Collection of Python code for using in lab environment (data acquisition, device communication, data analysis)
Project description
PyLabLib is a collection of code intended to simplify some of the coding tasks encountered in a physics laboratory.
- Some major parts include:
Simpler loading and saving of data in text or binary files.
Data tables with heterogeneous columns and more universal indexing (heavy overlap with pandas).
Some data processing utilities: filtering, decimating, peak detection, FFT (mostly wrappers around NumPy and SciPy).
Classes for device control (universal wrapper for pyVISA, pySerial and network backends).
Classes for many specific devices (cameras, lasers, translation stages, etc).
More user-friendly fitting interface.
Multi-level dictionaries which are convenient for storing heterogeneous data and settings in human-readable format.
A bunch more utilities dealing with file system (creating, moving and removing folders, zipping/unzipping, path normalization), network (simplified interface for client and server sockets), strings (serializing and de-serializing values), function introspection, and more.
Additional tools for GUI generation and simpler multithreading built on top PyQt5 (still in development stage: not completely documented, code organization and interfaces can change in later versions).
The most recent version library is available on GitHub (https://github.com/AlexShkarin/pyLabLib), and the documentation can be found at http://pylablib.readthedocs.io/ .
For a more comprehensive, specialized, and recent version of the library (also specific dll’s required for some devices), check out dev branch of the GitHub repository.
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