In this book, we have systematically explored a wide array of deep learning techniques for point cloud processing, encompassing fundamental principles, advanced methodologies, and real-world applications. Beginning with the basics of point cloud representation and acquisition, we have progressively introduced sophisticated approaches for local feature learning, registration, object detection, segmentation, and completion. Each chapter has been structured to build upon the previous one, ensuring a coherent and comprehensive understanding of the challenges and complexities involved in 3D point cloud processing.