Completed the article.

Updated readme links.
Updated project dependencies.

Author: wasin-waeosri

Article.md

@@ -686,6 +686,8 @@ df_all[df_all["RIC"] == "AMZN.O"]
 
 That’s all I have to say about how to use historical-pricing data from Data Platform APIs.
 
+
+
 ## What If I Use Other Programming Languages?
 
 The asynchronous execution model is not limited to Python. Most modern programming languages have built-in or well-supported async HTTP capabilities, so the same patterns demonstrated in this article — concurrent requests, throttling with a semaphore, and per-result error handling — translate naturally to other ecosystems.
@@ -716,10 +718,17 @@ That said, async code does introduce more moving parts — coroutines, semaphore
 
 **One important thing to keep in mind**: the Data Platform enforces per-account rate limits. If you send too many concurrent requests, you will receive an **HTTP 429 Too Many Requests** error. Always throttles your concurrency, and be ready to reduce your request rate if you start seeing 429 responses.
 
-For further reading, I recommend the following resources:
+## Next Step 
+
+The `asyncio.gather` is not the only option that Python Asyncio offers for developers.  If you prefer to manual manage and run coroutine, the [`asyncio.create_task`](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task) migth suite your need. This low-level method schedules a coroutine to run as a background task immediately, without waiting.
+
+Introduced in Python version 3.11, [`asyncio.TaskGroup`](https://docs.python.org/3/library/asyncio-task.html#asyncio.TaskGroup) provides a modern, cleaner, and fail-safe way for structured concurrency I/O bound operations. It is suitable for I/O piplines that any failure should abort the whole operation.
+
+There are much more Data Platform endpoints, HTTPX and Asyncio features that you can explore to find the things that suite your technical and bussiness needs. For further reading, I recommend the following resources:
 
 - [Data Platform APIs Quick Start](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis/quick-start)
 - [Data Platform APIs Tutorials](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis/tutorials)
+- [Data Platform APIs Documents](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis/documents)
 - [HTTPX Documentation](https://www.python-httpx.org/)
 - [Python asyncio Documentation](https://docs.python.org/3/library/asyncio.html)
 

README.md

@@ -188,6 +188,9 @@ Apache 2.0. See [LICENSE.md](LICENSE.md).
 For further details, please check out the following resources:
 
 - [LSEG Data Platform](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis) on the [LSEG Developers Portal](https://developers.lseg.com/en/) website.
+- [Data Platform APIs Quick Start](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis/quick-start)
+- [Data Platform APIs Tutorials](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis/tutorials)
+- [Data Platform APIs Documents](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis/documents)
 - [HTTPX library](https://www.python-httpx.org/) and [GitHub](https://github.com/encode/httpx) pages.
 - [Python Asyncio library](https://docs.python.org/3/library/asyncio.html) page.
 - [Python's asyncio: A Hands-On Walkthrough](https://realpython.com/async-io-python/)

requirements.txt

@@ -10,7 +10,7 @@ beautifulsoup4==4.14.3
 bleach==6.3.0
 certifi==2026.2.25
 cffi==2.0.0
-charset-normalizer==3.4.6
+charset-normalizer==3.4.7
 colorama==0.4.6
 comm==0.2.3
 debugpy==1.8.20
@@ -34,7 +34,7 @@ jsonpointer==3.1.1
 jsonschema==4.26.0
 jsonschema-specifications==2025.9.1
 jupyter-events==0.12.0
-jupyter-lsp==2.3.0
+jupyter-lsp==2.3.1
 jupyter_client==8.8.0
 jupyter_core==5.9.1
 jupyter_server==2.17.0
@@ -47,16 +47,16 @@ MarkupSafe==3.0.3
 matplotlib-inline==0.2.1
 mistune==3.2.0
 nbclient==0.10.4
-nbconvert==7.17.0
+nbconvert==7.17.1
 nbformat==5.10.4
 nest-asyncio==1.6.0
 notebook_shim==0.2.4
 numpy==2.4.4
 packaging==26.0
-pandas==3.0.1
+pandas==3.0.2
 pandocfilters==1.5.1
 parso==0.8.6
-platformdirs==4.9.4
+platformdirs==4.9.6
 prometheus_client==0.24.1
 prompt_toolkit==3.0.52
 psutil==7.2.2
@@ -70,7 +70,7 @@ pywinpty==3.0.3
 PyYAML==6.0.3
 pyzmq==27.1.0
 referencing==0.37.0
-requests==2.33.0
+requests==2.33.1
 rfc3339-validator==0.1.4
 rfc3986-validator==0.1.1
 rfc3987-syntax==1.1.0
@@ -81,11 +81,11 @@ six==1.17.0
 soupsieve==2.8.3
 stack-data==0.6.3
 terminado==0.18.1
-tinycss2==1.4.0
+tinycss2==1.5.1
 tornado==6.5.5
 traitlets==5.14.3
 typing_extensions==4.15.0
-tzdata==2025.3
+tzdata==2026.1
 uri-template==1.3.0
 urllib3==2.6.3
 wcwidth==0.6.0