Why Your Data Processing Never Ends: How I Saved 18 Hours with Python Parallel Processing

Hello, this is k-chan.There are times when you need to download and collect thousands of data points at once from a target system to analyze more than a year's worth of data. Have you ever held your h ...

Summary of 'Concepts of Concurrent and Asynchronous Processing Useful in Practice'

By running multiple processes in parallel, you can utilize communication wait times and improve system responsiveness.On the ...
GitHub

torch_dataloader.md

```python title="train.py" hl_lines="3 7" from torch.utils.data import DataLoader sample = FOVDataset(store_path)[0] # (1)! loader = DataLoader(FOVDataset(store_path ...
KDnuggets

7 Advanced Python Design Patterns for Data Scientists

Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...
Nature

Process chemistry articles from across Nature Portfolio

Process chemistry involves the development and optimization of production processes for chemical compounds, and the scaling up of laboratory reactions, particularly in the pharmaceutical sector. This ...
soumu.go

About the Hiroshima AI Process

Given that the rapid development and spread of generative AI had been an important issue for the international community as a whole, the Hiroshima AI Process was launched in May 2023, following the ...