A "Best of the Best Practices" (BOBP) guide to developing in Python.
- "Build tools for others that you want to be built for you." - Kenneth Reitz
- "Simplicity is alway better than functionality." - Pieter Hintjens
Latency Comparison Numbers (~2012) | |
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L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
#Jekyll Markdown Quick Reference
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title: Markdown Style Guide
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torch.manual_seed(42) | |
x_tensor = torch.from_numpy(x).float() | |
y_tensor = torch.from_numpy(y).float() | |
# Builds dataset with ALL data | |
dataset = TensorDataset(x_tensor, y_tensor) | |
# Splits randomly into train and validation datasets | |
train_dataset, val_dataset = random_split(dataset, [80, 20]) |