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Variety of Python code for using in lab environment (data acquisition, device communication, data analysis)

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Overview

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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Variety of Python code for using in lab environment (data acquisition, device communication, data analysis)

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