diff --git a/README.md b/README.md
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@@ -231,7 +231,9 @@ In this repository, I will share some useful notes and references about deployin
 - [TensorRTx - popular DL networks with tensorrt](https://github.com/wang-xinyu/tensorrtx)  
 - [Speeding up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT](https://devblogs.nvidia.com/speeding-up-deep-learning-inference-using-tensorflow-onnx-and-tensorrt/)  
 - [TensorRT Developer Guide](https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html)  
-- [How to Convert a Model from PyTorch to TensorRT and Speed Up Inference](https://www.learnopencv.com/how-to-convert-a-model-from-pytorch-to-tensorrt-and-speed-up-inference/) [_Good_]   
+- [How to Convert a Model from PyTorch to TensorRT and Speed Up Inference](https://www.learnopencv.com/how-to-convert-a-model-from-pytorch-to-tensorrt-and-speed-up-inference/) [_Good_]
+- [High Performance Python: Practical Performant Programming for Humans 1st Edition- book](https://www.amazon.com/High-Performance-Python-Performant-Programming/dp/1449361595)
+   
 
 ## Hardware Notes for Deep Learning:  
 - [Hardware for Deep Learning](https://blog.inten.to/hardware-for-deep-learning-part-3-gpu-8906c1644664)