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276. Deep Generative Modeling
by Jakub M. Tomczak
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277. Explorations in Monte Carlo Methods
by Ronald W. Shonkwiler; Franklin Mendivil
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2024, Springer Nature
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278. Deep Reinforcement Learning With Python
by Nimish Sanghi
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2024, Springer Nature
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279. Programming Language Explorations
by Ray Toal; Sage Strieker; Marco Berardini
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2024, Taylor & Francis
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280. Mapmatics: A Mathematician's Guide to Navigating the World
by Rowi ska, Paulina
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281. Math Hacks for Scratch
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2024, Random House LLC US
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282. Mapmatics: A Mathematician's Guide to Navigating the World
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283. Guide to Software Verification With Frama-C
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284. Introduction to Data Science
by Laura Igual; Santi Seguí
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285. Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
by Johansson, Robert
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286. Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
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287. Math Hacks for Scratch: Unlock the Power of Math With Scratch Programming
by Mays, Michael
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288. Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
by Johansson, Robert
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289. Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (English Edition)
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290. Numerical Python
by Robert Johansson
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2024, Springer Nature
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291. Python Programming for Mathematics
by Julien Guillod
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292. Object Oriented Data Analysis
by J. S. Marron; Ian L. Dryden
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293. Flows in Networks
by Ford, Lester Randolph, and Fulkerson, D R, and Bland, Robert G (Foreword by)
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294. Flows in Networks
by Ford, Lester Randolph
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2024, Princeton University Press
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295. Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
by Johansson, Robert
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