Python: Move notebooks into language folders (microsoft#2368)

### Motivation and Context
In an effort to move all samples to their respective language folder,
I've moved all of the notebooks to the correct language folder.


### Contribution Checklist

- [ ] The code builds clean without any errors or warnings
- [ ] 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
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄

Author: madsbolaris

README.md

@@ -132,8 +132,8 @@ Getting Semantic Kernel deployed to Azure as web app service is easy with one-cl
 For a more hands-on overview, you can also check out the C# and Python Jupyter notebooks, starting
 from here:
 
-- [Getting Started with C# notebook](samples/notebooks/dotnet/00-getting-started.ipynb)
-- [Getting Started with Python notebook](samples/notebooks/python/00-getting-started.ipynb)
+- [Getting Started with C# notebook](dotnet/notebooks/00-getting-started.ipynb)
+- [Getting Started with Python notebook](python/notebooks/00-getting-started.ipynb)
 
 **Requirements:** C# notebooks require [.NET 7](https://dotnet.microsoft.com/download)
 and the VS Code [Polyglot extension](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.dotnet-interactive-vscode).

dotnet/README.md

@@ -101,18 +101,18 @@ Console.WriteLine(output);
 The repository contains also a few C# Jupyter notebooks that demonstrates
 how to get started with the Semantic Kernel.
 
-See [here](../samples/notebooks/dotnet/README.md) for the full list, with
+See [here](./notebooks/README.md) for the full list, with
 requirements and setup instructions.
 
-1. [Getting started](../samples/notebooks//dotnet/00-getting-started.ipynb)
-2. [Loading and configuring Semantic Kernel](../samples/notebooks//dotnet/01-basic-loading-the-kernel.ipynb)
-3. [Running AI prompts from file](../samples/notebooks//dotnet/02-running-prompts-from-file.ipynb)
-4. [Creating Semantic Functions at runtime (i.e. inline functions)](../samples/notebooks//dotnet/03-semantic-function-inline.ipynb)
-5. [Using Context Variables to Build a Chat Experience](../samples/notebooks//dotnet/04-context-variables-chat.ipynb)
-6. [Creating and Executing Plans](../samples/notebooks//dotnet/05-using-the-planner.ipynb)
-7. [Building Memory with Embeddings](../samples/notebooks//dotnet/06-memory-and-embeddings.ipynb)
-8. [Creating images with DALL-E 2](../samples/notebooks//dotnet/07-DALL-E-2.ipynb)
-9. [Chatting with ChatGPT and Images](../samples/notebooks//dotnet/08-chatGPT-with-DALL-E-2.ipynb)
+1. [Getting started](./notebooks/00-getting-started.ipynb)
+2. [Loading and configuring Semantic Kernel](./notebooks/01-basic-loading-the-kernel.ipynb)
+3. [Running AI prompts from file](./notebooks/02-running-prompts-from-file.ipynb)
+4. [Creating Semantic Functions at runtime (i.e. inline functions)](./notebooks/03-semantic-function-inline.ipynb)
+5. [Using Context Variables to Build a Chat Experience](./notebooks/04-context-variables-chat.ipynb)
+6. [Creating and Executing Plans](./notebooks/05-using-the-planner.ipynb)
+7. [Building Memory with Embeddings](./notebooks/06-memory-and-embeddings.ipynb)
+8. [Creating images with DALL-E 2](./notebooks/07-DALL-E-2.ipynb)
+9. [Chatting with ChatGPT and Images](./notebooks/08-chatGPT-with-DALL-E-2.ipynb)
 
 # Nuget packages
 
@@ -121,20 +121,20 @@ more features, such as connectors to services and Skills to perform specific act
 Unless you need to optimize which packages to include in your app, you will usually
 start by installing this meta-package first:
 
-* **Microsoft.SemanticKernel**
+- **Microsoft.SemanticKernel**
 
 This meta package includes core packages and OpenAI connectors, allowing to run
 most samples and build apps with OpenAI and Azure OpenAI.
 
