/cs_books

Computer science books Recommended by AzatAI. (Education ONLY)

Primary LanguagePython

List of the Books

  1. 逻辑的引擎.pdf
  2. GitNotesForProfessionals.pdf
  3. Head First HTML and CSS - 2nd Ed.pdf
  4. DesignPatterns.pdf
  5. 01-01-cn-default计算机系统要素：从零开始构建现代计算机.pdf
  6. concepts of programming languages.pdf
  7. Machine Learning with Python Cookbook (en).pdf
  8. AIM-379.pdf
  9. ALGORITHMIC information theory.pdf
  10. mi-normalized.pdf
  11. LaTeXNotesForProfessionals.pdf
  12. Biopython Tutorial and Cookbook (en).pdf
  13. LinuxNotesForProfessionals.pdf
  14. Impractical Python Project (en).pdf
  15. SQLNotesForProfessionals.pdf
  16. bayesian spectrum analysis and parameter estimation.pdf
  17. A Framework for Representing Knowledge.pdf
  18. PythonNotesForProfessionals.pdf
  19. t-y-scheme.pdf
  20. knn——MI.pdf
  21. DeepLearning-NowPublishing-Vol7-SIG-039.pdf
  22. William W. Hsieh-Machine Learning Methods in the Environmental Sciences_ Neural Networks and Kernels-Cambridge University Press (2009).pdf
  23. Joseph J. Rotman-Advanced modern algebra-Prentice Hall (2002).pdf
  24. AIMag26-04-016.pdf
  25. MULTIVARIATE EDGEWORTH-BASED ENTROPY ESTIMATION.pdf
  26. lisp.pdf
  27. ObjectiveCNotesForProfessionals.pdf
  28. jQueryNotesForProfessionals.pdf
  29. Steps Toward Artificial Intelligence.pdf
  30. HTML5NotesForProfessionals.pdf
  31. Computability and Complexity.pdf
  32. 00-sicp.pdf
  33. LET'S BUILD A COMPILER.pdf
  34. Computer Networks - A Tanenbaum - 5th edition.pdf
  35. Python for Scientists (en).pdf
  36. Introduction to Kolmogorov Comlexity and Its Applications.pdf
  37. Charles Petzold-Code_ The Hidden Language of Computer Hardware and Software-Microsoft Press (2000) 2.pdf
  38. 你必须知道的495个C语言问题-baad.pdf
  39. common_lisp.pdf
  40. PerlNotesForProfessionals.pdf
  41. programming languages.pdf
  42. 00-cn-计算机程序的构造和解释（SICP中文第2版）.pdf
  43. onlisp.pdf
  44. Python Notes for Professionals (en).pdf
  45. On the expressive power of programming languages.pdf
  46. HTML5CanvasNotesForProfessionals.pdf
  47. Ernest Schimmerling-A Course on Set Theory-Cambridge University Press (2011).pdf
  48. implementation of functional program.pdf
  49. mastering_regular_expressions.pdf
  50. 一位数学家的经历(乌拉姆自传).pdf
  51. Основы на примере Python (ru).pdf
  52. Mastering Regular Expressions (Friedl-2006).pdf
  53. An Exceptionally Simple Theory of Everything.pdf
  54. Wayne C. Booth, Joseph M. Williams, Gregory G. Colomb-The Craft of Research, 2nd edition (Chicago Guides to Writing, Editing, and Publishing)-University of Chicago Press (2003).pdf
  55. Boxcox.pdf
  56. CPlusPlusNotesForProfessionals.pdf
  57. 物理力学讲义 钱学森著.pdf
  58. re — Regular expression operations — Python 3.8.1rc1 documentation.pdf
  59. JavaNotesForProfessionals.pdf
  60. lambdanative_icfp13.pdf
  61. The Pyramid Web Framework (en).pdf
  62. An Axiomatic Basis for programming.pdf
  63. 02-01-cn-default-《算法设计手册》第2版+中文版330页.pdf
  64. thinkCSpy.pdf
  65. Minds, Machines and Gödel.pdf
  66. Beginning Programming with Python For Dummies (en).pdf
  67. elements_of_programming_style.pdf
  68. BashNotesForProfessionals.pdf
  69. pallets-click-7.x.pdf
  70. Programming Languages 2.pdf
  71. CSharpNotesForProfessionals.pdf
  72. 杨振宁：20世纪一位伟大的物理学家.pdf
  73. Python code for Artificial Intelligence (en).pdf
  74. 西方名著入门 第八卷 数学.pdf
