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种子名称： [FreeCoursesOnline.Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video]
文件类型： 视频
文件数目： 112个文件
文件大小： 4 GB
收录时间： 2022-10-21 08:20
已经下载： 3次
资源热度： 259
最近下载： 2024-12-26 05:49

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[FreeCoursesOnline.Me] PacktPub - Python for Finance Investment Fundamentals and Data Analytics [Video].torrent

00001 What_Does_the_Course_Cover.mp446.5MB

00002 Python.mp412.85MB

00003 Why_Python.mp454.73MB

00004 Jupyter.mp411.78MB

00005 Setting_Up_the_Environment.mp417.25MB

00006 Programming_Explained_in_5_Minutes.mp457.71MB

00007 Why_Jupyter.mp437.97MB

00008 Installing_Anaconda.mp447.05MB

00009 Jupyter_s_Interface_the_Dashboard.mp420.6MB

00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp442.32MB

00011 Jupyter_-_Using_Shortcuts.mp429.56MB

00012 Jupyter_-_Handling_Error_Messages.mp458.24MB

00013 Jupyter_-_Restarting_the_Kernel.mp414.62MB

00014 Python_Variables.mp437.5MB

00015 Understanding_Numbers_and_Boolean_Values.mp423.88MB

00016 Strings.mp443.25MB

00017 The_Arithmetic_Operators_of_Python.mp427.34MB

00018 What_is_the_Double_Equality_Sign.mp49.76MB

00019 How_to_Reassign_Values.mp46.69MB

00020 How_to_Add_Comments.mp48.79MB

00021 Understanding_Line_Continuation.mp44.45MB

00022 How_to_Index_Elements.mp48.7MB

00023 How_to_Structure_Your_Code_with_Indentation.mp410.1MB

00024 Python_Comparison_Operators.mp415.04MB

00025 Python_s_Logical_and_Identity_Operators.mp443.06MB

00026 Getting_to_Know_the_IF_Statement.mp419.92MB

00027 Adding_an_ELSE_statement.mp419.67MB

00028 Else_if_for_Brief_ELIF.mp446.35MB

00029 An_Additional_Explanation_of_Boolean_Values.mp416.17MB

00030 How_to_Define_a_Function_in_Python.mp411.69MB

00031 How_to_Create_a_Function_with_a_Parameter.mp432.45MB

00032 Another_Way_to_Define_a_Function.mp421.02MB

00033 How_to_Use_a_Function_within_a_Function.mp412.24MB

00034 Use_Conditional_Statements_and_Functions_Together.mp423.71MB

00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp411.48MB

00036 Built-In_Functions_in_Python_Worth_Knowing.mp430.99MB

00037 Introduction_to_Lists.mp430.06MB

00038 Using_Methods_in_Python.mp430.86MB

00039 What_is_List_Slicing.mp442.74MB

00040 Working_with_Tuples.mp422.8MB

00041 Python_Dictionaries.mp433.74MB

00042 Using_For_Loops.mp420.15MB

00043 Using_While_Loops_and_Incrementing.mp423MB

00044 Use_the_range_Function_to_Create_Lists.mp426.86MB

00045 Combine_Conditional_Statements_and_Loops.mp423.36MB

00046 All_In_Conditional_Statements_Functions_and_Loops.mp415.18MB

00047 How_to_Iterate_over_Dictionaries.mp424.9MB

00048 Object-Oriented_Programming.mp444.05MB

00049 Modules_Packages_and_the_Python_Standard_Library.mp447.51MB

00050 Importing_Modules.mp424MB

00051 What_is_Software_Documentation.mp450.08MB

00052 The_Python_Documentation.mp483.24MB

00053 Must-Have_Packages_Fin_DSc.mp454.2MB

00054 Arrays.mp442.1MB

00055 Generating_Random_Numbers.mp422.89MB

