Data Analysis with LabTools

Contents:

• Introduction
• What is necessary to do data analysis using Python ?
  • Numpy, Scipy, Matplotlib, IPython
  • Anaconda Installation
  • Software Packages for Modern Lab and later: LT/LT_Fit
  • Example Files
• Python Fundamentals
  • Working with Jupyter Notebooks
  • Working with Spyder
  • A very short introduction into Python for non-programmers
• Entering Data into a Data File
• Loading Modules in Python
• Working with Data Files and Numpy Arrays
  • Open files and load data
  • Numpy arrays
  • 2-dimensional arrays
  • Selecting data from arrays / Logical operations on arrays
  • Parameters in data files
  • Computations using arrays
• Plotting the Data
  • Plot Columns of a Data File (pdfile)
  • Plotting Arrays of Data
• Working With Histograms
  • 1D-Histograms
  • 2D-Histograms
• Data Fitting
  • Fitting a Line
  • Fitting a Polynomial
  • Histogram Fitting
  • Working with MCA Data
  • General Linear Fitting
  • General Non-Linear Fitting
  • Goodness of a Fit, how to interpret \(\chi^2\)
  • Fitting data without Errors
• Collection of useful tools
  • Overview
  • Select a sub-set of data interactively
  • Fitting a Peak in a Histogram
  • Peak Position by Fitting a Parabola
  • Fitting a Gaussian
• Python Scripts
  • General Idea
  • Problems you might encounter
• Python Script Examples
• Indentation Error Example:

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