Improvement for Docs (#460)

* Added an icon on the welcome page

* Better icon for gallery

* Using more commonly supported icons

* Added the online sandbox playground

* Added a online sandbox intro page

* Words

* Added a tab grid to the getting started landing page

* Words and new links

* Matching graph icon on the landing page

docs/getting_started/index.md

@@ -3,17 +3,25 @@
 ::::{grid} 
 :gutter: 1 1 1 2
 
+:::{grid-item-card} {octicon}`chevron-right;2.5em;sd-mr-1` Try Online
+:link: getting_started/sandbox_intro.md
+:link-type: doc
+
+Try chainladder online.
+:::
+
 :::{grid-item-card} {octicon}`desktop-download;2.5em;sd-mr-1` Installation
-:link: install
+:link: install.md
 :link-type: doc
 
-How to install chainladder
+How to install chainladder.
 :::
 
 :::{grid-item-card} {octicon}`beaker;2.5em;sd-mr-1` Tutorials
-:link: tutorials/index
+:link: tutorials/index.md
 :link-type: doc
 
 Our beginner tutorials.
 :::
+
 ::::

docs/getting_started/online_sandbox/sandbox_intro.md

@@ -1,22 +1,20 @@
 # {octicon}`chevron-right` Try Online
 
-Before you go through the trouble of installing the package on your machine, why not  give it a try online first? There's no reason to spend the time with getting your enviroment set up. Now you can explore what `chainladder-python` can do without any installation hassle. Give it a shot now and see for yourself!
+Before you go through the trouble of installing the package on your machine, why not give it a try online first? There's no reason to spend the time with setting up your dev enviroment, if you end up finding out that this is not useful to you. Save the time so you can spend it reconciling your data instead.
 
-If you are already familiar with a programming language, you should be able to get thorugh this sandbox tutorial in **about an hour**. While knowing python is not really required for this sandbox tutorial, you'll want to brush up your basic python skills before working on the Onboarding Tutorials.
+If you are already familiar with a programming language, you should be able to get through this sandbox tutorial pretty quickly. While knowing python is not really required for this sandbox tutorial, you'll want to brush up your basic python skills before working on the more in depth Onboarding Tutorials following installation.
 
-This sandbox tutorial is set up for you to "fill in the blank". Basically, most of the code is already completed, except for a small piece of code in each line for you to fill in. 
+This online sandbox tutorial is set up for you to "fill in the blanks". Basically, most of the code is already completed, except for a small piece of code in each line for you to fill in. It's up to you to figure out what goes in there, but we, the code volunteers are ready to answer any questions you may have, on GitHub.
 
+Time recommended: **1 hour**
 
-- [Presentation Deck](https://docs.google.com/presentation/d/13JtlCODvNjAF62SQyF_TLnvGk8FuBOOn4L3LeDqxjbQ/edit#slide=id.g14a01cc18bb_0_0)
-- [Lite Demo Workbook](https://github.com/casact/chainladder-python/blob/master/docs/library/2022_cas_annual_meeting/demo-blank-concurrent.ipynb)
- - Open in [Google Colab](https://githubtocolab.com/casact/chainladder-python/blob/master/docs/library/2022_cas_annual_meeting/demo-blank-concurrent.ipynb) (faster, Google Account required)
- - Open in [Binder](https://mybinder.org/v2/gh/casact/chainladder-python/master?urlpath=treedocs/library/2022_cas_annual_meeting/demo-blank-concurrent.ipynb) (slower, no sign up required)
+You can open the sandbox tutorial in one of two ways. You may be forced to use one or another, especially if you are a company network with strict network firewall rules.
 
-Other Resources:
-- [Chainladder-Python's GitHub](https://github.com/casact/chainladder-python/)
-- [CAS's GitHub](https://github.com/casact/)
-- [Actuarial Open Source](https://actuarialopensource.org/)
-- [The Actuary and IBNR Techniques: A Machine Learning Approach](https://deliverypdf.ssrn.com/delivery.php?ID=731070114084107029112030090019092127058062071092084057031006123078008013125027108099057029023099109125023090100018002120091125040057062033063080127003007019073011006073066010070116122002109103099127107020127111111065095019102084011005006064111002022121&EXT=pdf&INDEX=TRUE) by Caesar Balona & Ronald Richman 
-- FASLR (Free Actuarial System for Loss Reserving): GUI of Chainladder-python by Gene Dan
- - [GitHub](https://github.com/casact/FASLR)
- - [Gene's Blog](https://genedan.com/)
+- Open in [Google Colab](https://githubtocolab.com/casact/chainladder-python/master/docs/getting_started/online_sandbox/demo-blank-concurrent.ipynb) (faster, but a free Google Account is required)
+- Open in [Binder](https://mybinder.org/v2/gh/casact/chainladder-python/master/docs/getting_started/online_sandbox/demo-blank-concurrent.ipynb) (slower, no sign up required)
+
+<!-- # old stuff -->
+<!-- - Open in [Google Colab](https://githubtocolab.com/casact/chainladder-python/blob/master/docs/library/2022_cas_annual_meeting/demo-blank-concurrent.ipynb) (faster, but a free Google Account is required)
+- Open in [Binder](https://mybinder.org/v2/gh/casact/chainladder-python/master?urlpath=treedocs/library/2022_cas_annual_meeting/demo-blank-concurrent.ipynb) (slower, no sign up required) -->
+
+Just in case you want a copy of the sandbox tutorial notebook, you can download it [here](https://github.com/casact/chainladder-python/blob/master/docs/getting_started/online_sandbox/demo-blank-concurrent.ipynb).

docs/intro.md

@@ -23,7 +23,7 @@ Install chainladder and try the beginner tutorials.
 A more comprehensive guide on the capabilities of chainladder.
 :::
 
-:::{grid-item-card} {octicon}`grabber;2.5em;sd-mr-1` Galllery
+:::{grid-item-card} {octicon}`graph;2.5em;sd-mr-1` Galllery
 :link: gallery/index
 :link-type: doc