00056 Using_Financial_Data_in_Python.mp422.88MB

00057 Importing_Data_Part_I.mp438.51MB

00058 Importing_Data_Part_II.mp4103.82MB

00059 Importing_Data_Part_III.mp449.46MB

00060 Changing_the_Index_of_Your_Time-Series_Data.mp446.49MB

00061 Restarting_the_Jupyter_Kernel.mp437.29MB

00062 Considering_Both_Risk_and_Return.mp429.74MB

00063 What_are_We_Going_to_See_Next.mp423.66MB

00064 Calculating_a_Security_s_Rate_of_Return.mp444.6MB

00065 Simple_Returns_Part_I.mp466.54MB

00066 Simple_Returns_Part_II.mp433.01MB

00067 Log_Returns.mp440.38MB

00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp420.69MB

00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp496.18MB

00070 Popular_Stock_Indices.mp430.63MB

00071 Calculating_the_Return_of_Indices.mp460.24MB

00072 How_Do_We_Measure_a_Security_s_Risk.mp454.62MB

00073 Calculating_a_Security_s_Risk_in_Python.mp466.9MB

00074 The_Benefits_of_Portfolio_Diversification.mp431.61MB

00075 Calculating_the_Covariance_between_Securities.mp428.65MB

00076 Measuring_the_Correlation_between_Securities.mp430.49MB

00077 Calculating_Covariance_and_Correlation.mp451.5MB

00078 Considering_the_Risk_of_Multiple_Securities.mp442.46MB

00079 Calculating_Portfolio_Risk.mp427.49MB

00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp424.7MB

00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp445.98MB

00082 Simple_Regression_Analysis.mp430.05MB

00083 Running_a_Regression_in_Python.mp460.27MB

00084 How_to_Distinguish_Good_Regressions.mp444.67MB

00085 Computing_Alpha_Beta_and_R2_in_Python.mp465.12MB

00086 Markowitz_Portfolio_Theory.mp461.39MB

00087 Obtaining_the_Efficient_Frontier_Part_I.mp456.76MB

00088 Obtaining_the_Efficient_Frontier_Part_II.mp472.04MB

00089 Obtaining_the_Efficient_Frontier_Part_III.mp425.02MB

00090 The_Intuition_Behind_the_CAPM.mp440.79MB

00091 Understanding_and_Calculating_Beta.mp435.93MB

00092 Calculating_the_Beta_of_a_Stock.mp440.37MB

00093 The_CAPM_Formula.mp435.18MB

00094 Calculating_the_Expected_Return_of_a_Stock.mp423.2MB

00095 Introducing_the_Sharpe_Ratio.mp419.31MB

00096 Obtaining_the_Sharpe_Ratio_in_Python.mp412.19MB

00097 Measuring_Alpha.mp432.72MB

00098 Multivariate_Regression_Analysis.mp445.77MB

00099 Running_a_Multivariate_Regression_in_Python.mp493.18MB

00100 The_Essence_of_Monte_Carlo_Simulations.mp421.73MB

00101 Monte_Carlo_in_Corporate_Finance.mp423.28MB

00102 MC_Predicting_Gross_Profit_Part_I.mp476.74MB

00103 MC_Predicting_Gross_Profit_Part_II.mp429.38MB

00104 Forecasting_Stock_Prices_with_an_MC_Simulation.mp430.27MB

00105 MC_Forecasting_Stock_Prices_Part_I.mp436.47MB

00106 MC_Forecasting_Stock_Prices_Part_II.mp449.84MB

00107 MC_Forecasting_Stock_Prices_Part_III.mp444.79MB

00108 An_Introduction_to_Derivative_Contracts.mp454.02MB

00109 The_Black_Scholes_Formula.mp440.34MB

00110 MC_Black_Scholes_Merton_Updated.mp462.76MB

00111 MC_Euler_Discretization_Part_I.mp467.68MB

00112 MC_Euler_Discretization_Part_II.mp419.07MB