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MIT OCW 6.00 - Introduction to Computer Science and Programming - Fall 2008

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Files:
  1. MIT OCW Original Files ReadMe.txt 686 bytes
  2. Torrent downloaded from Demonoid.com.txt 47 bytes
  3. ReadMe.txt 4.4 KB
  4. Sorting- How To.pdf 125.4 KB
  5. Socket Programming- How To.pdf 133.4 KB
  6. Python Tutorial.pdf 622.4 KB
  7. Sums, Approximations, and Asymptotics II.pdf 248.8 KB
  8. Regular Expression- How To.pdf 181.3 KB
  9. The Python Library Reference.pdf 9.4 MB
  10. Whats New In Python.pdf 312.3 KB
  11. Unicode- How To.pdf 161.9 KB
  12. The Python- C API.pdf 1.4 MB
  13. Python Set-up and Usage.pdf 385.9 KB
  14. The Python Language Reference.pdf 968.6 KB
  15. Python FAQ.pdf 705.9 KB
  16. Documenting Python.pdf 341.3 KB
  17. Extending and Embedding Python.pdf 502.8 KB
  18. Distributing Python Modules.pdf 620.7 KB
  19. Descriptor How To Guide.pdf 127.4 KB
  20. Curses Programming with Python.pdf 130.5 KB
  21. Fetch Internet Resources Using urllib2- How To.pdf 156.2 KB
  22. Functional Programming- How To.pdf 183.8 KB
  23. Porting Extension Modules to 3.0.pdf 106.1 KB
  24. Installing Python Modules.pdf 319.9 KB
  25. Idioms and Anti-Idioms in Python.pdf 124.5 KB
  26. How To Think Like a Computer Scientist.pdf 858.1 KB
  27. Python Advocacy- How To.pdf 105.9 KB
  28. Use Python in the Web- How To.pdf 168.1 KB
  29. Quiz 1.pdf 110.5 KB
  30. Quiz 2 Solution.pdf 62.0 KB
  31. Quiz 2.pdf 105.4 KB
  32. Quiz 3 Explanation.pdf 23.8 KB
  33. Quiz 1 Solution.pdf 71.6 KB
  34. q3.py 4.0 KB
  35. Final.pdf 250.4 KB
  36. Final Topics.pdf 40.2 KB
  37. Problem Set 5.pdf 140.4 KB
  38. Problem Set 4.pdf 91.1 KB
  39. shapes.txt 193 bytes
  40. Problem Set 8.pdf 91.0 KB
  41. ps10.py 9.6 KB
  42. Problem Set 9.pdf 140.8 KB
  43. Problem Set 3.pdf 119.6 KB
  44. Problem Set 7.pdf 29.2 KB
  45. Problem Set 12.pdf 182.6 KB
  46. Problem Set 0.pdf 51.8 KB
  47. Problem Set 1.pdf 55.4 KB
  48. Getting Started.pdf 98.4 KB
  49. ps10_gui.py 10.3 KB
  50. Problem Set 11.pdf 190.5 KB
  51. Problem Set 10.pdf 90.0 KB
  52. Problem Set 2.pdf 42.6 KB
  53. Problem Set 6.pdf 78.2 KB
  54. ps8.py 5.9 KB
  55. ps6.py 7.4 KB
  56. words.txt 633.6 KB
  57. test_ps5.py 6.4 KB
  58. ps10_test.py 1.7 KB
  59. subjects.txt 3.2 KB
  60. ps5_ghost.py 1.4 KB
  61. ps9.py 2.7 KB
  62. ps12.py 12.0 KB
  63. ps11.py 8.4 KB
  64. ps2b.py 468 bytes
  65. ps11_visualize.py 4.5 KB
  66. ps5.py 6.7 KB
  67. ps4.py 3.7 KB
  68. ps3_template.py 1.4 KB
  69. Lecture20 Handout.pdf 60.7 KB
  70. Lec20- Monte Carlo Simulations, Estimating pi.mp4 204.1 MB
  71. Lec21- Validating Simulation Results.mp4 229.1 MB
  72. Lecture19 Transcript.pdf 103.5 KB
  73. Lecture20 Transcript.pdf 98.2 KB
  74. Lec19- Biased Random Walks, Distributions.mp4 212.5 MB
  75. Lecture18 Transcript.pdf 100.5 KB
  76. Lecture18 Handout.pdf 29.0 KB
  77. Lecture21 Handout.pdf 46.6 KB
  78. Lecture19 Handout.pdf 24.4 KB
