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The Old Dominion In The Seventeenth Century Volume 3 Of 3 Easyread Super Large 24pt Edition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of The Old Dominion In The Seventeenth Century Volume 3 Of 3 Easyread Super Large 24pt Edition book. This book definitely worth reading, it is an incredibly well-written.
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 542 pages
File Size : 47,8 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9781442961418
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 514 pages
File Size : 42,7 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9781442960954
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 518 pages
File Size : 51,6 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9781442961401
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 402 pages
File Size : 40,7 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9781442961135
Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
Page : 750 pages
File Size : 51,8 Mb
Release : 2014-12-11
Category : Computers
ISBN : 9781491945384
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
Author : Eryk Lewinson
Publisher : Packt Publishing Ltd
Page : 426 pages
File Size : 53,8 Mb
Release : 2020-01-31
Category : Computers
ISBN : 9781789617320
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. 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. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for 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.
Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
Page : 478 pages
File Size : 48,8 Mb
Release : 2020-10-14
Category : Business & Economics
ISBN : 9781492055389
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
Author : James Ma Weiming
Publisher : Packt Publishing Ltd
Page : 340 pages
File Size : 44,5 Mb
Release : 2015-04-29
Category : Computers
ISBN : 9781784397876
If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Author : Paul Enns
Publisher : Moody Publishers
Page : 816 pages
File Size : 45,7 Mb
Release : 2014-03-27
Category : Religion
ISBN : 9780802491152
The study of God, His nature, and His Word are all essential to the Christian faith. Now those interested in Christian theology have a newly revised and updated reference tool in the 25th Anniversary Edition of The Moody Handbook of Theology. In this classic and timeless one-volume resource, Paul Enns offers a comprehensive overview of the five dimensions of theology: biblical, systematic, historical, dogmatic, and contemporary. Each section includes an introduction, chapters on key points, specific studies pertinent to that theology, books for further study, and summary evaluations of each dimension. Charts, graphs, glossary, and indexes add depth and breadth. Theology, once the domain of academicians and learned pastors, is now accessible to anyone interested in understanding the essentials of what Christians believe. The Moody Handbook of Theology is a concise doctrinal reference tool for newcomers and seasoned veterans alike.
Author : Krish Naik
Publisher : Unknown
Page : 378 pages
File Size : 52,6 Mb
Release : 2019-03-29
Category : Computers
ISBN : 1789346371
Learn and implement quantitative finance using popular Python libraries like NumPy, pandas, and Keras Key Features Understand Python data structure fundamentals and work with time series data Use popular Python libraries including TensorFlow, Keras, and SciPy to deploy key concepts in quantitative finance Explore various Python programs and learn finance paradigms Book Description Python is one of the most popular languages used for quantitative finance. With this book, you'll explore the key characteristics of Python for finance, solve problems in finance, and understand risk management. The book starts with major concepts and techniques related to quantitative finance, and an introduction to some key Python libraries. Next, you'll implement time series analysis using pandas and DataFrames. The following chapters will help you gain an understanding of how to measure the diversifiable and non-diversifiable security risk of a portfolio and optimize your portfolio by implementing Markowitz Portfolio Optimization. Sections on regression analysis methodology will help you to value assets and understand the relationship between commodity prices and business stocks. In addition to this, you'll be able to forecast stock prices using Monte Carlo simulation. The book will also highlight forecast models that will show you how to determine the price of a call option by analyzing price variation. You'll also use deep learning for financial data analysis and forecasting. In the concluding chapters, you will create neural networks with TensorFlow and Keras for forecasting and prediction. By the end of this book, you will be equipped with the skills you need to perform different financial analysis tasks using Python What you will learn Clean financial data with data preprocessing Visualize financial data using histograms, color plots, and graphs Perform time series analysis with pandas for forecasting Estimate covariance and the correlation between securities and stocks Optimize your portfolio to understand risks when there is a possibility of higher returns Calculate expected returns of a stock to measure the performance of a portfolio manager Create a prediction model using recurrent neural networks (RNN) with Keras and TensorFlow Who this book is for This book is ideal for aspiring data scientists, Python developers and anyone who wants to start performing quantitative finance using Python. You can also make this beginner-level guide your first choice if you're looking to pursue a career as a financial analyst or a data analyst. Working knowledge of Python programming language is necessary.
