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[] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]

  • 收录时间:2021-11-29 19:22:41
  • 文件大小:4GB
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  • 最近下载:2021-11-29 19:22:41
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文件列表

  1. 00058 Importing_Data_Part_II.mp4 104MB
  2. 00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp4 96MB
  3. 00099 Running_a_Multivariate_Regression_in_Python.mp4 93MB
  4. 00052 The_Python_Documentation.mp4 83MB
  5. 00102 MC_Predicting_Gross_Profit_Part_I.mp4 77MB
  6. 00088 Obtaining_the_Efficient_Frontier_Part_II.mp4 72MB
  7. 00111 MC_Euler_Discretization_Part_I.mp4 68MB
  8. 00073 Calculating_a_Security_s_Risk_in_Python.mp4 67MB
  9. 00065 Simple_Returns_Part_I.mp4 67MB
  10. 00085 Computing_Alpha_Beta_and_R2_in_Python.mp4 65MB
  11. 00110 MC_Black_Scholes_Merton_Updated.mp4 63MB
  12. 00086 Markowitz_Portfolio_Theory.mp4 61MB
  13. 00083 Running_a_Regression_in_Python.mp4 60MB
  14. 00071 Calculating_the_Return_of_Indices.mp4 60MB
  15. 00012 Jupyter_-_Handling_Error_Messages.mp4 58MB
  16. 00006 Programming_Explained_in_5_Minutes.mp4 58MB
  17. 00087 Obtaining_the_Efficient_Frontier_Part_I.mp4 57MB
  18. 00003 Why_Python.mp4 55MB
  19. 00072 How_Do_We_Measure_a_Security_s_Risk.mp4 55MB
  20. 00053 Must-Have_Packages_Fin_DSc.mp4 54MB
  21. 00108 An_Introduction_to_Derivative_Contracts.mp4 54MB
  22. 00077 Calculating_Covariance_and_Correlation.mp4 52MB
  23. 00051 What_is_Software_Documentation.mp4 50MB
  24. 00106 MC_Forecasting_Stock_Prices_Part_II.mp4 50MB
  25. 00059 Importing_Data_Part_III.mp4 49MB
  26. 00049 Modules_Packages_and_the_Python_Standard_Library.mp4 48MB
  27. 00008 Installing_Anaconda.mp4 47MB
  28. 00001 What_Does_the_Course_Cover.mp4 47MB
  29. 00060 Changing_the_Index_of_Your_Time-Series_Data.mp4 46MB
  30. 00028 Else_if_for_Brief_ELIF.mp4 46MB
  31. 00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp4 46MB
  32. 00098 Multivariate_Regression_Analysis.mp4 46MB
  33. 00107 MC_Forecasting_Stock_Prices_Part_III.mp4 45MB
  34. 00084 How_to_Distinguish_Good_Regressions.mp4 45MB
  35. 00064 Calculating_a_Security_s_Rate_of_Return.mp4 45MB
  36. 00048 Object-Oriented_Programming.mp4 44MB
  37. 00016 Strings.mp4 43MB
  38. 00025 Python_s_Logical_and_Identity_Operators.mp4 43MB
  39. 00039 What_is_List_Slicing.mp4 43MB
  40. 00078 Considering_the_Risk_of_Multiple_Securities.mp4 42MB
  41. 00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp4 42MB
  42. 00054 Arrays.mp4 42MB
  43. 00090 The_Intuition_Behind_the_CAPM.mp4 41MB
  44. 00067 Log_Returns.mp4 40MB
  45. 00092 Calculating_the_Beta_of_a_Stock.mp4 40MB
  46. 00109 The_Black_Scholes_Formula.mp4 40MB
  47. 00057 Importing_Data_Part_I.mp4 39MB
  48. 00007 Why_Jupyter.mp4 38MB
  49. 00014 Python_Variables.mp4 38MB
  50. 00061 Restarting_the_Jupyter_Kernel.mp4 37MB
  51. 00105 MC_Forecasting_Stock_Prices_Part_I.mp4 36MB
  52. 00091 Understanding_and_Calculating_Beta.mp4 36MB
  53. 00093 The_CAPM_Formula.mp4 35MB
  54. 00041 Python_Dictionaries.mp4 34MB
  55. 00066 Simple_Returns_Part_II.mp4 33MB
  56. 00097 Measuring_Alpha.mp4 33MB
  57. 00031 How_to_Create_a_Function_with_a_Parameter.mp4 32MB
