{"id":33993,"date":"2024-06-15T15:43:44","date_gmt":"2024-06-15T15:43:44","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a7%d9%85%d9%88%d8%b1-%d9%85%d8%a7%d9%84%db%8c%d8%9b-%d8%a8%db%8c%d8%b4-%d8%a7%d8%b2-50-%d8%af%d8%b3%d8%aa\/"},"modified":"2024-06-15T12:14:51","modified_gmt":"2024-06-15T12:14:51","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a7%d9%85%d9%88%d8%b1-%d9%85%d8%a7%d9%84%db%8c%d8%9b-%d8%a8%db%8c%d8%b4-%d8%a7%d8%b2-50-%d8%af%d8%b3%d8%aa","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a7%d9%85%d9%88%d8%b1-%d9%85%d8%a7%d9%84%db%8c%d8%9b-%d8%a8%db%8c%d8%b4-%d8%a7%d8%b2-50-%d8%af%d8%b3%d8%aa\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0627\u0645\u0648\u0631 \u0645\u0627\u0644\u06cc\u061b \u0628\u06cc\u0634 \u0627\u0632 50 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u062f\u0631\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0631 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc"},"content":{"rendered":"

 <\/p>\n

\"\u062f\u0627\u0646\u0644\u0648\u062f<\/div>\n\n\n\n
\n

\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n

\n

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2020\u00a0\u00a0|\u00a0\u00a0426 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 33 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\nEryk Lewinson<\/td>\n<\/tr>\n
\u0646\u0627\u0634\u0631<\/td>\nPackt Publishing<\/td>\n<\/tr>\n
ISBN10:<\/td>\n1789618517<\/td>\n<\/tr>\n
ISBN13:<\/td>\n9781789618518<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas
\nKey FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data
\nExplore unique recipes for financial data analysis and processing with Python
\nEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description<\/p>\n

Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries.<\/p>\n

In this book, you’ll cover different ways of downloading financial data and preparing it for modeling. You’ll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you’ll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You’ll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you’ll work through an entire data science project in the financial domain. You’ll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You’ll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you’ll focus on learning how to use deep learning (PyTorch) for approaching financial tasks.<\/p>\n

By the end of this book, you\u2019ll have learned how to effectively analyze financial data using a recipe-based approach.
\nWhat you will learn<\/p>\n

Download and preprocess financial data from different sources
\nBacktest the performance of automatic trading strategies in a real-world setting
\nEstimate financial econometrics models in Python and interpret their results
\nUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessment
\nImprove the performance of financial models with the latest Python libraries
\nApply machine learning and deep learning techniques to solve different financial problems
\nUnderstand the different approaches used to model financial time series data<\/p>\n

Who this book is for<\/p>\n

This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
\nTable of Contents<\/p>\n

Financial Data and Preprocessing
\nTechnical Analysis in Python
\nTime Series Modelling
\nMulti-factor Models
\nModeling Volatility with GARCH class models
\nMonte Carlo Simulations in Finance
\nAsset Allocation in Python
\nIdentifying Credit Default with Machine Learning
\nAdvanced Machine Learning Models in Finance
\nDeep Learning in Finance<\/p>\n<\/div>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

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\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n

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\n\u062f\u0633\u062a\u0648\u0631 \u0627\u0644\u0639\u0645\u0644 \u0647\u0627\u06cc \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0648 \u067e\u0631\u062f\u0627\u0632\u0634 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646 \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f
\n\u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0645\u062d\u0628\u0648\u0628 \u0645\u0627\u0646\u0646\u062f CAPM \u0648 GARCH \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062d\u0644 \u0645\u0633\u0626\u0644\u0647 \u062a\u062e\u0645\u06cc\u0646 \u0628\u0632\u0646\u06cc\u062f<\/p>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n

\u067e\u0627\u06cc\u062a\u0648\u0646 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u062d\u0628\u0648\u0628 \u062a\u0631\u06cc\u0646 \u0632\u0628\u0627\u0646 \u0647\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0635\u0646\u0639\u062a \u0645\u0627\u0644\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0639\u0638\u06cc\u0645\u06cc \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0647\u0645\u0631\u0627\u0647 \u0631\u0627 \u062f\u0627\u0631\u062f.<\/p>\n

