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Название [FreeCoursesOnline.Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]
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00001 What_Does_the_Course_Cover.mp4 46.50Мб
00002 Python.mp4 12.85Мб
00003 Why_Python.mp4 54.73Мб
00004 Jupyter.mp4 11.78Мб
00005 Setting_Up_the_Environment.mp4 17.25Мб
00006 Programming_Explained_in_5_Minutes.mp4 57.71Мб
00007 Why_Jupyter.mp4 37.97Мб
00008 Installing_Anaconda.mp4 47.05Мб
00009 Jupyter_s_Interface_the_Dashboard.mp4 20.60Мб
00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp4 42.32Мб
00011 Jupyter_-_Using_Shortcuts.mp4 29.56Мб
00012 Jupyter_-_Handling_Error_Messages.mp4 58.24Мб
00013 Jupyter_-_Restarting_the_Kernel.mp4 14.62Мб
00014 Python_Variables.mp4 37.50Мб
00015 Understanding_Numbers_and_Boolean_Values.mp4 23.88Мб
00016 Strings.mp4 43.25Мб
00017 The_Arithmetic_Operators_of_Python.mp4 27.34Мб
00018 What_is_the_Double_Equality_Sign.mp4 9.76Мб
00019 How_to_Reassign_Values.mp4 6.69Мб
00020 How_to_Add_Comments.mp4 8.79Мб
00021 Understanding_Line_Continuation.mp4 4.45Мб
00022 How_to_Index_Elements.mp4 8.70Мб
00023 How_to_Structure_Your_Code_with_Indentation.mp4 10.10Мб
00024 Python_Comparison_Operators.mp4 15.04Мб
00025 Python_s_Logical_and_Identity_Operators.mp4 43.06Мб
00026 Getting_to_Know_the_IF_Statement.mp4 19.92Мб
00027 Adding_an_ELSE_statement.mp4 19.67Мб
00028 Else_if_for_Brief_ELIF.mp4 46.35Мб
00029 An_Additional_Explanation_of_Boolean_Values.mp4 16.17Мб
00030 How_to_Define_a_Function_in_Python.mp4 11.69Мб
00031 How_to_Create_a_Function_with_a_Parameter.mp4 32.45Мб
00032 Another_Way_to_Define_a_Function.mp4 21.02Мб
00033 How_to_Use_a_Function_within_a_Function.mp4 12.24Мб
00034 Use_Conditional_Statements_and_Functions_Together.mp4 23.71Мб
00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp4 11.48Мб
00036 Built-In_Functions_in_Python_Worth_Knowing.mp4 30.99Мб
00037 Introduction_to_Lists.mp4 30.06Мб
00038 Using_Methods_in_Python.mp4 30.86Мб
00039 What_is_List_Slicing.mp4 42.74Мб
00040 Working_with_Tuples.mp4 22.80Мб
00041 Python_Dictionaries.mp4 33.74Мб
00042 Using_For_Loops.mp4 20.15Мб
00043 Using_While_Loops_and_Incrementing.mp4 23.00Мб
00044 Use_the_range_Function_to_Create_Lists.mp4 26.86Мб
00045 Combine_Conditional_Statements_and_Loops.mp4 23.36Мб
00046 All_In_Conditional_Statements_Functions_and_Loops.mp4 15.18Мб
00047 How_to_Iterate_over_Dictionaries.mp4 24.90Мб
00048 Object-Oriented_Programming.mp4 44.05Мб
00049 Modules_Packages_and_the_Python_Standard_Library.mp4 47.51Мб
00050 Importing_Modules.mp4 24.00Мб
00051 What_is_Software_Documentation.mp4 50.08Мб
00052 The_Python_Documentation.mp4 83.24Мб
00053 Must-Have_Packages_Fin_DSc.mp4 54.20Мб
00054 Arrays.mp4 42.10Мб
00055 Generating_Random_Numbers.mp4 22.89Мб
00056 Using_Financial_Data_in_Python.mp4 22.88Мб
00057 Importing_Data_Part_I.mp4 38.51Мб
00058 Importing_Data_Part_II.mp4 103.82Мб
