Characterization and Operation Software (ChOpeS) provides a set of tools for
Data analysis and Operation Software (DOpeS) provides a set of tools for
1.Characterization and analysis for data coming from lab equipment such as Raman spectrometer, white-light interferometer, ...
1.Data analysis for data coming from lab equipment such as Raman spectrometer, white-light interferometer, ...
2. Controlling lab equipment such as multimeter, source measurement units, pressure generator, climatic chamber, monochromator, ...
2. Controlling lab equipment such as multimeter, source measurement units, pressure generator, climatic chamber, monochromator, ...
## Structure
## Structure
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@@ -23,6 +23,11 @@ ChOpeS is made from functions, classes and scripts based on Python programming l
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@@ -23,6 +23,11 @@ ChOpeS is made from functions, classes and scripts based on Python programming l
-**SciPy** for the data processing tools such as interpolation and filtering (only for *data_analysis* part)
-**SciPy** for the data processing tools such as interpolation and filtering (only for *data_analysis* part)
-**Pyvisa** for the communication with equipment (only for *equipment_control* part)
-**Pyvisa** for the communication with equipment (only for *equipment_control* part)
The python packages can be installed from python the Python Package Index (pip)
'''
pip install numpy, scipy, pyvisa
'''
## Installation
## Installation
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.