Author : Wayne A. Grudem
Publisher : Zondervan Academic
Page : 1617 pages
File Size : 43,9 Mb
Release : 2020-12-08
Category : Religion
ISBN : 9780310517993
This new edition of Systematic Theology by Wayne Grudem is one of the most important resources for helping you understand Scripture and grow as a Christian. The most widely used resource of the last 25 years in its area, Systematic Theology has been thoroughly revised and expanded for the first time while retaining the features that have made it the standard in its field: clear explanations, an emphasis on each doctrine's scriptural basis, and practical applications to daily life. With nearly 250 pages of new content and revisions, this new edition now includes the following distinctive features: Updated analysis of recent controversies within evangelical theology, including the eternal relationship between the Father and the Son in the Trinity, the role of women in the church, miraculous gifts of the Holy Spirit, and contemporary worship music. New discussion and critiques of recent theological controversies situated outside of traditional evangelical theology, such as open theism, the "new perspective on Paul," Molinism (or "middle knowledge"), "Free Grace" theology, and the preterist view of Christ's second coming. Completely revised chapter on the clarity of Scripture. Completely revised chapter on creation and evolution, including a longer critique of theistic evolution and an extensive discussion on the age of the earth. New discussion of how biblical inerrancy applies to some specific "problem verses" in the Gospels. Additional material explaining evangelical Protestant differences with Roman Catholicism, Protestant liberalism, and Mormonism. Completely updated bibliographies. All Scripture quotations updated from RSV to ESV. Updated section on contemporary worship music. Numerous other updates and corrections. Part of the brilliance of Systematic Theology has been its simplicity and ease of use. Each chapter follows the same structure: discussion of the doctrine being considered, an explanation of that doctrine's biblical support and possible objections, followed by personal application and key terms to know for personal growth. Chapters also include a Scripture memory passage, references to other literature on the topic, and suggested hymns and worship songs. If you think theology is hard to understand or boring, then this new edition of Systematic Theology will change your mind.
Author : Yuxing Yan
Publisher : Packt Publishing Ltd
Page : 653 pages
File Size : 43,5 Mb
Release : 2014-04-25
Category : Computers
ISBN : 9781783284382
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Author : Marcel Danesi
Publisher : University of Toronto Press
Page : 212 pages
File Size : 40,5 Mb
Release : 2020-09-10
Category : Social Science
ISBN : 9781487531034
Dating back to antiquity, semiotics is both a "technique" and a "science" that aims to understand the nature of meaning. An academic discipline in its own right, semiotics uses signs, such as words and symbols, to think, communicate, reflect, transmit, and preserve knowledge. Since the initial publication of The Quest for Meaning in 2007, the world has changed dramatically with the advent of online culture, new technologies, and new ways of making signs and symbols. Updated to reflect these many changes, the second edition includes a comprehensive chapter on the use of semiotics in the Internet age. Written in a student-friendly style, featuring examples from everyday life, the book explains what semiotics is all about and why it is so important for gaining insights into our elusive and mysterious human nature.
Author : Pamela Moss,Isabel Dyck
Publisher : Rowman & Littlefield Publishers
Page : 235 pages
File Size : 53,9 Mb
Release : 2003-04-14
Category : Social Science
ISBN : 9781461647324
This provocative and moving work explores concepts of body and space to better understand the daily lives and struggles of women with chronic illness. Moss and Dyck show how such women—coping with associated notions of illness, health, and being female—restructure their physical and social environments through the strategies they choose to accommodate disabling illnesses such as chronic fatigue syndrome, multiple sclerosis, or rheumatoid arthritis. Strategies might include disclosing or concealing illness from employers and friends; seeking or rejecting emotional support through old friends and new contacts; and pursuing or resisting specific diagnoses from the biomedical community. Featuring a wealth of original research and personal stories, Women, Body, Illness tells the tales of chronically ill women forging networks of support, redefining themselves, and challenging what it is to be ill.
Author : Samuel Henry Hooke
Publisher : Unknown
Page : 928 pages
File Size : 53,9 Mb
Release : 1949
Category : Bibles
ISBN : UOM:39015005361582