\u062f\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0648 \u062a\u0647\u06cc\u0647 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc \u062f\u0647\u06cc\u062f.\u0634\u0645\u0627 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0641\u0646\u06cc \u060c \u0645\u0627\u0646\u0646\u062f \u06af\u0631\u0648\u0647\u0647\u0627\u06cc \u0628\u0648\u0644\u06cc\u0646\u06af\u0631 \u060c MACD \u060c RSI \u0648 \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0647\u0627\u06cc \u0645\u0639\u0627\u0645\u0644\u0627\u062a\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 Backtest \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f \u060c \u0642\u0628\u0644 \u0627\u0632 \u06a9\u0627\u0648\u0634 \u062f\u0631 CAPM \u0645\u062d\u0628\u0648\u0628 \u0648 \u0645\u062f\u0644 \u0633\u0647 \u0639\u0627\u0645\u0644\u06cc Fama-French \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0648 \u0645\u062f\u0644 \u0647\u0627 \u060c \u0645\u0627\u0646\u0646\u062f \u0635\u0627\u0641 \u06a9\u0631\u062f\u0646 \u0646\u0645\u0627\u06cc\u06cc \u060c ARIMA \u0648 GARCH (\u0627\u0632 \u062c\u0645\u0644\u0647 \u0645\u0634\u062e\u0635\u0627\u062a \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647) \u0631\u0627 \u067e\u0648\u0634\u0634 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u062f.\u0633\u067e\u0633 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u062d\u0648\u0647 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062a\u062e\u0635\u06cc\u0635 \u062f\u0627\u0631\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0634\u0641 \u06a9\u0631\u062f\u0647 \u0648 \u0627\u0632 \u0634\u0628\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0645\u0648\u0646\u062a \u06a9\u0627\u0631\u0644\u0648 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0645\u062d\u0627\u0633\u0628\u0647 \u0642\u06cc\u0645\u062a \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0622\u0645\u0631\u06cc\u06a9\u0627\u06cc\u06cc \u0648 \u0628\u0631\u0622\u0648\u0631\u062f \u0627\u0631\u0632\u0634 \u062f\u0631 \u0631\u06cc\u0633\u06a9 (VAR) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.\u062f\u0631 \u0641\u0635\u0644 \u0647\u0627\u06cc \u0628\u0639\u062f\u06cc \u060c \u0634\u0645\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u06a9\u0644 \u0639\u0644\u0648\u0645 \u062f\u0627\u062f\u0647 \u062f\u0631 \u062d\u0648\u0632\u0647 \u0645\u0627\u0644\u06cc \u06a9\u0627\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u0622\u0645\u0648\u0632\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0645\u0627\u0646\u0646\u062f Forest Random Forest \u060c XGBoost \u060c LightGBM \u0648 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0646\u0628\u0627\u0634\u062a\u0647 \u060c \u06a9\u0644\u0627\u0647\u0628\u0631\u062f\u0627\u0631\u06cc \u06a9\u0627\u0631\u062a \u0627\u0639\u062a\u0628\u0627\u0631\u06cc \u0648 \u0645\u0634\u06a9\u0644\u0627\u062a \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0631\u0627 \u062d\u0644 \u06a9\u0646\u06cc\u062f.\u0633\u067e\u0633 \u0634\u0645\u0627 \u0642\u0627\u062f\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u06a9\u0647 HyperParameters \u0645\u062f\u0644 \u0647\u0627 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f\u0647 \u0648 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u06a9\u0644\u0627\u0633 \u0631\u0627 \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0646\u06cc\u062f.\u0633\u0631\u0627\u0646\u062c\u0627\u0645 \u060c \u0634\u0645\u0627 \u0631\u0648\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u062d\u0648\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Pytorch) \u0628\u0631\u0627\u06cc \u0646\u0632\u062f\u06cc\u06a9 \u0634\u062f\u0646 \u0628\u0647 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u062a\u0645\u0631\u06a9\u0632 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

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\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n