  75. Stephen Wolfram-A New Kind of Science-Wolfram Media (2002).pdf
  76. PHPNotesForProfessionals.pdf
  77. JavaScriptNotesForProfessionals.pdf
  78. [中文版][第四版]计算机系统结构：量化研究方法.pdf
  79. Understanding Digital 2.pdf
  80. scheme_the_art_of_programming.pdf
  81. 拓扑学教程(Choquet).pdf
  82. ReactNativeNotesForProfessionals.pdf
  83. 01-01-default-The Elements of Computing Systems.pdf
  84. Algorithms.算法概论中文版.pdf
  85. Shannon Information and Kolmogorov Complexity.pdf
  86. MongoDBNotesForProfessionals.pdf
  87. 最后的沉思-庞加莱.pdf
  88. Чистый Python (en).pdf
  89. Algorithms in C(Robert Sedgewick).pdf
  90. Kalid Azad-Math, Better Explained-CreateSpace Independent Publishing Platform (2013).pdf
  91. Artificial-Intelligence-A-Modern-Approach-3rd-Edition.pdf
  92. 002-1 Think in java 4.pdf
  93. The Nature of Statistical Learning Theory-Springer New York (1995).pdf
  94. Practical Machine Learning with Python (en).pdf
  95. epdf.pub_dictionary-of-turkic-languages.pdf
  96. Hackes Delight 2nd Edition.pdf
  97. ica_mi_knn.pdf
  98. theory of probability.pdf
  99. requests-latest.pdf
  100. The Feynman Lectures on Physics, Vol. I The New Millennium Edition Mainly Mechanics, Radiation, and Heat by Richard P. Feynman, Robert B. Leighton, Matthew Sands (z-lib.org).pdf
  101. Guy Steele-Common Lisp, The Language, 2nd Edition (HP Technologies) (1990).pdf
  102. Introducing Regular Expressions_ Unraveling Regular Expressions, Step-by-Step [Fitzgerald 2012-08-03].pdf
  103. The.C.Programming.Language.2nd.Edition.pdf
  104. capture-information.pdf
  105. HINTS ON PROGRAMMING LANGUAGE DESIGN.pdf
  106. Чистый Python (en).epub
  107. CNotesForProfessionals.pdf
  108. Markov Logic——Theory, Algorithms and Applications.pdf
  109. p628-steele.pdf
  110. thermal dynamics.pdf
  111. Charles Petzold-Code_ The Hidden Language of Computer Hardware and Software-Microsoft Press (2000).pdf
  112. Python Data Science Handbook (en).pdf
  113. churchy theory.pdf
  114. AIM-353.pdf
  115. assigning.pdf
  116. Tensorflow World Resources (en).pdf
  117. Exploring Raspberry Pi Interfacing to the Real World with Embedded Linux by Derek Molloy (z-lib.org).pdf
  118. godel.pdf
  119. The Feynman Lectures on Physics Mainly Electromagnetism and Matter by Richard P. Feynman Robert B. Leighton Matthew Sands (z-lib.org).pdf
  120. Django for Beginners (en).pdf
  121. cbn_cbv_lambda.pdf
  122. beautiful-soup-4-latest.pdf
  123. 02-01-default-SkienaTheAlgorithmDesignManual.pdf
  124. ICA的好文章.pdf
  125. MySQLNotesForProfessionals.pdf
  126. J. Weeks-The Shape of Space [math]-Marcel Dekker (1985).pdf
  127. Sheldon M ross-Introduction To Probability Models.pdf
  128. programming language application and interpretation.pdf
  129. statistical inference through data compression.pdf
  130. Andrew F Bennett,NetLibrary, Inc.-Inverse modeling of the ocean and atmosphere-Cambridge University Press (2002).pdf
  131. Prealgebra via Python Programming (en).pdf
  132. Morris H DeGroot_ Mark J Schervish-Probability and statistics-Pearson Education (2012).pdf
  133. theotypestr (1).pdf
  134. Deep Learning with Python (en).pdf
  135. set-theory.pdf
  136. 02-02-2014-cn-怎样解题数学思维的新方法.pdf
  137. thinkCSpy 2.pdf
  138. The Quick Python Book (en).pdf
  139. Design_Patterns.epub
  140. Vincent Ruggiero-Beyond Feelings_ A Guide to Critical Thinking-McGraw-Hill Humanities_Social Sciences_Languages (2003).pdf