 Packages included in **Microsoft.SemanticKernel**:
 
 1. **Microsoft.SemanticKernel.Abstractions**: contains common interfaces and classes
-  used by the core and other SK components.
+   used by the core and other SK components.
 1. **Microsoft.SemanticKernel.Core**: contains the core logic of SK, such as prompt
-  engineering, semantic memory and semantic functions definition and orchestration.
+   engineering, semantic memory and semantic functions definition and orchestration.
 1. **Microsoft.SemanticKernel.Connectors.AI.OpenAI**: connectors to OpenAI and Azure
-  OpenAI, allowing to run semantic functions, chats, image generation with GPT3,
-  GPT3.5, GPT4, DALL-E2. Includes also GPT tokenizers.
+   OpenAI, allowing to run semantic functions, chats, image generation with GPT3,
+   GPT3.5, GPT4, DALL-E2. Includes also GPT tokenizers.
 
 Other SK packages available at nuget.org:
 
@@ -148,4 +148,4 @@ Other SK packages available at nuget.org:
    tenant data, schedule meetings, send emails, etc.
 5. **Microsoft.SemanticKernel.Skills.OpenAPI**: OpenAPI skill.
 6. **Microsoft.SemanticKernel.Skills.Web**: Web Skill: search the web, download
-   files, etc.
+   files, etc.

samples/notebooks/dotnet/0-AI-settings.ipynb renamed to dotnet/notebooks/0-AI-settings.ipynb

@@ -137,7 +137,7 @@
    "outputs": [],
    "source": [
     "// Load the Skills Directory\n",
-    "var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"skills\");\n",
+    "var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"samples\", \"skills\");\n",
     "\n",
     "// Load the FunSkill from the Skills Directory\n",
     "var funSkillFunctions = kernel.ImportSemanticSkillFromDirectory(skillsDirectory, \"FunSkill\");\n",

samples/notebooks/dotnet/00-getting-started.ipynb renamed to dotnet/notebooks/00-getting-started.ipynb

@@ -79,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "dotnet_interactive": {
      "language": "csharp"
@@ -118,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "dotnet_interactive": {
      "language": "csharp"
@@ -130,7 +130,7 @@
    "outputs": [],
    "source": [
     "// note: using skills from the repo\n",
-    "var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"skills\");\n",
+    "var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"samples\", \"skills\");\n",
     "\n",
     "var funSkillFunctions = kernel.ImportSemanticSkillFromDirectory(skillsDirectory, \"FunSkill\");"
    ]
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "dotnet_interactive": {
      "language": "csharp"

samples/notebooks/dotnet/01-basic-loading-the-kernel.ipynb renamed to dotnet/notebooks/01-basic-loading-the-kernel.ipynb

@@ -97,7 +97,7 @@
    },
    "outputs": [],
    "source": [
-    "var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"skills\");\n",
+    "var skillsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"samples\", \"skills\");\n",
     "kernel.ImportSemanticSkillFromDirectory(skillsDirectory, \"SummarizeSkill\");\n",
     "kernel.ImportSemanticSkillFromDirectory(skillsDirectory, \"WriterSkill\");"
    ]

samples/notebooks/dotnet/02-running-prompts-from-file.ipynb renamed to dotnet/notebooks/02-running-prompts-from-file.ipynb

@@ -402,9 +402,9 @@
     "{\n",
     "    [\"https://github.com/microsoft/semantic-kernel/blob/main/README.md\"]\n",
     "        = \"README: Installation, getting started, and how to contribute\",\n",
-    "    [\"https://github.com/microsoft/semantic-kernel/blob/main/samples/notebooks/dotnet/02-running-prompts-from-file.ipynb\"]\n",
+    "    [\"https://github.com/microsoft/semantic-kernel/blob/main/dotnet/notebooks/02-running-prompts-from-file.ipynb\"]\n",
     "        = \"Jupyter notebook describing how to pass prompts from a file to a semantic skill or function\",\n",
-    "    [\"https://github.com/microsoft/semantic-kernel/blob/main/samples/notebooks/dotnet/00-getting-started.ipynb\"]\n",
+    "    [\"https://github.com/microsoft/semantic-kernel/blob/main/dotnet/notebooks/00-getting-started.ipynb\"]\n",
     "        = \"Jupyter notebook describing how to get started with the Semantic Kernel\",\n",
     "    [\"https://github.com/microsoft/semantic-kernel/tree/main/samples/skills/ChatSkill/ChatGPT\"]\n",
     "        = \"Sample demonstrating how to create a chat skill interfacing with ChatGPT\",\n",