swatchion / cs_books

Computer science books Recommended by AzatAI. (Education ONLY)

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 mark down 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.