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Principles of Data Science

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Quantum Programming in Depth

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Deep Learning with TensorFlow and Keras

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Applications of Combinatorial Matrix Theory to Laplacian Matrices of Graphs

Algorithm Engineering for Integral and Dynamic Problems

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Considerations on the AI Endgame

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Applied Computational Thinking with Python

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Nonlinear Analysis and Computational Techniques

Number Theory

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The Object-Oriented Approach to Problem Solving and Machine Learning with Python

Dynamics of Entire Functions

Statistical Modeling and Robust Inference for One-shot Devices

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Algebraic Topology

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Python for Algorithmic Trading Cookbook

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The Complete Coding Interview Guide in Java

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