Add notebook for pythonic bundle access (#1501)

Fixes #1502 .

### Description
In this PR, we'll explore how to access a bundle in Python and use it in
your own application which cover the following topics:
1. Downloading the Bundle
2. Creating a `BundleWorkflow`
3. Getting Properties from the Bundle
4. Using Pretrained Weights from the Bundle
5. Updating Properties
6. Using Components in Your Own Pipeline

### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Avoid including large-size files in the PR.
- [x] Clean up long text outputs from code cells in the notebook.
- [x] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [x] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [x] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`

---------

Signed-off-by: KumoLiu <yunl@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: KumoLiu

bundle/pythonic_usage_guidance/README.md

@@ -0,0 +1,39 @@
+# Pythonic Bundle Access Tutorial
+
+A MONAI bundle contains the stored weights of a model, training, inference, post-processing transform sequences and other information. This tutorial aims to explore how to access a bundle in Python and use it in your own application. We'll cover the following topics:
+1. Downloading the Bundle.
+2. Creating a `BundleWorkflow`.
+3. Getting Properties from the Bundle.
+4. Updating Properties.
+5. Using Components in Your Own Pipeline.
+6. Utilizing Pretrained Weights from the Bundle.
+7. A Simple Comparison of the Usage between `ConfigParser` and `BundleWorkflow`.
+
+The example training dataset is Task09_Spleen.tar from http://medicaldecathlon.com/.
+
+## Requirements
+
+The script is tested with:
+
+- `Ubuntu 20.04` | `Python 3.8.10` | `CUDA 12.2` | `Pytorch 1.13.1`
+
+- it is tested on 24gb single-gpu machine
+
+## Dependencies and installation
+
+### MONAI
+
+You can conda environments to install the dependencies.
+
+or you can just use MONAI docker.
+```bash
+docker pull projectmonai/monai:latest
+```
+
+For more information please check out [the installation guide](https://docs.monai.io/en/latest/installation.html).
+
+## Questions and bugs
+
+- For questions relating to the use of MONAI, please use our [Discussions tab](https://github.com/Project-MONAI/MONAI/discussions) on the main repository of MONAI.
+- For bugs relating to MONAI functionality, please create an issue on the [main repository](https://github.com/Project-MONAI/MONAI/issues).
+- For bugs relating to the running of a tutorial, please create an issue in [this repository](https://github.com/Project-MONAI/Tutorials/issues).