IPythonNotebookTutorial

IPython Notebook Tutorial for the scientists

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For SNS users, open this link to get started.

Contents

1. Introduction to Python with Jupyter Notebooks

• <shift>+<enter>
• <shift>+<tab>
• print
• numpy arrays
• functions
• matplotlib plot

2. Loading and plotting data from a text file

• numpy record arrays and genfromtxt
• Matplotlib: scatter, log, error bars and legend

3. Loading and viewing image data.

4. Glob:

• glob
• For loops
• os.path
• string manipulation

5. Fitting TAS data

• Defining functions
• LMFit
• Two Pannel plot

6. Loading and plotting a log from a NeXus file

• h5py

7. Working with Mantid and Python

Setup environment using conda

$ conda create -n ipythonnotebooktutorial
$ source activate ipythonnotebooktutorial
$ conda install python=3 scipy numpy matplotlib h5py astropy lmfit jupyter

Links

• A gallery of jupyter notebooks: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks
• Coursera data science course using jupyter https://en.coursera.org/learn/python-data-analysis
• Jupyter notebook "BINARY BLACK HOLE SIGNALS IN LIGO OPEN DATA": http://nbviewer.jupyter.org/urls/losc.ligo.org/s/events/LOSC_Event_tutorial.ipynb