simple example and whylog divider, regrouping integrations table

README.md

@@ -26,23 +26,19 @@ This is a Python implementation of whylogs. The Java implementation can be found
 If you have any questions, comments, or just want to hang out with us, please join [our Slack channel](http://join.slack.whylabs.ai/).
 
 
-_____________
-Latest release: 0.4.5
-
-_____________
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="300"> 
+<!-- <img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="300"> -->
 
 
 - [Getting started](#getting-started)
 - [Features](#features)
 - [Data Types](#data-types)
-- [Examples](#examples)
 - [Integrations](#integrations)
 - [Community](#community)
 - [Roadmap](#roadmap)
 - [Contribute](#contribute)
 
 
-
 ## Getting started<a name="getting-started" />
 
 
@@ -58,15 +54,41 @@ pip install whylogs
 
 - Download the source code by cloning the repository or by pressing [Download ZIP](https://github.com/whylabs/whylogs-python/archive/master.zip) on this page. 
 
-- Install [poetry](https://python-poetry.org/docs/#installation) for package management
+- You'll need to install poetry in order to install dependencies using the lock file in this project. Follow [their docs](https://python-poetry.org/docs/) to get it set up.
 
-- Then running:
+- Run the following comand at the root of the source code:
 
 ```
 make install
 make
 ```
 
+## Quickly Logging Data
+
+whylogs is easy to get up and runnings
+
+```python
+from whylogs import get_or_create_session
+import pandas as pd
+
+session = get_or_create_session()
+
+df = pd.read_csv("path/to/file.csv")
+
+with session.logger(dataset_name="my_dataset") as logger:
+
+    #dataframe
+    logger.log_dataframe(df)
+
+    #dict
+    logger.log({"name": 1})
+
+    #images
+    logger.log_images("path/to/image.png")
+```
+
+Check the examples below for visualization and other use cases
+
 ### Documentation 
 
 The [documentation](https://docs.whylabs.ai/docs/) of this package is generated automatically. 
@@ -88,31 +110,29 @@ Whylogs supports both structured and unstructured data, specifically:
 | --- | --- | ---|
 |Structured data | Distribution, cardinality, schema, counts, missing values | [Getting started with structure data](https://github.com/whylabs/whylogs-examples/blob/mainline/python/GettingStarted.ipynb) | 
 | Images | exif metadata, derived pixels features,  bounding boxes | [Getting started with images](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Logging_Images.ipynb) |
-|Video  | In development  | [Github Issue #214](https://github.com/whylabs/whylogs/issues/214) | 
-| Tensors | derived 1d features (more in developement) |  [Github Issue #216](https://github.com/whylabs/whylogs/issues/216) |
-| Embeddings | derived 1d features (more in developement) |  |
-| Text | top k values, counts, cardinality (more in developement) | [Github Issue #213](https://github.com/whylabs/whylogs/issues/213)|
+| Video  | In development  | [Github Issue #214](https://github.com/whylabs/whylogs/issues/214) |
+| Tensors | derived 1d features (more in developement) | [Github Issue #216](https://github.com/whylabs/whylogs/issues/216) |
+| Text | top k values, counts, cardinality (more in developement) | [Github Issue #213](https://github.com/whylabs/whylogs/issues/213) |
 | Audio | In developement | [Github Issue #212](https://github.com/whylabs/whylogs/issues/212) | 
 
 
 ## Integrations
 
 ![current integration](images/integrations.001.png)
 
