Structure and Interpretation of Computer Programs （second edition） 麻省理工官方网页版全本，下载解压即可通过浏览器浏览，高清无水印，绝对准确无误。本书的好就不多说了，用来学习绝对没问题。

用Python清理代码 书 列出的示例的源代码在book/src 。 EuroPython 2016演讲 演讲的来源，如在EuroPython 2016上发表的。 演讲的源代码在talk/src 。

Build four complete Android apps from scratch using Kotlin! Android Apprentice is our book for complete beginners to Android development.

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Introduction to Algorithms, Second Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein ISBN:0262032937 The MIT Press © 2001 (1180 pages) A course in computer algorithms, suitable for use as a field reference for working software developers. Table of Contents Introduction to Algorithms, Second Edition Preface Part I - Foundations Chapter 1 - The Role of Algorithms in Computing Chapter 2 - Getting Started Chapter 3 - Growth of Functions Chapter 4 - Recurrences Chapter 5 - Probabilistic Analysis and Randomized Algorithms Part II - Sorting and Order Statistics Chapter 6 - Heapsort Chapter 7 - Quicksort Chapter 8 - Sorting in Linear Time Chapter 9 - Medians and Order Statistics Part III - Data Structures Chapter 10 - Elementary Data Structures Chapter 11 - Hash Tables Chapter 12 - Binary Search Trees Chapter 13 - Red-Black Trees Chapter 14 - Augmenting Data Structures Part IV - Advanced Design and Analysis Techniques Chapter 15 - Dynamic Programming Chapter 16 - Greedy Algorithms Chapter 17 - Amortized Analysis Part V - Advanced Data Structures Chapter 18 - B-Trees Chapter 19 - Binomial Heaps Chapter 20 - Fibonacci Heaps Chapter 21 - Data Structures for Disjoint Sets Part VI - Graph Algorithms Chapter 22 - Elementary Graph Algorithms Chapter 23 - Minimum Spanning Trees Chapter 24 - Single-Source Shortest Paths Chapter 25 - All-Pairs Shortest Paths Chapter 26 - Maximum Flow Part VII - Selected Topics Chapter 27 - Sorting Networks Chapter 28 - Matrix Operations Chapter 29 - Linear Programming Chapter 30 - Polynomials and the FFT Chapter 31 - Number-Theoretic Algorithms Chapter 32 - String Matching Chapter 33 - Computational Geometry Chapter 34 - NP-Completeness Chapter 35 - Approximation Algorithms Part VIII - Appendix: Mathematical Background Appendix A - Summations Appendix B - Sets, Etc. Appendix C - Counting and Probability Bibliography Index List of Figures List of Corollaries List of Problems List of Exercises

ADO.NET and ADO Examples and Best Practices for VB Programmers, Second Edition brings the popular first edition up to date with fresh insights and tips on COM-based ADOand adds a voluminous section on the new ADO.NET technology. Written specifically for COM-based ADO developers retooling for ADO.NET, this is a developer's book, packed with practical advice on how to make code run faster, yet be easier to write and understand.

《 Python手册中的生物信息学》，第二版 这是Packt发行的代码库。 了解如何使用现代Python生物信息学库和应用程序进行计算生物学的前沿研究 这本书是关于什么的？ 生物信息学是一个活跃的研究领域，它使用一系列简单而先进的计算来从生物数据中提取有价值的信息。 本书涵盖了下一代测序，基因组学，宏基因组学，种群遗传学，系统发育学和蛋白质组学。 您将学习现代的编程技术来分析大量的生物学数据。 借助实际示例，您将使用各种Python工具和库来转换，分析和可视化数据集。 本书涵盖以下激动人心的功能： 了解如何处理大型下一代测序（NGS）数据集 使用FASTQ，BAM和VCF格式处理基因组数据集 学习进行序列比较和系统发育重建 使用Protemics数据执行复杂的分析 使用Python与Galaxy服务器进行交互 如果您觉得这本书适合您，请立即获取！ 说明和导航 所有代码都组织在文件

Head First Servlets & JSP, Second Edition原版书上代码，适合初学者

Python是一种面向对象、解释型计算机程序设计语言，其应用领域非常广泛，包括数据分析、自然语言处理、机器学习、科学计算以及推荐系统构建等。 本书用Python语言来讲解算法的分析和设计。本书主要关注经典的算法，但同时会为读者理解基本算法问题和解决问题打下很好的基础。