  58. 00074 The_Benefits_of_Portfolio_Diversification.mp4 32MB
  59. 00036 Built-In_Functions_in_Python_Worth_Knowing.mp4 31MB
  60. 00038 Using_Methods_in_Python.mp4 31MB
  61. 00070 Popular_Stock_Indices.mp4 31MB
  62. 00076 Measuring_the_Correlation_between_Securities.mp4 30MB
  63. 00104 Forecasting_Stock_Prices_with_an_MC_Simulation.mp4 30MB
  64. 00037 Introduction_to_Lists.mp4 30MB
  65. 00082 Simple_Regression_Analysis.mp4 30MB
  66. 00062 Considering_Both_Risk_and_Return.mp4 30MB
  67. 00011 Jupyter_-_Using_Shortcuts.mp4 30MB
  68. 00103 MC_Predicting_Gross_Profit_Part_II.mp4 29MB
  69. 00075 Calculating_the_Covariance_between_Securities.mp4 29MB
  70. 00079 Calculating_Portfolio_Risk.mp4 27MB
  71. 00017 The_Arithmetic_Operators_of_Python.mp4 27MB
  72. 00044 Use_the_range_Function_to_Create_Lists.mp4 27MB
  73. 00089 Obtaining_the_Efficient_Frontier_Part_III.mp4 25MB
  74. 00047 How_to_Iterate_over_Dictionaries.mp4 25MB
  75. 00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp4 25MB
  76. 00050 Importing_Modules.mp4 24MB
  77. 00015 Understanding_Numbers_and_Boolean_Values.mp4 24MB
  78. 00034 Use_Conditional_Statements_and_Functions_Together.mp4 24MB
  79. 00063 What_are_We_Going_to_See_Next.mp4 24MB
  80. 00045 Combine_Conditional_Statements_and_Loops.mp4 23MB
  81. 00101 Monte_Carlo_in_Corporate_Finance.mp4 23MB
  82. 00094 Calculating_the_Expected_Return_of_a_Stock.mp4 23MB
  83. 00043 Using_While_Loops_and_Incrementing.mp4 23MB
  84. 00055 Generating_Random_Numbers.mp4 23MB
  85. 00056 Using_Financial_Data_in_Python.mp4 23MB
  86. 00040 Working_with_Tuples.mp4 23MB
  87. 00100 The_Essence_of_Monte_Carlo_Simulations.mp4 22MB
  88. 00032 Another_Way_to_Define_a_Function.mp4 21MB
  89. 00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp4 21MB
  90. 00009 Jupyter_s_Interface_the_Dashboard.mp4 21MB
  91. 00042 Using_For_Loops.mp4 20MB
  92. 00026 Getting_to_Know_the_IF_Statement.mp4 20MB
  93. 00027 Adding_an_ELSE_statement.mp4 20MB
  94. 00095 Introducing_the_Sharpe_Ratio.mp4 19MB
  95. 00112 MC_Euler_Discretization_Part_II.mp4 19MB
  96. 00005 Setting_Up_the_Environment.mp4 17MB
  97. 00029 An_Additional_Explanation_of_Boolean_Values.mp4 16MB
  98. 00046 All_In_Conditional_Statements_Functions_and_Loops.mp4 15MB
  99. 00024 Python_Comparison_Operators.mp4 15MB
  100. 00013 Jupyter_-_Restarting_the_Kernel.mp4 15MB
  101. 00002 Python.mp4 13MB
  102. 00033 How_to_Use_a_Function_within_a_Function.mp4 12MB
  103. 00096 Obtaining_the_Sharpe_Ratio_in_Python.mp4 12MB
  104. 00004 Jupyter.mp4 12MB
  105. 00030 How_to_Define_a_Function_in_Python.mp4 12MB
  106. 00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp4 11MB
  107. 00023 How_to_Structure_Your_Code_with_Indentation.mp4 10MB
  108. 00018 What_is_the_Double_Equality_Sign.mp4 10MB
  109. 00020 How_to_Add_Comments.mp4 9MB
  110. 00022 How_to_Index_Elements.mp4 9MB
  111. 00019 How_to_Reassign_Values.mp4 7MB
  112. 00021 Understanding_Line_Continuation.mp4 4MB
  113. 0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url 377B
  114. 0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286B
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