\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0631\u0627 \u0627\u0632 \u0645\u0646\u0627\u0628\u0639 \u0645\u062e\u062a\u0644\u0641 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u06a9\u0646\u06cc\u062f
\nBacktest \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0647\u0627\u06cc \u0645\u0639\u0627\u0645\u0644\u0627\u062a\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u0648\u0627\u0642\u0639\u06cc
\n\u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u0642\u062a\u0635\u0627\u062f \u0633\u0646\u062c\u06cc \u0645\u0627\u0644\u06cc \u0631\u0627 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062a\u062e\u0645\u06cc\u0646 \u0628\u0632\u0646\u06cc\u062f \u0648 \u0646\u062a\u0627\u06cc\u062c \u0622\u0646\u0647\u0627 \u0631\u0627 \u062a\u0641\u0633\u06cc\u0631 \u06a9\u0646\u06cc\u062f
\n\u0627\u0632 \u0634\u0628\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0647\u0627\u06cc \u0645\u0648\u0646\u062a \u06a9\u0627\u0631\u0644\u0648 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u0634\u062a\u0642\u0627\u062a \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0631\u06cc\u0633\u06a9 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f
\n\u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0631\u0627 \u0628\u0627 \u0622\u062e\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647\u0628\u0648\u062f \u0628\u062e\u0634\u06cc\u062f
\n\u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u0645\u0627\u0644\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0631\u0648\u0634\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f
\n\u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0645\u0627\u0644\u06cc \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f<\/p>\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u06cc \u0627\u0633\u062a<\/p>\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u0627\u0646 \u0645\u0627\u0644\u06cc \u060c \u062a\u062d\u0644\u06cc\u0644\u06af\u0631\u0627\u0646 \u062f\u0627\u062f\u0647 \u0648 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u0646\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0648\u0638\u0627\u06cc\u0641 \u0631\u0627 \u062f\u0631 \u062d\u0648\u0632\u0647 \u0645\u0627\u0644\u06cc \u0627\u062c\u0631\u0627 \u06a9\u0646\u0646\u062f.\u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u062a\u062f\u0648\u06cc\u0646 \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0627\u0644\u06cc \u06a9\u0627\u0631\u0622\u0645\u062f \u0646\u06cc\u0632 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0631\u0627 \u0645\u0641\u06cc\u062f \u0645\u06cc \u062f\u0627\u0646\u0646\u062f.\u062f\u0627\u0646\u0634 \u06a9\u0627\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0645\u0624\u062b\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u062a\u062d\u062a \u067e\u0648\u0634\u0634 \u062f\u0631 \u06a9\u062a\u0627\u0628 \u0627\u0644\u0632\u0627\u0645\u06cc \u0627\u0633\u062a.
\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n

\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc \u0648 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634
\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0641\u0646\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646
\n\u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc
\n\u0645\u062f\u0644 \u0647\u0627\u06cc \u0686\u0646\u062f \u0639\u0627\u0645\u0644\u06cc
\n\u0646\u0648\u0633\u0627\u0646\u0627\u062a \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0628\u0627 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06a9\u0644\u0627\u0633 Garch
\n\u0634\u0628\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0645\u0648\u0646\u062a \u06a9\u0627\u0631\u0644\u0648 \u062f\u0631 \u0627\u0645\u0648\u0631 \u0645\u0627\u0644\u06cc
\n\u062a\u062e\u0635\u06cc\u0635 \u062f\u0627\u0631\u0627\u06cc\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646
\n\u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u0639\u062a\u0628\u0627\u0631 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646
\n\u0645\u062f\u0644\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u0627\u0645\u0648\u0631 \u0645\u0627\u0644\u06cc
\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062f\u0631 \u0627\u0645\u0648\u0631 \u0645\u0627\u0644\u06cc
\n
\r\n\r\n\t\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t
\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t
\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t
\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t
\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t
\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t

\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n
\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"

  \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data […]<\/p>\n","protected":false},"featured_media":33994,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[196,251,243],"product_tag":[],"class_list":{"0":"post-33993","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-196","7":"product_cat-251","8":"product_cat-243","9":"pmpro-has-access","10":"desktop-align-left","11":"tablet-align-left","12":"mobile-align-left","14":"first","15":"instock","16":"shipping-taxable","17":"purchasable","18":"product-type-variable"},"yoast_head":"\n\u06a9\u062a\u0627\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0627\u0645\u0648\u0631 \u0645\u0627\u0644\u06cc\u061b \u0628\u06cc\u0634 \u0627\u0632 50 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u062f\u0631\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0631 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u0644\u06cc - 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