  79. Lecture24 Handout.pdf 124.0 KB
  80. Lecture23 Transcript.pdf 108.0 KB
  81. Lec24- Course Overview; What Do Computer Scientists Do.mp4 182.5 MB
  82. Lecture24 Transcript.pdf 110.4 KB
  83. Lec18- Presenting Simulation Results, Pylab, Plotting.mp4 225.3 MB
  84. Lecture23 Handout.pdf 25.7 KB
  85. Lec23- Stock Market Simulation.mp4 217.9 MB
  86. Lec22- Normal, Uniform, and Exponential Distributions.mp4 216.5 MB
  87. Lecture22 Handout.pdf 115.4 KB
  88. Lecture22 Transcript.pdf 104.4 KB
  89. Lecture21 Transcript.pdf 103.0 KB
  90. Lec11- Testing and Debugging.mp4 208.6 MB
  91. Lecture06 Handout.pdf 103.7 KB
  92. Lecture06 Transcript.pdf 106.8 KB
  93. Lec06- Bisection Methods, Newton_Raphson, Introduction to lists.mp4 213.7 MB
  94. Lecture05- Transcript.pdf 104.1 KB
  95. Lecture05- Handout.pdf 72.6 KB
  96. Lec07- Lists and Mutability, Dictionaries.mp4 197.5 MB
  97. Lecture07 Handout.pdf 31.7 KB
  98. Lecture08 Transcript.pdf 142.0 KB
  99. Lecture08 Handout.pdf 31.7 KB
  100. Lec08- Complexity_ Log, Linear, Quadratic, Exponential Algorithms.mp4 213.2 MB
  101. Lecture07 Transcript.pdf 130.1 KB
  102. Lec05- Floating Point Numbers, Successive Refinement.mp4 188.3 MB
  103. Lecture04 Transcript.pdf 148.9 KB
  104. Lecture02 Handout.pdf 24.9 KB
  105. Lec02- Branching,Conditionals, and Iteration.mp4 216.5 MB
  106. Lecture01 Transcript.pdf 158.4 KB
  107. Lec 1- Introduction and Goals.mp4 227.9 MB
  108. Lecture02 Transcript.pdf 143.8 KB
  109. Lec03- Common Code Patterns- Iterative Programs.mp4 217.2 MB
  110. Lecture04 Handout.pdf 33.8 KB
  111. Lec04- Abstraction through Functions; Introduction to Recursion.mp4 219.2 MB
  112. Lecture03 Transcript.pdf 140.1 KB
  113. Lecture03 Handout.pdf 29.7 KB
  114. Lec09- Binary Search, Bubble and Selection Sorts.mp4 202.3 MB
  115. Lecture09 Handout.pdf 31.6 KB
  116. Lec15- Abstract Data Types, Classes and Methods.mp4 214.7 MB
  117. Lecture15 Handout.pdf 34.1 KB
  118. Lecture14 Transcript.pdf 104.9 KB
  119. Lecture14 Handout.pdf 25.4 KB
  120. Lec14- Introduction to Object-oriented Programming.mp4 215.4 MB
  121. Lecture15 Transcript.pdf 129.9 KB
  122. Lec16- Encapsulation, Inheritance, Shadowing.mp4 214.6 MB
  123. Lecture17 Handout.pdf 28.6 KB
  124. Lec17- Computational Models-Random Walk Simulation.mp4 210.3 MB
  125. Lecture16 Transcript.pdf 125.3 KB
  126. Lecture16 Handout.pdf 36.2 KB
  127. Lecture13 Transcript.pdf 95.2 KB
  128. Lecture13 Handout.pdf 26.2 KB
  129. Lecture10 Transcript.pdf 132.2 KB
  130. Lecture10 Handout.pdf 32.1 KB
  131. Lec10- Divide and Conquer Methods, Merge Sort, Exceptions.mp4 197.2 MB
  132. Lecture09 Transcript.pdf 133.5 KB
  133. Lecture11 Handout.pdf 25.5 KB
  134. Lecture11 Transcript.pdf 98.9 KB
  135. Lec13- Dynamic Programming.mp4 208.4 MB
  136. Lecture12 Transcript.pdf 109.0 KB
  137. Lecture12 Handout.pdf 30.5 KB
  138. Lec12- Debugging, Knapsack Problem.mp4 212.0 MB
  139. Lecture17 Transcript.pdf 106.9 KB

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