Create Readme.md

Author: talassio

Examples/Readme.md

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+# Example Jupyter Notebooks
+
+This folder contains the Jupyter notebooks referenced
+in the NAG Library for Python Course.
+
+# Content
+
+Examples are available in Python and Jupyter notebooks
+ 
+### Notebooks
+ 
+  * `correg` [Quantile Linear Regression](correg/quantile_linreg_easy.ipynb) [[python](python) | [plot](python/quantile_linreg_ex.pdf)]
+  * `fit` [2d split surface fit](fit/dim2_spline_ts_sctr.ipynb) [[python](python/dim2_spline_ts_sctr_ex.py) | [plot](python/dim2_spline_ts_sctr_ex.pdf)]
+  * `opt` [2d Rosenbrock minimization](opt/bounds_quasi_func_easy.ipynb). Newer material: [[FOAS notebook](../NAGPythonExamples/blob/master/local_optimization/FOAS/rosenbrock2d.ipynb) | [FOAS python](python/handle_solve_bounds_foas_ex.py) | [plot](python/handle_solve_bounds_foas_ex.pdf)]
+  * `simple` [Simple example on solving a trivial system of linear equations])simple/Simple.ipynb)
+  * `tsa` [Detect changes in a finantial time-series](tsa/cp_pelt_new.ipynb) [[python](python/cp_pelt_ex.py) | [plot](python/cp_pelt_ex.pdf)]
+
+### Python source
+
+  * 2d global optimization problem [[source](python/bnd_mcs_solve_ex.py) | [plot](python/bnd_mcs_solve_ex.pdf)]
+  * Derivative free optimization (DFO) data fitting [[python](python/handle_solve_dfls_ex.py) | [plot](python/handle_solve_dfls_ex.pdf)]