Python: Fix some Python portions of README. (#7956)

### Motivation and Context

There are some Python related sections in the README that need
improvement.

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### Description

In the README, point to the Python code pivot for "getting started with
Python." Add the Python API reference link instead of "coming soon."

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### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄

README.md

@@ -2,14 +2,15 @@
 
 ## Status
 
- - Python <br/>
-[![Python package](https://img.shields.io/pypi/v/semantic-kernel)](https://pypi.org/project/semantic-kernel/)
- - .NET <br/>
-[![Nuget package](https://img.shields.io/nuget/vpre/Microsoft.SemanticKernel)](https://www.nuget.org/packages/Microsoft.SemanticKernel/)[![dotnet Docker](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-docker.yml/badge.svg?branch=main)](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-docker.yml)[![dotnet Windows](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-windows.yml/badge.svg?branch=main)](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-windows.yml)
- - Java <br/>
-[![Java CICD Builds](https://github.com/microsoft/semantic-kernel/actions/workflows/java-build.yml/badge.svg?branch=java-development)](https://github.com/microsoft/semantic-kernel/actions/workflows/java-build.yml)[![Maven Central](https://maven-badges.herokuapp.com/maven-central/com.microsoft.semantic-kernel/semantickernel-api/badge.svg)](https://maven-badges.herokuapp.com/maven-central/com.microsoft.semantic-kernel/semantickernel-api)
+- Python <br/>
+  [![Python package](https://img.shields.io/pypi/v/semantic-kernel)](https://pypi.org/project/semantic-kernel/)
+- .NET <br/>
+  [![Nuget package](https://img.shields.io/nuget/vpre/Microsoft.SemanticKernel)](https://www.nuget.org/packages/Microsoft.SemanticKernel/)[![dotnet Docker](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-docker.yml/badge.svg?branch=main)](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-docker.yml)[![dotnet Windows](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-windows.yml/badge.svg?branch=main)](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-windows.yml)
+- Java <br/>
+  [![Java CICD Builds](https://github.com/microsoft/semantic-kernel/actions/workflows/java-build.yml/badge.svg?branch=java-development)](https://github.com/microsoft/semantic-kernel/actions/workflows/java-build.yml)[![Maven Central](https://maven-badges.herokuapp.com/maven-central/com.microsoft.semantic-kernel/semantickernel-api/badge.svg)](https://maven-badges.herokuapp.com/maven-central/com.microsoft.semantic-kernel/semantickernel-api)
 
 ## Overview
+
 [![License: MIT](https://img.shields.io/github/license/microsoft/semantic-kernel)](https://github.com/microsoft/semantic-kernel/blob/main/LICENSE)
 [![Discord](https://img.shields.io/discord/1063152441819942922?label=Discord&logo=discord&logoColor=white&color=d82679)](https://aka.ms/SKDiscord)
 
@@ -29,8 +30,8 @@ plugins with AI. With Semantic Kernel
 can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards,
 Semantic Kernel will execute the plan for the user.
 
-
 It provides:
+
 - abstractions for AI services (such as chat, text to images, audio to text, etc.) and memory stores
 - implementations of those abstractions for services from [OpenAI](https://platform.openai.com/docs/introduction), [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service), [Hugging Face](https://huggingface.co/), local models, and more, and for a multitude of vector databases, such as those from [Chroma](https://docs.trychroma.com/getting-started), [Qdrant](https://qdrant.tech/), [Milvus](https://milvus.io/), and [Azure](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search)
 - a common representation for [plugins](https://learn.microsoft.com/en-us/semantic-kernel/ai-orchestration/plugins), which can then be orchestrated automatically by AI
@@ -86,9 +87,9 @@ from either OpenAI or Azure OpenAI and to run one of the C#, Python, and Java co
 
 ### For Python:
 
-1. Go to the Quick start page [here](https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide?pivots=programming-language-csharp) and follow the steps to dive in.
+1. Go to the Quick start page [here](https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide?pivots=programming-language-python) and follow the steps to dive in.
 2. You'll need to ensure that you toggle to C# in the the Choose a programming language table at the top of the page.
- ![csharpmap](https://learn.microsoft.com/en-us/semantic-kernel/media/pythonmap.png)
+   ![pythonmap](https://learn.microsoft.com/en-us/semantic-kernel/media/pythonmap.png)
 
 ### For Java:
 
@@ -117,10 +118,11 @@ on our Learn site. Each sample comes with a completed C# and Python project that
 Finally, refer to our API references for more details on the C# and Python APIs:
 
 - [C# API reference](https://learn.microsoft.com/en-us/dotnet/api/microsoft.semantickernel?view=semantic-kernel-dotnet)
-- Python API reference (coming soon)
+- [Python API reference](https://learn.microsoft.com/en-us/python/api/semantic-kernel/semantic_kernel?view=semantic-kernel-python)
 - Java API reference (coming soon)
 
 ## Visual Studio Code extension: design semantic functions with ease
+
 The Semantic Kernel extension for Visual Studio Code makes it easy to design and test semantic functions. The extension provides an interface for designing semantic functions and allows you to test them with the push of a button with your existing models and data.
 
 ## Join the community