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Introduction to Computation and Programming Using Python: With Application to Understanding Data. The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. Introduction 357 15 Dynamic Programming 359 15.1 Rod cutting 360 15.2 Matrix-chain multiplication 370 15.3 Elements of dynamic programming 378 15.4 Longest common subsequence 390 15.5 Optimal binary search trees 397 16 Greedy Algorithms 414 16.1 An activity-selection problem 415 16.2 Elements of the greedy strategy 423 16.3 Huffman codes 428 472 pages.MIT Press, 2016. Posted by 29 days ago. 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. This shopping feature will continue to load items when the Enter key is pressed. Download this E-Book Now. 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Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines. 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. MIT Press, Aug 12, 2016 - Computers - 447 pages. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Introduction to Computation and Programming Using Python: With Application to Understanding Data (MIT Press) by John V. 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