Grokking Algorithms
Aditya Bhargava
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Graph Algorithms for Data Science
Tomaz Bratanic
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A Second Course in Probability
Sheldon M. (University of Southern California) Ross
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Pearls of Algorithm Engineering
Paolo (Universita di Pisa) Ferragina
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The Enterprise Big Data Framework : Building Critical Capabilities to Win in the Data Economy
Jan-Willem Middelburg
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Working with Network Data : A Data Science Perspective
James (University of Vermont) Bagrow
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Blockchain-based Cyber Security : Applications and Paradigms
Kaushal (Pandit Deendayal Energy University, India) Shah
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Java Coding Problems : Become an expert Java programmer by solving over 250 brand-new, modern, real-world problems
Anghel Leonard
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Quantum Computing and Information : A Scaffolding Approach
Peter Lee
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Network Science
Albert-Laszlo (Northeastern University, Boston) Barabasi
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Computational Geometry in C
Joseph (Olin Professor of Computer Science, Smith College, M O'Rourke
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Learning Spark
Jules Damji
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Making Music with Computers : Creative Programming in Python
Bill Manaris
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Python for Algorithmic Trading : From Idea to Cloud Deployment
Yves Hilpisch
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High Performance Python : Practical Performant Programming for Humans
Micha Gorelick
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Algorithms and Data Structures in Action
Marcello La Rocca
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Grokking Artificial Intelligence Algorithms
Rishal Hurbans
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Data-Driven Modeling & Scientific Computation : Methods for Complex Systems & Big Data
J. Nathan (Professor of Applied Mathematics, University of Washi Kutz
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Probability and Computing : Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Michael (Harvard University, Massachusetts) Mitzenmacher
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Fighting Churn with Data
Carl Gold
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Graph Algorithms : Practical Examples in Apache Spark and Neo4j
Amy Hodler
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