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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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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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Numerical Methods Using Java : For Data Science, Analysis, and Engineering
by
Li, Haksun
Year of Publication
2022
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Phased-array radar design : application of radar fundamentals
by
Jeffrey, Tom, 1954-
Year of Publication
2009
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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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An Introduction to Numerical Methods : a MATLAB Approach, Fourth Edition
by
Kharab, Abdelwahab
,
Guenther, Ronald B.
Year of Publication
2018
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Algorithms and data structures : an approach in C
by
Bowman, Charles F.
Year of Publication
1994
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Advances in Metaheuristic Algorithms for Optimal Design of Structures
by
Kaveh, A. 1948-
Year of Publication
2016
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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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Python machine learning
by
Lee, Wei-Meng
Year of Publication
2019
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Numerical methods for scientists and engineers
by
Hamming, R. W. 1915-1998
Year of Publication
1986
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Fundamentals of numerical reservoir simulation
by
Peaceman, Donald W. 1926-
Year of Publication
1977
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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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Algorithms for worst-case design and applications to risk management
by
Rustem, Berc
Year of Publication
2002
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Deep Learning for Beginners
by
Rivas, Dr. Pablo
Year of Publication
2020
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Introduction to GIS programming and fundamentals with Python and ArcGIS
by
Yang, Chaowei
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2017
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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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Machine Learning with Spark and Python, 2nd Edition
by
Bowles, Michael
Year of Publication
2019
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