  141. Teach Yourself Scheme in Fixnum Days.pdf
  142. AIM-453.pdf
  143. Maximum entropy production critics.pdf
  144. Understanding Digital.pdf
  145. Programming Language and Lambda Calculi.pdf
  146. LISP 1.5 Programmers Manual.pdf
  147. 编程珠玑(Programming Pearls).pdf
  148. Foundations of Computer Science, C Edition.pdf
  149. 02-02-2014-Polya-How-to-solve-it.pdf
  150. AIM-514.pdf
  151. is the brain quantum.pdf
  152. Python Tricks (en).pdf
  153. (Adaptive Computation and Machine Learning) Kevin P. Murphy-Machine Learning_ A Probabilistic Perspective-The MIT Press (2012) (1).pdf
  154. AIM-443.pdf
  155. LP.pdf
  156. AITR-474.pdf
  157. GTM030.抽象代数讲义 1（中文版，Nathan Jacobson）.pdf
  158. Bayesian Networks.pdf
  159. Supporting Python 3 (en).pdf
  160. introduction_to_lambda_calculus.pdf
  161. Reinforcement Learning (en).pdf
  162. Artificial Intelligence A Modern Approach.pdf
  163. 现代数学**概论.pdf
  164. Wolfram - A New Kind of Science.pdf
  165. 计算机体系结构—量化研究方法（第5版）.pdf
  166. Feynmans Tips on Physics A Problem-Solving Supplement to the Feynman Lectures on Physics by Richard P. Feynman, Michael A. Gottlieb, Ralph Leighton (z-lib.org).pdf
  167. 美河制作.程序设计语言实践之路.pdf
  168. What Do We Understand About.pdf
  169. Recursive Functions of Symbolic Expressions.pdf
  170. Masimov_K._Sleduyushiyi_Vlastelin_Mi.pdf
  171. intro-marriage-4up.pdf
  172. NodeJSNotesForProfessionals.pdf
  173. Domain-Specific Languages-e426.pdf
  174. Python для сложных задач (ru).pdf
  175. Nils J. Nilsson-Artificial Intelligence_ A New Synthesis -Morgan Kaufmann Publishers, Inc. (1998).pdf
  176. Algebra (Artin).pdf
  177. 03-02-mit-mcs.pdf
  178. 03-01-dmbook.pdf
  179. Physworld.pdf
  180. METHODS AND TECHNIQUES OF COMPLEX.pdf
  181. The Feynman Lectures on Physics Quantum Mechanics by Richard P. Feynman Robert B. Leighton Matthew Sands (z-lib.org).pdf
  182. Linux内核设计与实现(第三版中文高清带目录).pdf
  183. kupdf.net_digital-computer-electronics-3rd-edition-malvino.pdf
  184. 图解HTTP+彩色版.pdf
  185. The Elements of stochastic Learning.pdf
  186. Measuring Information Transfer.pdf
  187. QR迭代法求矩阵特征值.pdf
  188. AIM-349.pdf
  189. Princeton University - Fourier Analysis~ An Introduction - (2003).pdf
  190. SwiftNotesForProfessionals.pdf
  191. (Prentice Hall series in artificial intelligence) Paul Graham-ANSI Common LISP-Prentice Hall (1996).pdf
  192. MATLABNotesForProfessionals.pdf
  193. AlgorithmsNotesForProfessionals.pdf
  194. data_clustering.pdf
  195. Interpreting LISP.pdf
  196. RealWorldHaskell.pdf
  197. Math Adventures with Python (en).Pdf
  198. Minsky.pdf
  199. Computer Simulation (en).pdf
  200. ch7_partA.pdf
  201. Python深度学习.pdf
  202. Bottle Documentation (en).pdf
  203. 流形学习.pdf
  204. Daniel P. Friedman, Mitchell Wand, Christopher T. Haynes-Essentials of Programming Languages-MIT Press (2001).pdf
  205. iOSNotesForProfessionals.pdf
  206. Thomas M. Cover, Joy A. Thomas-Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)-Wiley-Interscience (2006).pdf
  207. Proofs from THE BOOK.pdf
  208. representing-control.pdf
  209. CSSNotesForProfessionals.pdf

THE BOOKS ARE COLLECTED FROM THE INTERNET AND SHOULD ONLY BE USED FOR EDUCATIONAL PURPOSES

The markdown file itself is created by the process.py python script

How to contribute?

Fork the repository and star it, clone OR download the repository, put your books inside. Finally, Do not forget to pull request.