docs: Add link to QuickStart repo

.github/workflows/test-docs-links.yml

@@ -35,7 +35,9 @@ jobs:
           bundle install
 
       - name: Setup HTML Proofer
-        run: gem install html-proofer
+        run: |
+          gem install html-proofer
+          htmlproofer --help
 
       - name: Replace "data-src"
         uses: jacobtomlinson/gha-find-replace@v3
@@ -63,11 +65,13 @@ jobs:
           BUNDLE_GEMFILE: ${{github.workspace}}/docs/GemFile
         run: bundle exec jekyll serve --detach
 
+        # see help in setup step
       - name: Test for broken URLs
         working-directory: docs
         run: |
           htmlproofer _site \
             --no-enforce-https \
+            --no-check-external-hash \
             --ignore-status-codes "0,302,403,406,408,429,503,999" \
             --swap-urls "https\://python.stockindicators.dev:http\://127.0.0.1:4000" \
             --ignore-urls "/fonts.gstatic.com/"

docs/GemFile.lock

@@ -21,7 +21,7 @@ GEM
     addressable (2.8.6)
       public_suffix (>= 2.0.2, < 6.0)
     base64 (0.2.0)
-    bigdecimal (3.1.6)
+    bigdecimal (3.1.7)
     coffee-script (2.4.1)
       coffee-script-source
       execjs
@@ -31,10 +31,9 @@ GEM
     concurrent-ruby (1.2.3)
     connection_pool (2.4.1)
     cssminify2 (2.0.1)
-    dnsruby (1.70.0)
+    dnsruby (1.72.0)
       simpleidn (~> 0.2.1)
-    drb (2.2.0)
-      ruby2_keywords
+    drb (2.2.1)
     em-websocket (0.5.3)
       eventmachine (>= 0.12.9)
       http_parser.rb (~> 0)
@@ -106,7 +105,7 @@ GEM
       nokogiri (>= 1.4)
     htmlcompressor (0.4.0)
     http_parser.rb (0.8.0)
-    i18n (1.14.1)
+    i18n (1.14.4)
       concurrent-ruby (~> 1.0)
     jekyll (3.9.5)
       addressable (~> 2.4)
@@ -242,11 +241,11 @@ GEM
       jekyll (>= 3.5, < 5.0)
       jekyll-feed (~> 0.9)
       jekyll-seo-tag (~> 2.1)
-    minitest (5.22.2)
+    minitest (5.22.3)
     mutex_m (0.2.0)
     net-http (0.4.1)
       uri
-    nokogiri (1.16.2)
+    nokogiri (1.16.3)
       mini_portile2 (~> 2.8.2)
       racc (~> 1.4)
     octokit (4.25.1)
@@ -262,7 +261,6 @@ GEM
       ffi (~> 1.0)
     rexml (3.2.6)
     rouge (3.30.0)
-    ruby2_keywords (0.0.5)
     rubyzip (2.3.2)
     safe_yaml (1.0.5)
     sass (3.7.4)

docs/pages/guide.md

@@ -29,7 +29,7 @@ layout: page
 
     Check that you've installed the following prerequisite software:
 
-    > Install the latest **Python** and **.NET SDK** for best performance.
+    > Install **Python** and the **.NET SDK**.  Use the latest versions for better performance.
 
     | Installer | Min | Latest | Download |
     |---| :---: | :---: | --- |
@@ -41,12 +41,17 @@ layout: page
 2. Find and install the **stock-indicators** Python package into your environment.
 
     ```bash
-    # pip example
+    # bash CLI command
     pip install stock-indicators
     ```
 
     > See [Python documentation](https://packaging.python.org/en/latest/tutorials/installing-packages/) for more help with installing packages.
 
+> **More help**: if you're still having trouble getting started, see our
+> **[QuickStart guide](https://github.com/DaveSkender/Stock.Indicators.Python.QuickStart#readme)**
+> for step-by-step instructions to setup up your environment,
+> and for calculating your first indicator using this library.
+
 ### Prerequisite data
 
 Most indicators require that you provide historical quote data and additional configuration parameters.
@@ -118,9 +123,6 @@ Note that:
 1. `date` is always required, while each ohlcv values are optional.
 2. ohlcv can be provided by `float`, `Decimal` and `str` representing number, but these are always stored as `Decimal`.
 
-> If you're having trouble converting into `Quote` format, see our GitHub discussion on
-> [Converting Pandas DataFrame to iterable Quotes]({{site.dotnet.repo}}/discussions/1165) for more information and troubleshooting support.
-
 ### Where can I get historical quote data?
 
 There are many places to get stock market data.  Check with your brokerage or other commercial sites.  If you're looking for a free developer API, see our ongoing [discussion on market data]({{site.dotnet.repo}}/discussions/579) for ideas.
@@ -156,7 +158,12 @@ quotes_list = [
 ]
 ```
 
-You can also use `numpy.vectorize()`, its gain is too slight and hard to apply in this case.
+You can also use experiment with `numpy.vectorize()`, but we don't like it much.  Its small performance gains aren't worth the added code complexity in this use case.
+
+For a quickstart that includes converting quotes from **Pandas DataFrame**, see our online _ReplIt_ code example for the [Williams Fractal indicator](https://replit.com/@daveskender/Stock-Indicators-for-Python-Williams-Fractal).
+
+> If you're still having trouble converting into `Quote` format, see our GitHub discussion on
+> [Converting Pandas DataFrame to iterable Quotes]({{site.dotnet.repo}}/discussions/1165) for more community discussion and troubleshooting support.
 
 ### Using custom quote classes