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[FreeCoursesOnline Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]
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Name:[FreeCoursesOnline Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]
Infohash: 486CD2775E36E2F586B2D54BD49E611D86FFA8C4
Total Size: 4.00 GB
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Last Updated: 2025-11-10 02:50:37 (Update Now)
Torrent added: 2021-09-27 14:08:17
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00001 What_Does_the_Course_Cover.mp4
00002 Python.mp4
00003 Why_Python.mp4
00004 Jupyter.mp4
00005 Setting_Up_the_Environment.mp4
00006 Programming_Explained_in_5_Minutes.mp4
00007 Why_Jupyter.mp4
00008 Installing_Anaconda.mp4
00009 Jupyter_s_Interface_the_Dashboard.mp4
00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp4
00011 Jupyter_-_Using_Shortcuts.mp4
00012 Jupyter_-_Handling_Error_Messages.mp4
00013 Jupyter_-_Restarting_the_Kernel.mp4
00014 Python_Variables.mp4
00015 Understanding_Numbers_and_Boolean_Values.mp4
00016 Strings.mp4
00017 The_Arithmetic_Operators_of_Python.mp4
00018 What_is_the_Double_Equality_Sign.mp4
00019 How_to_Reassign_Values.mp4
00020 How_to_Add_Comments.mp4
00021 Understanding_Line_Continuation.mp4
00022 How_to_Index_Elements.mp4
00023 How_to_Structure_Your_Code_with_Indentation.mp4
00024 Python_Comparison_Operators.mp4
00025 Python_s_Logical_and_Identity_Operators.mp4
00026 Getting_to_Know_the_IF_Statement.mp4
00027 Adding_an_ELSE_statement.mp4
00028 Else_if_for_Brief_ELIF.mp4
00029 An_Additional_Explanation_of_Boolean_Values.mp4
00030 How_to_Define_a_Function_in_Python.mp4
00031 How_to_Create_a_Function_with_a_Parameter.mp4
00032 Another_Way_to_Define_a_Function.mp4
00033 How_to_Use_a_Function_within_a_Function.mp4
00034 Use_Conditional_Statements_and_Functions_Together.mp4
00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp4
00036 Built-In_Functions_in_Python_Worth_Knowing.mp4
00037 Introduction_to_Lists.mp4
00038 Using_Methods_in_Python.mp4
00039 What_is_List_Slicing.mp4
00040 Working_with_Tuples.mp4
00041 Python_Dictionaries.mp4
00042 Using_For_Loops.mp4
00043 Using_While_Loops_and_Incrementing.mp4
00044 Use_the_range_Function_to_Create_Lists.mp4
00045 Combine_Conditional_Statements_and_Loops.mp4
00046 All_In_Conditional_Statements_Functions_and_Loops.mp4
00047 How_to_Iterate_over_Dictionaries.mp4
00048 Object-Oriented_Programming.mp4
00049 Modules_Packages_and_the_Python_Standard_Library.mp4
00050 Importing_Modules.mp4
00051 What_is_Software_Documentation.mp4
00052 The_Python_Documentation.mp4
00053 Must-Have_Packages_Fin_DSc.mp4
00054 Arrays.mp4
00055 Generating_Random_Numbers.mp4
00056 Using_Financial_Data_in_Python.mp4
00057 Importing_Data_Part_I.mp4
00058 Importing_Data_Part_II.mp4
00059 Importing_Data_Part_III.mp4
00060 Changing_the_Index_of_Your_Time-Series_Data.mp4
00061 Restarting_the_Jupyter_Kernel.mp4
00062 Considering_Both_Risk_and_Return.mp4
00063 What_are_We_Going_to_See_Next.mp4
00064 Calculating_a_Security_s_Rate_of_Return.mp4
00065 Simple_Returns_Part_I.mp4
00066 Simple_Returns_Part_II.mp4
00067 Log_Returns.mp4
00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp4
00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp4
00070 Popular_Stock_Indices.mp4
00071 Calculating_the_Return_of_Indices.mp4
00072 How_Do_We_Measure_a_Security_s_Risk.mp4
00073 Calculating_a_Security_s_Risk_in_Python.mp4
00074 The_Benefits_of_Portfolio_Diversification.mp4
00075 Calculating_the_Covariance_between_Securities.mp4
00076 Measuring_the_Correlation_between_Securities.mp4
00077 Calculating_Covariance_and_Correlation.mp4
00078 Considering_the_Risk_of_Multiple_Securities.mp4
00079 Calculating_Portfolio_Risk.mp4
00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp4
00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp4
00082 Simple_Regression_Analysis.mp4
00083 Running_a_Regression_in_Python.mp4
00084 How_to_Distinguish_Good_Regressions.mp4
00085 Computing_Alpha_Beta_and_R2_in_Python.mp4
00086 Markowitz_Portfolio_Theory.mp4
00087 Obtaining_the_Efficient_Frontier_Part_I.mp4
00088 Obtaining_the_Efficient_Frontier_Part_II.mp4
00089 Obtaining_the_Efficient_Frontier_Part_III.mp4
00090 The_Intuition_Behind_the_CAPM.mp4
00091 Understanding_and_Calculating_Beta.mp4
00092 Calculating_the_Beta_of_a_Stock.mp4
00093 The_CAPM_Formula.mp4
00094 Calculating_the_Expected_Return_of_a_Stock.mp4
00095 Introducing_the_Sharpe_Ratio.mp4
00096 Obtaining_the_Sharpe_Ratio_in_Python.mp4
00097 Measuring_Alpha.mp4
00098 Multivariate_Regression_Analysis.mp4
00099 Running_a_Multivariate_Regression_in_Python.mp4
00100 The_Essence_of_Monte_Carlo_Simulations.mp4
00101 Monte_Carlo_in_Corporate_Finance.mp4
00102 MC_Predicting_Gross_Profit_Part_I.mp4
00103 MC_Predicting_Gross_Profit_Part_II.mp4
00104 Forecasting_Stock_Prices_with_an_MC_Simulation.mp4
00105 MC_Forecasting_Stock_Prices_Part_I.mp4
00106 MC_Forecasting_Stock_Prices_Part_II.mp4
00107 MC_Forecasting_Stock_Prices_Part_III.mp4
00108 An_Introduction_to_Derivative_Contracts.mp4
00109 The_Black_Scholes_Formula.mp4
00110 MC_Black_Scholes_Merton_Updated.mp4
00111 MC_Euler_Discretization_Part_I.mp4
00112 MC_Euler_Discretization_Part_II.mp4
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