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README.md

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 # P4D-Data-Sciences
 A collection of lightweight Python wrappers based on Python4Delphi simplifying Data Sciences development with Delphi
 
-Dependencies:
+This is an _early access preview_, but you are encouraged to try it out, file bug reports, and add features. [Read more](https://blogs.embarcadero.com/?p=145025) and catch the live stream.
+
+Currently includes:
+* Tensorflow
+* **NumPy** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NumPy)] Numerical library for working with large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these them. 
+* **PyTorch & PyTorch Vision** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch)] For computer vision and natural language processing applications.
+* **MatPlotLib** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/MatplotLib)] Library for creating static, animated, and interactive visualizations.
+* **Natural Language Toolkit (NLTK)** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NLTK) Suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English.
+* **OpenCV** - Library of programming functions mainly aimed at real-time computer vision
+* **Scikit-learn** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/ScikitLearn) Machine learning library that features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN.
+
+Most packages have basic samples, but PyTorch has a very involed [Transfer Learning demonstration](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch/PyTorchTransferLearning).
+
+## Dependencies:
+
+Please make sure the following are installed **_before_** installing this library
+
 * [Python4Delphi](https://github.com/Embarcadero/python4delphi)
 * [Lightweight-Python-Wrappers](https://github.com/Embarcadero/Lightweight-Python-Wrappers)
 * [PythonEnviroments](https://github.com/Embarcadero/PythonEnviroments)
 
-This is an early access preview, but you are encouraged to try it out, file bug reports, and add features. [Read more](https://blogs.embarcadero.com/?p=145025) and catch the live stream.