Updated project name and overview.

Author: wasin-waeosri

Article.md

@@ -1,4 +1,4 @@
-# Asynchronous LSEG Data Platform REST APIs with Python HTTPX
+# Concurrent LSEG Data Platform API Calls with Python Asyncio and HTTPX
 
 - Version: 1.0
 - Last update: Mar 2026
@@ -13,7 +13,7 @@ That said, there are other Python HTTP libraries worth considering — [HTTPX](h
 
 I was drawn to HTTPX because it provides a **requests-compatible API** while also supporting **asynchronous operations** out of the box. That combination made migrating from Requests to HTTPX straightforward, with the added benefit of async support when needed.
 
-This project demonstrates how to use [`httpx`](https://www.python-httpx.org/) to authenticate and retrieve data from [LSEG Data Platform APIs](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis) via HTTP endpoints — covering both synchronous and asynchronous patterns for comparison.
+This article shows how to use [HTTPX](https://www.python-httpx.org/) with [LSEG Data Platform APIs](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis) for authentication and data retrieval, with side-by-side synchronous and asynchronous examples. Its main purpose is to demonstrate the practical benefit of concurrent asynchronous HTTP calls: when many requests are needed, total wall-clock time is typically much lower than sequential execution while still allowing controlled throttling.
 
 **Note**: A basic knowledge of Python [built-in asyncio](https://docs.python.org/3/library/asyncio.html) library is required to understand example codes.
 
@@ -148,7 +148,7 @@ The real payoff of async comes when you have **many requests to make**. With `as
 
 ### What are Coroutines?
 
-You will see the term **coroutines** a lot in this article. What does it mean? The [Python Coroutines](https://docs.python.org/3/library/asyncio-task.html#coroutines) is functions that can pause and resume their execution, allowing other tasks to run in the meantime. The coroutines functions always declared with the `async/await` syntax like the asynchronous Python asyncio example above.
+You will see a term **coroutines** a lot in this article. What does it mean? The [Python Coroutines](https://docs.python.org/3/library/asyncio-task.html#coroutines) is functions that can pause and resume their execution, allowing other tasks to run in the meantime. The coroutines functions always declared with the `async/await` syntax like the asynchronous Python asyncio example above.
 
 Let’s leave the Synchronous/Asynchronous definition there.
 

README.md

@@ -1,4 +1,4 @@
-# Asynchronous LSEG Data Platform REST APIs with Python HTTPX
+# Concurrent LSEG Data Platform API Calls with Python Asyncio and HTTPX
 
 - Version: 1.0
 - Last update: Apr 2026
@@ -13,7 +13,7 @@ That said, there are other Python HTTP libraries worth considering — [HTTPX](h
 
 I was drawn to HTTPX because it provides a **requests-compatible API** while also supporting **asynchronous operations** out of the box. That combination made migrating from Requests to HTTPX straightforward, with the added benefit of async support when needed.
 
-This project demonstrates how to use [`httpx`](https://www.python-httpx.org/) to authenticate and retrieve data from [LSEG Data Platform APIs](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis) via HTTP endpoints — covering both synchronous and asynchronous patterns for comparison.
+This project shows how to use [HTTPX](https://www.python-httpx.org/) with [LSEG Data Platform APIs](https://developers.lseg.com/en/api-catalog/refinitiv-data-platform/refinitiv-data-platform-apis) for authentication and data retrieval, with side-by-side synchronous and asynchronous examples. Its main purpose is to demonstrate the practical benefit of concurrent asynchronous HTTP calls: when many requests are needed, total wall-clock time is typically much lower than sequential execution while still allowing controlled throttling.
 
 **Note**: A basic knowledge of Python [built-in asyncio](https://docs.python.org/3/library/asyncio.html) library is required to understand example codes.