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+## Asynchronous Context Managers and Generators in Python
+Asynchronous programming in Python allows for more efficient use of resources by enabling tasks to run concurrently. Python provides support for asynchronous 
+context managers and generators, which help manage resources and perform operations asynchronously.
+
+### Asynchronous Context Managers
+Asynchronous context managers are similar to regular context managers but are designed to work with asynchronous code. They use the async with statement and 
+typically include the '__aenter__' and '__aexit__' methods.
+
+### Creating an Asynchronous Context Manager
+Here's a simple example of an asynchronous context manager:
+
+```bash
+import asyncio
+
+class AsyncContextManager:
+    async def __aenter__(self):
+        print("Entering context")
+        await asyncio.sleep(1)  # Simulate an async operation
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        print("Exiting context")
+        await asyncio.sleep(1)  # Simulate cleanup
+
+async def main():
+    async with AsyncContextManager() as acm:
+        print("Inside context")
+
+asyncio.run(main())
+```
+
+Output:
+
+```bash
+Entering context
+Inside context
+Exiting context
+```
+
+### Asynchronous Generators
+Asynchronous generators allow you to yield values within an asynchronous function. They use the async def syntax along with the yield statement and are 
+iterated using the async for loop.
+
+### Creating an Asynchronous Generator
+Here's a basic example of an asynchronous generator:
+
+```bash
+import asyncio
+
+async def async_generator():
+    for i in range(5):
+        await asyncio.sleep(1)  # Simulate an async operation
+        yield i
+
+async def main():
+    async for value in async_generator():
+        print(value)
+
+asyncio.run(main())
+```
+Output:
+```bash
+0
+1
+2
+3
+4
+```
+### Combining Asynchronous Context Managers and Generators
+You can combine asynchronous context managers and generators to create more complex and efficient asynchronous workflows.
+Example: Fetching Data with an Async Context Manager and Generator
+Consider a scenario where you need to fetch data from an API asynchronously and manage the connection using an asynchronous context manager:
+```bash
+import aiohttp
+import asyncio
+
+class AsyncHTTPClient:
+    def __init__(self, url):
+        self.url = url
+
+    async def __aenter__(self):
+        self.session = aiohttp.ClientSession()
+        self.response = await self.session.get(self.url)
+        return self.response
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.response.release()
+        await self.session.close()
+
+async def async_fetch(urls):
+    for url in urls:
+        async with AsyncHTTPClient(url) as response:
+            data = await response.text()
+            yield data
+
+async def main():
+    urls = ["http://example.com", "http://example.org", "http://example.net"]
+    async for data in async_fetch(urls):
+        print(data)
+
+asyncio.run(main())
+```
+### Benefits of Asynchronous Context Managers and Generators
+1. Efficient Resource Management: They help manage resources like network connections or file handles more efficiently by releasing them as soon as they are no longer needed.
+2. Concurrency: They enable concurrent operations, improving performance in I/O-bound tasks such as network requests or file I/O.
+3. Readability and Maintainability: They provide a clear and structured way to handle asynchronous operations, making the code easier to read and maintain.
+### Summary
+Asynchronous context managers and generators are powerful tools in Python that enhance the efficiency and readability 
+of asynchronous code. By using 'async with' for resource management and 'async for' for iteration, you can write more performant and maintainable asynchronous 
+programs.
diff --git a/contrib/advanced-python/index.md b/contrib/advanced-python/index.md
index 387ffd3..b7de6e2 100644
--- a/contrib/advanced-python/index.md
+++ b/contrib/advanced-python/index.md
@@ -19,3 +19,4 @@
 - [List Comprehension](list-comprehension.md)
 - [Eval Function](eval_function.md)
 - [Magic Methods](magic-methods.md)
+- [Asynchronous Context Managers & Generators](asynchronous-context-managers-generators.md)