00059 Importing_Data_Part_III.mp4 49.46Мб
00060 Changing_the_Index_of_Your_Time-Series_Data.mp4 46.49Мб
00061 Restarting_the_Jupyter_Kernel.mp4 37.29Мб
00062 Considering_Both_Risk_and_Return.mp4 29.74Мб
00063 What_are_We_Going_to_See_Next.mp4 23.66Мб
00064 Calculating_a_Security_s_Rate_of_Return.mp4 44.60Мб
00065 Simple_Returns_Part_I.mp4 66.54Мб
00066 Simple_Returns_Part_II.mp4 33.01Мб
00067 Log_Returns.mp4 40.38Мб
00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp4 20.69Мб
00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp4 96.18Мб
00070 Popular_Stock_Indices.mp4 30.63Мб
00071 Calculating_the_Return_of_Indices.mp4 60.24Мб
00072 How_Do_We_Measure_a_Security_s_Risk.mp4 54.62Мб
00073 Calculating_a_Security_s_Risk_in_Python.mp4 66.90Мб
00074 The_Benefits_of_Portfolio_Diversification.mp4 31.61Мб
00075 Calculating_the_Covariance_between_Securities.mp4 28.65Мб
00076 Measuring_the_Correlation_between_Securities.mp4 30.49Мб
00077 Calculating_Covariance_and_Correlation.mp4 51.50Мб
00078 Considering_the_Risk_of_Multiple_Securities.mp4 42.46Мб
00079 Calculating_Portfolio_Risk.mp4 27.49Мб
00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp4 24.70Мб
00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp4 45.98Мб
00082 Simple_Regression_Analysis.mp4 30.05Мб
00083 Running_a_Regression_in_Python.mp4 60.27Мб
00084 How_to_Distinguish_Good_Regressions.mp4 44.67Мб
00085 Computing_Alpha_Beta_and_R2_in_Python.mp4 65.12Мб
00086 Markowitz_Portfolio_Theory.mp4 61.39Мб
00087 Obtaining_the_Efficient_Frontier_Part_I.mp4 56.76Мб
00088 Obtaining_the_Efficient_Frontier_Part_II.mp4 72.04Мб
00089 Obtaining_the_Efficient_Frontier_Part_III.mp4 25.02Мб
00090 The_Intuition_Behind_the_CAPM.mp4 40.79Мб
00091 Understanding_and_Calculating_Beta.mp4 35.93Мб
00092 Calculating_the_Beta_of_a_Stock.mp4 40.37Мб
00093 The_CAPM_Formula.mp4 35.18Мб
00094 Calculating_the_Expected_Return_of_a_Stock.mp4 23.20Мб
00095 Introducing_the_Sharpe_Ratio.mp4 19.31Мб
00096 Obtaining_the_Sharpe_Ratio_in_Python.mp4 12.19Мб
00097 Measuring_Alpha.mp4 32.72Мб
00098 Multivariate_Regression_Analysis.mp4 45.77Мб
00099 Running_a_Multivariate_Regression_in_Python.mp4 93.18Мб
00100 The_Essence_of_Monte_Carlo_Simulations.mp4 21.73Мб
00101 Monte_Carlo_in_Corporate_Finance.mp4 23.28Мб
00102 MC_Predicting_Gross_Profit_Part_I.mp4 76.74Мб
00103 MC_Predicting_Gross_Profit_Part_II.mp4 29.38Мб
00104 Forecasting_Stock_Prices_with_an_MC_Simulation.mp4 30.27Мб
00105 MC_Forecasting_Stock_Prices_Part_I.mp4 36.47Мб
00106 MC_Forecasting_Stock_Prices_Part_II.mp4 49.84Мб
00107 MC_Forecasting_Stock_Prices_Part_III.mp4 44.79Мб
00108 An_Introduction_to_Derivative_Contracts.mp4 54.02Мб
00109 The_Black_Scholes_Formula.mp4 40.34Мб
00110 MC_Black_Scholes_Merton_Updated.mp4 62.76Мб
00111 MC_Euler_Discretization_Part_I.mp4 67.68Мб
00112 MC_Euler_Discretization_Part_II.mp4 19.07Мб
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