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这本典型的数据结构课程，介绍了基本的数据结构和算法的集合，可以使用任何不同的编程语言进行教学。近年来，越来越多的学院开始采用Python语言向学生介绍编程和问题解决。与c++和Java等其他语言相比，Python提供了一些优势，其中最重要的是Python有一个简单的语法，更容易学习。本书通过为数据结构课程提供以Python为中心的文本，扩展了Python的使用。该语言干净的语法和强大的特性贯穿始终，但这些特性的底层机制也得到了充分的探索，不仅揭示了“魔力”，而且研究了它们的总体效率。正文由14章和4个附录组成。前四章介绍了与抽象数据类型、数据结构和算法相关的基本概念。后面的章节将在这些早期概念的基础上介绍更高级的主题，并向学生介绍更多的抽象数据类型和更高级的数据结构。这本书包含了几个主题的线索，在整个文本中，主题是重新访问在不同的章节作为适当的。
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Data Structures and Algorithms Using Python
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Since its conception, digital synthesis has significantly influenced the advancement of music, leading to new genres and production styles. Through existing synthesis techniques, one can recreate naturally occurring sounds as well as generate innovative artificial timbres. However, research in audio technology continues to pursue new methods of synthesizing sounds, keeping the transformation of music constant. This research attempts to formulate the framework of a new synthesis technique by redefining the popular Proportional-Integral-Derivative (PID) algorithm used in feedback-based process control. The framework is then implemented as a Python application to study the available control parameters and their effect on the synthesized output. Further, applications of this technique as an audio signal and LFO generator, including its potentiality as an alternative to FM and Wavetable synthesis techniques, are studied in detail. The research concludes by highlighting some of the imperfections in the current framework and the possible research directions to be considered to address them.
