Update README.md

README.md

@@ -20,7 +20,7 @@ The statistics-resampling package is an Octave package and Matlab toolbox that c
 
 ### Using the statistics-resampling package online
 
-Try out the statistics-resampling package in your browser at [statistics-resampling-online](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/master?labpath=statistics-resampling.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/master?labpath=statistics-resampling.ipynb): a ready-to-go implementation of statistics-resampling in a JupyterLab Notebook with an Octave kernel. *Note that the first time (since the last repository commit) that you use statistics-resampling online with Binder you can expect it to take a few minutes to build a docker image.*
+Try out the statistics-resampling package in your browser at [statistics-resampling-online](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/master?labpath=statistics-resampling.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/master?labpath=statistics-resampling.ipynb): a ready-to-go implementation of statistics-resampling in a JupyterLab Notebook with an Octave kernel. *Note that the first time (since the last repository commit) that you use statistics-resampling online with Binder you can expect it to take a while to build a docker image, but subsequent access to statistics-resampling-online will only take a few of seconds.*
 
 Collaborative student projects in GNU Octave can use the statistics-resampling package at [Octave-Online](https://octave-online.net/). Doing so requires users to download the latest release of the Source code (tar.gz) from [here](https://github.com/gnu-octave/statistics-resampling/releases) and follow steps 2-5 of these [instructions](https://octaveonline.uservoice.com/knowledgebase/articles/1078840-installing-custom-packages).
 
@@ -73,7 +73,7 @@ Function help can also be requested directly from the Octave/MATLAB command prom
 
 In Octave only, you can get a basic overview of the package and it's functions by typing: `pkg describe -verbose statistics-resampling`, or request demonstrations of function usage by typing `demo function-name`. Users can also request help with using functions and programming in Octave at the [discourse group](https://octave.discourse.group/c/help/6).  
 
-*TIPS: Document and publish your analysis project using statistics-resampling functions in a Jupyter Notebook (with an Octave kernel) by forking and customizing the [statistics-resampling-online GitHub repository](https://github.com/acpennlab/statistics-resampling-online). With [Jupyter Lab](https://jupyter.org/try), you can also integrate use of the statistics-resampling package into your analysis workflow along with other programming languages (e.g. Python, R or Julia etc.) by installing and configuring different kernels.*  
+*TIPS: Document and publish your analysis project using statistics-resampling functions in a Jupyter Notebook (with an Octave kernel) by forking and customizing the statistics-resampling-online GitHub repository ![](https://img.shields.io/github/forks/acpennlab/statistics-resampling-online?label=GitHub%20Repo&style=social). With [Jupyter Lab](https://jupyter.org/try), you can also integrate use of the statistics-resampling package into your analysis workflow along with other programming languages (e.g. Python, R etc.) by using Jupyter notebooks (which you can try [here]) (https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/master?labpath=statistics-resampling.ipynb)  [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/master?labpath=statistics-resampling.ipynb), or at [COCALC](https://cocalc.com/)*  
 
 ### Quick start