diff --git a/README.md b/README.md
index d112951..e438dbb 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,6 @@
 [![Build Status](https://travis-ci.org/gcalderone/Gnuplot.jl.svg?branch=master)](https://travis-ci.org/gcalderone/Gnuplot.jl)
 [![License](http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat)](LICENSE.md)
 [![DocumentationStatus](https://img.shields.io/badge/docs-latest-blue.svg?style=flat)](https://gcalderone.github.io/Gnuplot.jl/dev/)
-![Examples](https://img.shields.io/website?up_message=examples&url=https%3A%2F%2Flazarusa.github.io%2Fgnuplot-examples%2F)
 
 
 **Gnuplot.jl** is a simple package able to send both data and commands from Julia to an underlying [gnuplot](http://gnuplot.sourceforge.net/) process.  Its main purpose it to provide a fast and powerful data visualization framework, using an extremely concise Julia syntax.
@@ -27,6 +26,45 @@ test_terminal()
 ```
 
 ## Quick start
+The following examples are supposed to be rather self-explaining.  See [documentation](https://gcalderone.github.io/Gnuplot.jl/dev/) for further informations.
+
+### A simple parabola
+```julia
+x = 1.:20
+@gp x x.^2 "with lines title 'Parabola'"
+save(term="pngcairo size 640,480", output="ex1.png")
+save("parabola.gp")  # => save a script file with both data and command to re-create the plot.  
+```
+
+### A slightly more complex plot, with unicode on X tics
+```julia
+x = -2pi:0.1:2pi
+approx = fill(0., length(x));
+@gp t="Polynomial approximation of sin(x)"  key="opaque"
+@gp :- "set encoding utf8" raw"""set xtics ('-π' -pi, 'π/2' -pi/2, 0, 'π/2' pi/2, 'π' pi)"""
+@gp :- xr=3.8.*[-1, 1] yr=[-1.5,1.5] 
+@gp :- x sin.(x) approx .+= x           "w filledcurve t 'n=0' lt 1"
+@gp :- x sin.(x) approx .+= -x.^3/6     "w filledcurve t 'n=1' lt 2"
+@gp :- x sin.(x) approx .+=  x.^5/120   "w filledcurve t 'n=2' lt 3"
+@gp :- x sin.(x) approx .+= -x.^7/5040  "w filledcurve t 'n=3' lt 4"
+@gp :- x sin.(x)                        "w l t 'sin(x)' lw 2 lc rgb 'black'"
+save(term="pngcairo size 640,480", output="ex2.png")
+```
+
+### Multiplot: a 2D histogram contour plot and a 3D surface plot
+```julia
+x = randn(10_000)
+y = randn(10_000)
+h = hist(x, y, bs1=0.25, nbins2=20)
+@gp "set multiplot layout 1,2"
+@gp :- 1 key="outside top center box horizontal" "set size ratio -1" h
+clines = contourlines(h.bins1, h.bins2, h.counts, cntrparam="levels discrete 10, 30, 60, 90");
+for i in 1:length(clines)
+    @gp :- clines[i].data "w l t '$(clines[i].z)' lw $i lc rgb 'gray'" :-
+end
+@gsp :- 2 h.bins1 h.bins2 h.counts "w pm3d notit"
+save(term="pngcairo size 660,350 fontscale 0.8", output="ex3.png")
+```
 
 ## Examples
 The main gallery of examples is maintained in a separate repository: