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MIT - Introduction to Computer Science and Programming (Python) ® vampiri6ka

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视频 2017-6-28 10:14 2024-11-23 14:25 400 11.88 GB 76
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MIT - Introduction to Computer Science and Programming Python ® vampiri6ka

文件列表
  1. HQ/28-Quiz 2 Review Session.mkv479.28MB
  2. LQ/28-Quiz 2 Review Session.mp4273.04MB
  3. HQ/35-Lecture 24_ Avoiding Statistical Fallacies.mkv251.59MB
  4. HQ/21-Lecture 15_ Statistical Thinking.mkv246.81MB
  5. HQ/23-Lecture 16_ Using Randomness to Solve Non-random Problems.mkv238.54MB
  6. HQ/37-Lecture 25_ Queuing Network Models.mkv233.38MB
  7. HQ/27-Lecture 19_ More Optimization and Clustering.mkv228.96MB
  8. HQ/08-Lecture 06_ Recursion.mkv228.31MB
  9. HQ/01-Lecture 01_ Introduction to 6.00.mkv227.86MB
  10. HQ/12-Lecture 08_ Efficiency and Order of Growth.mkv226.58MB
  11. HQ/20-Lecture 14_ Sampling and Monte Carlo Simulation.mkv226.44MB
  12. HQ/17-Lecture 12_ Introduction to Simulation and Random Walks.mkv219.99MB
  13. HQ/13-Lecture 09_ Memory and Search Methods.mkv218.24MB
  14. HQ/04-Lecture 03_ Problem Solving.mkv215.07MB
  15. HQ/10-Lecture 07_ Debugging.mkv215.02MB
  16. HQ/24-Lecture 17_ Curve Fitting.mkv214.04MB
  17. HQ/26-Lecture 18_ Optimization Problems and Algorithms.mkv213.27MB
  18. HQ/07-Lecture 05_ Objects in Python.mkv211.96MB
  19. HQ/31-Lecture 21_ Using Graphs to Model Problems, Part 1.mkv211.57MB
  20. HQ/29-Lecture 20_ More Clustering.mkv208.33MB
  21. HQ/14-Lecture 10_ Hashing and Classes.mkv205.57MB
  22. HQ/15-Lecture 11_ Object Oriented Programming (OOP) and Inheritance.mkv201.99MB
  23. HQ/34-Lecture 23_ Dynamic Programming.mkv201.07MB
  24. HQ/19-Lecture 13_ Some Basic Probability and Plotting Data.mkv200.41MB
  25. HQ/32-Lecture 22_ Using Graphs to Model Problems, Part 2.mkv199.3MB
  26. HQ/22-Recitation 06_ Probability and Statistics.mkv198.04MB
  27. HQ/02-Lecture 02_ Core Elements of a Program.mkv196.82MB
  28. HQ/05-Lecture 04_ Machine Interpretation of a Program.mkv196.61MB
  29. HQ/38-Lecture 26_ What Do Computer Scientists Do_.mkv189.46MB
  30. HQ/06-Recitation 02_ Loops, Tuples, Strings, and Functions.mkv176.46MB
  31. HQ/33-Recitation 09_ Directed and Undirected Node Graphs.mkv169.95MB
  32. HQ/16-Recitation 05_ Quiz 1 Answers and Object-Oriented Programming.mkv169.7MB
  33. HQ/03-Recitation 01_ Introduction to Coding Concepts.mkv167.39MB
  34. HQ/11-Recitation 04_ Recursion, Pseudo code, and Debugging.mkv158.44MB
  35. HQ/30-Recitation 08_ Hierarchical and k-means Clustering.mkv154.89MB
  36. HQ/09-Recitation 03_ Lists and their Elements, Sorting, and Recursion.mkv154.86MB
  37. HQ/25-Recitation 07_ Distributions, Monte Carlo, and Regressions.mkv145.15MB
  38. HQ/18-Optional Recitation_ Algorithm Complexity and Class Review.mkv143.99MB
  39. LQ/06-Recitation 02_ Loops, Tuples, Strings, and Functions.mp4133.43MB
  40. LQ/31-Lecture 21_ Using Graphs to Model Problems, Part 1.mp4123.08MB
  41. HQ/36-Recitation 10_ Introduction to Dynamic Programming.mkv117.99MB
  42. LQ/02-Lecture 02_ Core Elements of a Program.mp4116.62MB
  43. LQ/16-Recitation 05_ Quiz 1 Answers and Object-Oriented Programming.mp4116.33MB
  44. LQ/34-Lecture 23_ Dynamic Programming.mp4116.03MB
  45. LQ/22-Recitation 06_ Probability and Statistics.mp4115.9MB
  46. LQ/37-Lecture 25_ Queuing Network Models.mp4114.98MB
  47. LQ/03-Recitation 01_ Introduction to Coding Concepts.mp4113.79MB
  48. LQ/21-Lecture 15_ Statistical Thinking.mp4113.13MB
  49. LQ/30-Recitation 08_ Hierarchical and k-means Clustering.mp4112.74MB
  50. LQ/24-Lecture 17_ Curve Fitting.mp4111.31MB
  51. LQ/07-Lecture 05_ Objects in Python.mp4111.3MB
  52. LQ/20-Lecture 14_ Sampling and Monte Carlo Simulation.mp4111.21MB
  53. LQ/15-Lecture 11_ Object Oriented Programming (OOP) and Inheritance.mp4111MB
  54. LQ/05-Lecture 04_ Machine Interpretation of a Program.mp4110.9MB
  55. LQ/17-Lecture 12_ Introduction to Simulation and Random Walks.mp4110.04MB
  56. LQ/38-Lecture 26_ What Do Computer Scientists Do_.mp4109.88MB
  57. LQ/12-Lecture 08_ Efficiency and Order of Growth.mp4109.49MB
  58. LQ/11-Recitation 04_ Recursion, Pseudo code, and Debugging.mp4109.28MB
  59. LQ/09-Recitation 03_ Lists and their Elements, Sorting, and Recursion.mp4109.26MB
  60. LQ/26-Lecture 18_ Optimization Problems and Algorithms.mp4109.11MB
  61. LQ/10-Lecture 07_ Debugging.mp4109.08MB
  62. LQ/27-Lecture 19_ More Optimization and Clustering.mp4108.95MB
  63. LQ/23-Lecture 16_ Using Randomness to Solve Non-random Problems.mp4108.88MB
  64. LQ/33-Recitation 09_ Directed and Undirected Node Graphs.mp4108.35MB
  65. LQ/08-Lecture 06_ Recursion.mp4108.1MB
  66. LQ/35-Lecture 24_ Avoiding Statistical Fallacies.mp4107.58MB
  67. LQ/29-Lecture 20_ More Clustering.mp4107.29MB
  68. LQ/32-Lecture 22_ Using Graphs to Model Problems, Part 2.mp4106.76MB
  69. LQ/13-Lecture 09_ Memory and Search Methods.mp4105.14MB
  70. LQ/04-Lecture 03_ Problem Solving.mp4104.75MB
  71. LQ/25-Recitation 07_ Distributions, Monte Carlo, and Regressions.mp4102.89MB
  72. LQ/14-Lecture 10_ Hashing and Classes.mp4101.9MB
  73. LQ/19-Lecture 13_ Some Basic Probability and Plotting Data.mp493.55MB
  74. LQ/18-Optional Recitation_ Algorithm Complexity and Class Review.mp491.66MB
  75. LQ/01-Lecture 01_ Introduction to 6.00.mp490.56MB
  76. LQ/36-Recitation 10_ Introduction to Dynamic Programming.mp483.53MB
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