-| Integration | Features | Notebook | Blog Post |
-| --- | --- | ---  | --- | 
-| Spark | Log and monitor any Spark dataframe | | | 
-| Pandas | Log and monitor any pandas dataframe | [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/logging_example.ipynb) | [whylogs: Embrace Data Logging](https://whylabs.ai/blog/posts/whylogs-embrace-data-logging) |
-| Kafka | Log and monitor Kafka topics with whylogs| [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Kafka.ipynb) | [Integrating whylogs into your Kafka ML Pipeline](https://whylabs.ai/blog/posts/integrating-whylogs-into-your-kafka-ml-pipeline) |
-| MLflow | Enhance MLflow metrics with whylogs:  | [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/MLFlow%20Integration%20Example.ipynb) | [Streamlining data monitoring with whylogs and MLflow](https://whylabs.ai/blog/posts/on-model-lifecycle-and-monitoring) |
-| Github actions | Unit test data with whylogs and github actions| [Notebook Example](https://github.com/whylabs/whylogs-examples/tree/mainline/github-actions) | |
-| RAPIDS |  Use whylogs in RAPIDS environment | [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/RAPIDS%20GPU%20Integration%20Example.ipynb)| [Monitoring High-Performance Machine Learning Models with RAPIDS and whylogs](https://whylabs.ai/blog/posts/monitoring-high-performance-machine-learning-models-with-rapids-and-whylogs) |
-| Java | Run whylogs in Java environment| [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/java/demo1/src/main/java/com/whylogs/examples/WhyLogsDemo.java) | |
-| Scala | Run whylogs in Scala environment|  [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/scala/src/main/scala/WhyLogsDemo.scala) | |
-| Docker | Run whylogs as in Docker |  | |
-| AWS S3 |  Store whylogs profiles in S3 | [S3 example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/S3%20example.ipynb)
+| Integration | Features | Resources |
+| --- | --- | ---  | 
+| Spark | Log and monitor any Spark dataframe | |
+| Pandas | Log and monitor any pandas dataframe |  <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/logging_example.ipynb)</li><li>[whylogs: Embrace Data Logging](https://whylabs.ai/blog/posts/whylogs-embrace-data-logging)</li></ul>  |
+| Kafka | Log and monitor Kafka topics with whylogs| <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Kafka.ipynb)</li><li> [Integrating whylogs into your Kafka ML Pipeline](https://whylabs.ai/blog/posts/integrating-whylogs-into-your-kafka-ml-pipeline) </li></ul>|
+| MLflow | Enhance MLflow metrics with whylogs:  | <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/MLFlow%20Integration%20Example.ipynb)</li><li>[Streamlining data monitoring with whylogs and MLflow](https://whylabs.ai/blog/posts/on-model-lifecycle-and-monitoring)</li></ul> |
+| Github actions | Unit test data with whylogs and github actions| <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/tree/mainline/github-actions)</li></ul> |
+| RAPIDS |  Use whylogs in RAPIDS environment | <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/RAPIDS%20GPU%20Integration%20Example.ipynb)</li><li>[Monitoring High-Performance Machine Learning Models with RAPIDS and whylogs](https://whylabs.ai/blog/posts/monitoring-high-performance-machine-learning-models-with-rapids-and-whylogs)</li></ul> |
+| Java | Run whylogs in Java environment| <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/java/demo1/src/main/java/com/whylogs/examples/WhyLogsDemo.java)</li></ul>  |
+| Scala | Run whylogs in Scala environment|  <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/scala/src/main/scala/WhyLogsDemo.scala)</li></ul> | 
+| Docker | Run whylogs as in Docker |  |
+| AWS S3 |  Store whylogs profiles in S3 | <ul><li>[S3 example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/S3%20example.ipynb)</li></ul>
 
-
 ## Roadmap
 
 whylogs is maintained by [WhyLabs](https://whylabs.ai).
@@ -124,7 +144,7 @@ If you have any questions, comments, or just want to hang out with us, please jo
 
 ## Contribute
 
-For more information on contributing to whylogs, see [DEVELOPMENT.md](https://github.com/whylabs/whylogs/blob/mainline/DEVELOPMENT.md).
+We welcome contributions to whylogs. Please see our [developement guide](https://github.com/whylabs/whylogs/blob/mainline/DEVELOPMENT.md) for details.