books.txt 5.1 KB

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  1. Para Annual|2009|Issue 1
  2. A CMI Literature club initiative
  3. Book: Book of Job
  4. Author: Unknown
  5. Book: A Lesson Before Dying
  6. Author: Earnest J. Gaines
  7. Book: City of Djinns
  8. Author: William Dalrymple
  9. Book: Reading Lolita in Tehran
  10. Author: Azar Nafisi
  11. Book: Small Island
  12. Author: Andrea Levy
  13. Book: Joothan
  14. Author: Om Prakash Valmiki
  15. Book: The Handmaid's Tale
  16. Author: Margaret Atwood
  17. Book: The Bridge of San Luis Rey
  18. Author: Thornton Wilder
  19. Book: Lincoln in the Bardo
  20. Author: George Sanders
  21. Book: Colourless Tsukuru Tazaki and His Years of Pilgrimage
  22. Author: Haruki Murakami
  23. Book: A Perfect day for Bananafish,
  24. The Laughing Man and
  25. For Esme-with Love and Squalor
  26. Book: Human Action
  27. Author: Von Mise
  28. Book: 1984
  29. Author: George Orwell
  30. Book: The Joyous Cosmology
  31. Author: Alan Watts
  32. Book: Tuesdays with Morrie
  33. Author: Mitch Albom
  34. Book: Salvation of a Saint
  35. Author: Keigo Higashino
  36. Book: Ponniyin Selvan
  37. Author: Kalki Krishnamurthy
  38. Book: City of Thieves
  39. Author: David Benioff
  40. Book: Human Action: A Treatise on Economics
  41. Author: Ludwig von Mises
  42. Book: The Emperor of All Maladies: A Biography of Cancer
  43. Author: Siddhartha Mukherje
  44. Book: Learning Python with Raspberry Pi
  45. Author: Alex Bradbury and Ben Everard
  46. # Books List
  47. Notes on Linear Algebra Peter S. Comeron
  48. Education in Ancient India Dr. A. S. Altekar
  49. Universites in Ancient India D.G. Apte
  50. 2000 BC - 300 AD R.C.Dutt
  51. A Fragmentary Tale of the Atom
  52. The Computing Legacy of Alan M. Turing
  53. Ancient India S. Krishnasward A. Iyengar
  54. Computing Machinary and Intelligence
  55. On Computable Numbers, with an application to the Entscheideng and problem
  56. The Chemical Basics of Morphogenesis
  57. Notes on Finite Group Theory
  58. How to learn from experience R. Adhikari and R. Siddharthan
  59. How to Prove It (A Structured Approach) Daniel J. Velleman
  60. Vector Calculus (Second Edition) Susan Jane Colley
  61. All the Math you missed (Second Edition) Thomas A. Garrity
  62. Advanced Engineering Mathematics (Second Edition) Erwin Kreyszig
  63. Introduction to Probability and Statistics for Enginners and Scientists (Third Edition) Sheldon M. Ross
  64. Analytic Geometry V.A. Ilyin and E.G. Poznyak
  65. Analysis I (Third Edition) Terence Tao
  66. The theory of substitutions and its applications to algebra Eugen Netto
  67. Introduction to Topology (Second Edition) Bert Mendelson
  68. Mathematical Proofs: A Transition to Advanced Mathematics (4th Edition) Gary Chartrand, Albert Polimeni, Ping Zhang
  69. A Hilbert Space Problem Book Paul R. Halmos
  70. I want to be a Mathematician: An Automathography P.R. Halmos
  71. A Mathematician's Apology G.H. Hardy
  72. Naive Set Theory Paul R. Halmos
  73. Finite-Dimensional Vector Spaces (2nd Edition) Paul R. Halmos
  74. Elementary Linear Algebra (Third Edition) Howard Anton
  75. Single-Variable Calculus Robert A. Adams
  76. The Elegant Universe Brian Greene
  77. Modern College Algebra and Trigonometry Edwin F. Beckenbach, Irving Drooyan, Michael D. Grady
  78. Dennery and Krzywicki
  79. Mathematica A Systen for Doing Mathematics by Computer Stephen Wolfram
  80. Tables of Functions Eugene Jahnke & Fritz Emde
  81. Mathematical Expositions 10
  82. Mathematics for Physicists
  83. Implementing Derivatives Models by Les Clewlow and Chris Strickland
  84. Statistical Analysis of Financial Data in R (2rd Edition)
  85. Stochastic Calculus for Finance I
  86. Stochastic Calculus for Finance II
  87. Linux Kernel in a nutshell (a desktop quick reference)
  88. Linux Kernel Development Robert Love
  89. Roots by Alex Haley
  90. The Old Man and The Sea
  91. Marbles in my Underpants
  92. The Ticking
  93. Micrographica
  94. Glen or Glenda (Film)
  95. Data Structures & Algorithms:
  96. Grokking Algorithms
  97. Introduction to Algorithms
  98. Algorithm Design Manual
  99. Coding best practices:
  100. Clean Code
  101. Clean Architecture
  102. Refactoring
  103. Distributed Systems:
  104. Understanding Distributed Systems
  105. Designing Data Intensive Applications
  106. Software Architecture: The Hard Parts
  107. Dev Ops:
  108. Learn DevOps
  109. Machine Learning:
  110. The 100-page Machine Learning Book
  111. AI & ML for Coders
  112. AI: A Modern Approach
  113. Algorithms to live by (the computer science of human decisions)
  114. Computational Physics Mark Newman
  115. An Introduction to Statistical Mechanics and Thermodynamics Robert H. Swendsen
  116. The Atlas of the Real World: Mapping the way we live
  117. Quantum Mechanics in the Single Photon Laboratory
  118. Psycho-Cybernetics, A New Way to Get More Living Out Life
  119. Outliers: The Story of Success
  120. Physics from Symmetry
  121. Teach Yourself Physics
  122. Physics from Finance
  123. No-Nonsense Quantum Field Theory
  124. No-Nonsense Classical Mechanics
  125. No-Nonsense Electrodynamics
  126. No-Nonsense Quantum Mechanics
  127. Physics Travel Guide
  128. Introduction to High Performance Scientific Computing SIAM
  129. CUDA Programming Shane Cook
  130. Numerical Methods in Computational Finance Daniel J. Duffy
  131. Calculus for the Practical Man
  132. Trigonometry for the Practical Man
  133. Advanced Calculus by Woods
  134. Methods of Theoretical Physics P.M. Morse and H. Feshback (3rd Ed.)
  135. Beautiful Code by Andy Oram, Greg Wilson
  136. The Staff Engineer's Path by Tanya Reilly
  137. Strange Code by Ronald T. Kneusel
  138. Seriously Good Software by Marco Faella
  139. Good Code, Bad Code by Tom Long
  140. Skills of a Successful Software Engineer by Fernando Doglio
  141. Python Data Science Handbook, 2nd Edition by Jake VanderPlas
  142. Storytelling with Data by Cole Nussbaurner Knaflic
  143. A Programmer's Introduction to Mathematics by Jeremy Kun
  144. Mage Merlins' unsolved mathematical mysteries
  145. The Pathless Path