Area}=\frac{1}{2}\Bigg|\Big(\sum_{i=1}^{n-1}x_iy_{i+1}+x_n y_1\Big) - \Big(\sum_{i=1}^{n-1}x_{i+1} y_i+x_1 y_n\Big)\Bigg|\)
Published:
Just stumbled upon this powerful python package for audio analysis - librosa (see also McFee et al. 2015). Extracting waveforms and decomposing into harmonic/percussive components can all be done in single-liners, and it also substantially simplifies more complicated analyses like synchronization and Laplacian segmentation. Here is a quick decomposition of a sample Rammstein song from youtube:
Published:
CuPy is a GPU array backend that includes some of the most commonly used NumPy (and some SciPy) functions. Following plot illustrates CuPy acceleration on the creation, and creation plus inversion of symmetric arrays of different sizes:
Published:
Antipodes of a sphere are pairs of points separated by the diameter, i.e. for the Earth, you can reach the antipode of your location by drilling through the center all the way. Suppose you’re standing somewhere on land (about 30% of the Earth surface area) and you wanna know the probability for you to end up on land on the other side? Following script approximates this using maps generated through geopandas package.
Published:
Just stumbled upon this powerful python package for audio analysis - librosa (see also McFee et al. 2015). Extracting waveforms and decomposing into harmonic/percussive components can all be done in single-liners, and it also substantially simplifies more complicated analyses like synchronization and Laplacian segmentation. Here is a quick decomposition of a sample Rammstein song from youtube:
Published:
The original repository for this webpage comes with an utility for creating interactive leaflet cluster map of talk locations. The script talkmap.py basically scraps talk location info from markdown files listed inside _talks/ and creates the map using geopy and getorg.
Published:
Using only smtplib and getpass you can send your email from the terminal:
Published:
Antipodes of a sphere are pairs of points separated by the diameter, i.e. for the Earth, you can reach the antipode of your location by drilling through the center all the way. Suppose you’re standing somewhere on land (about 30% of the Earth surface area) and you wanna know the probability for you to end up on land on the other side? Following script approximates this using maps generated through geopandas package.
Published:
Just stumbled upon this powerful python package for audio analysis - librosa (see also McFee et al. 2015). Extracting waveforms and decomposing into harmonic/percussive components can all be done in single-liners, and it also substantially simplifies more complicated analyses like synchronization and Laplacian segmentation. Here is a quick decomposition of a sample Rammstein song from youtube: