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● Computer science and programming practice learning goals, review questions, programming exercises in every chapter
● Algorithmic hypothesis and advanced and introductory data structures and algorithm topics
● The concept of computational complexity that shows what can and can't be computed so programmers can make sound judgments regarding the algorithms they use
● Programming methods that show the ideas and methods needed in developing software
● Python software and Python language ideas and methods needed in developing software
● And much more like machine learning, performance metrics, and technical indicators
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