Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Train ML Models With SQL You Already Know
BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
a set of scripts that helps you analyze physiology datasets
For the analyses of patch-clamp data (obtained from Igor/MME) using Python.
The following modules are the minimum requirements:
- Scipy (including numpy, matplotlib)
- h5py
In addition, following modules are required in order to fully make use of KS Workbench:
- scikit-learn (for some fitting algorithms)
- rpy2 (for some statistical analyses)
Data Processing and Analysis for X-ray Spectroscopy and More
...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources.
Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).