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Functional Python programming : use a functional approach to write succinct, expressive, and efficient Python code

by Lott, Steven F.
Year of Publication 2022

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Introduction to adaptive arrays

by Monzingo, Robert A., 1938-, Haupt, Randy L., Miller, Thomas W.
Year of Publication 2011

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Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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Phased-array radar design : application of radar fundamentals

by Jeffrey, Tom, 1954-
Year of Publication 2009

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Probe suppression in conformal phased array

by Singh, Hema, Dutta, Mausumi, Neethu, P. S.
Year of Publication 2016

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Artificial intelligence with python cookbook : proven recipes for applying ai algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

by Auffarth, Ben
Year of Publication 2020

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Theory and applications of spherical microphone array processing

by Jarrett, Daniel P., Habets, Emanuël A. P., Naylor, Patrick A.
Year of Publication 2017

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A Practical Approach to Data Structures and Algorithms.

by Pahuja, Sanjay
Year of Publication 2009

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Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

by Lanaro, Gabriele, Nguyen, Quan, Kasampalis, Sakis
Year of Publication 2019

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QGIS Python programming cookbook : master over 170 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

by Lawhead, Joel
Year of Publication 2017

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Learning GeoSpatial analysis with Python : an effective guide to geographic information system and remote sensing analysis using Python 3

by Lawhead, Joel
Year of Publication 2015

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Reconfigurable computing the theory and practice of FPGA-based computation

Year of Publication 2008

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Reconfigurable computing : the theory and practice of FPGA-based computation

Year of Publication 2008

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Deep Learning for Beginners

by Rivas, Dr. Pablo
Year of Publication 2020

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FPGA-based digital convolution for wireless applications

by Guan, Lei
Year of Publication 2017

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Machine Learning with Spark and Python, 2nd Edition

by Bowles, Michael
Year of Publication 2019

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Applied univariate, bivariate, and multivariate statistics using Python

by Denis, Daniel J., 1974-
Year of Publication 2021

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Foundations of Blockchain : the pathway to cryptocurrencies and decentralized blockchain applications

by Raj, Koshik
Year of Publication 2019

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Applied data science using Pyspark : learn the end-to-end predictive model-building cycle

by Kakarla, Ramcharan
Year of Publication 2021

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Hands-On Vision and Behavior for Self-Driving Cars : Explore Visual Perception, Lane Detection, and Object Classification with Python 3 and OpenCV 4.

by Venturi, Luca
Year of Publication 2020

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