/cs_books

Computer science books Recommended by AzatAI. (Education ONLY)

Primary LanguagePython

List of the Books

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

THE BOOKS ARE COLLECTED FROM THE INTERNET AND ONLY USED FOR EDUCATIONAL PURPOSE

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

Last updated in:2020-06-23 16:28:44.135827

How to contribute?

Fork the repository and star it, clone OR download the reposiitory, put your books inside, run the python script process.py, the script will automatically do the rest. Finally, Do not forget to pull request.