Download or read book Haunted Spaces Sacred Places EasyRead Super Large 20pt Edition written by and published by ReadHowYouWant.com. This book was released on with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Haunted Spaces Sacred Places written by Brian Haughton and published by ReadHowYouWant.com. This book was released on 2009-03-31 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: WHAT IS BEHIND THE STRANGE PHENOMENA AT OUR WORLD's ANCIENT SITES? Haunted Spaces, Sacred Places is a fascinating and thoroughly researched exploration of the archaeology, legends, and modern mysteries of 32 ancient places throughout the world - from the mysterious megaliths of Britain and Ireland, the haunted tombs of the Etruscans, and the Pagan origins of Germany's Aachen Cathedral to the ancient Native American city of Cahokia, the enigmatic Cambodian Temple of Angkor Wat, and the sacred Aboriginal rock formation of Uluru. Why are strange phenomena so often connected with these ancient sites? Are certain sacred places somehow able to generate or attract paranormal phenomena? Or can such events be explained in terms of modern myth and contemporary folklore? What can the legends and folklore of ancient places throughout the world reveal to us about the beliefs and ideas of our ancient ancestors? These are just some of the questions answered in Brian Haughton's enthralling book.
Download or read book Our Haunted Lives Easyread Super Large 20pt Edition written by and published by ReadHowYouWant.com. This book was released on with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Confessions of an Economic Hit Man written by John Perkins and published by Berrett-Koehler Publishers. This book was released on 2004-11-09 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perkins, a former chief economist at a Boston strategic-consulting firm, confesses he was an "economic hit man" for 10 years, helping U.S. intelligence agencies and multinationals cajole and blackmail foreign leaders into serving U.S. foreign policy and awarding lucrative contracts to American business.
Download or read book The Crucible written by Arthur Miller and published by . This book was released on 1982 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2014-12-11 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book The New Confessions of an Economic Hit Man written by John Perkins and published by Berrett-Koehler Publishers. This book was released on 2016-02-09 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring 15 explosive new chapters, this new edition of the New York Times bestseller brings the story of Economic Hit Men up-to-date and, chillingly, home to the U.S.―but it also gives us hope and the tools to fight back. Former economic hit man John Perkins shares new details about the ways he and others cheated countries around the globe out of trillions of dollars. Then he reveals how the deadly EHM cancer he helped create has spread far more widely and deeply than ever in the US and everywhere else—to become the dominant system of business, government, and society today. Finally, he gives an insider view of what we each can do to change it. Economic hit men are the shock troops of what Perkins calls the corporatocracy, a vast network of corporations, banks, colluding governments, and the rich and powerful people tied to them. If the EHMs can't maintain the corrupt status quo through nonviolent coercion, the jackal assassins swoop in. The heart of this book is a completely new section, over 100 pages long, that exposes the fact that all the EHM and jackal tools—false economics, false promises, threats, bribes, extortion, debt, deception, coups, assassinations, unbridled military power—are used around the world today exponentially more than during the era Perkins exposed over a decade ago. As dark as the story gets, this reformed EHM also provides hope. Perkins offers specific actions each of us can take to transform what he calls a failing Death Economy into a Life Economy that provides sustainable abundance for all.
Download or read book Python for Finance Cookbook written by Eryk Lewinson and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2020-10-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Mastering Python for Finance written by James Ma Weiming and published by Packt Publishing Ltd. This book was released on 2015-04-29 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Python for Finance written by Yuxing Yan and published by Packt Publishing Ltd. This book was released on 2014-04-25 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Hands On Python for Finance written by Krish Naik and published by . This book was released on 2019-03-29 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Mastering Python for Finance written by James Ma Weiming and published by Packt Publishing Ltd. This book was released on 2019-04-30 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook Description The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and sklearn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis. What you will learnSolve linear and nonlinear models representing various financial problemsPerform principal component analysis on the DOW index and its componentsAnalyze, predict, and forecast stationary and non-stationary time series processesCreate an event-driven backtesting tool and measure your strategiesBuild a high-frequency algorithmic trading platform with PythonReplicate the CBOT VIX index with SPX options for studying VIX-based strategiesPerform regression-based and classification-based machine learning tasks for predictionUse TensorFlow and Keras in deep learning neural network architectureWho this book is for If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.
Download or read book The Microsoft SQL Server 2000 Performance Optimization and Tuning Handbook written by Ken England and published by Digital Press. This book was released on 2001-03-27 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of the bestselling guide to a critical SQL server task teaches tools, techniques, and best practices readers can use to tune SQL Server 2000's configuration and operation, and learn how to enhance performance through good physical design, effective internal storage structures, and controlling SQL Server's new query optimizer.
Download or read book Read This to Get Smarter written by Blair Imani and published by Ten Speed Press. This book was released on 2021-10-26 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: An approachable guide to being an informed, compassionate, and socially conscious person today—from discussions of race, gender, and sexual orientation to disability, class, and beyond—from critically acclaimed historian, educator, and author Blair Imani. “Blair answers the questions that so many of us are asking.”—Layla F. Saad, author of Me and White Supremacy We live in a time where it has never been more important to be knowledgeable about a host of social issues, and to be confident and appropriate in how to talk about them. What’s the best way to ask someone what their pronouns are? How do you talk about racism with someone who doesn’t seem to get it? What is intersectionality, and why do you need to understand it? While it can seem intimidating or overwhelming to learn and talk about such issues, it’s never been easier thanks to educator and historian Blair Imani, creator of the viral sensation Smarter in Seconds videos. Accessible to learners of all levels—from those just getting started on the journey to those already versed in social justice—Read This to Get Smarter covers a range of topics, including race, gender, class, disability, relationships, family, power dynamics, oppression, and beyond. This essential guide is a radical but warm and non-judgmental call to arms, structured in such a way that you can read it cover to cover or start with any topic you want to learn more about. With Blair Imani as your teacher, you’ll “get smarter” in no time, and be equipped to intelligently and empathetically process, discuss, and educate others on the crucial issues we must tackle to achieve a liberated, equitable world.
Download or read book The New Moody Atlas of the Bible written by Barry J. Beitzel and published by Moody Publishers. This book was released on 2009 with total page 1273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition integrates the geography of Bible lands with the teachings of the Bible, providing useful commentary for more than 90 detailed maps of Palestine, the Mediterranean, the Near East, the Sinai, and Turkey.
Download or read book The Microbiological Risk Assessment of Food written by Stephen J. Forsythe and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Microbiological Risk Assessment of Food follows on from the author's successful book The Microbiology of Safe Food and provides a detailed analysis of the subject area including cutting-edge information on: foodborne pathogens in world trade; food safety, control and HACCP; risk analysis; the application of microbiological risk assessment (MRA) and likely future developments in the techniques and applications of MRA. This important book focuses on what is an acceptable level of risk to consumers associated with eating food, on a daily basis, which does contain bacteria. An extremely important addition to the available literature, providing a thorough synthesis that will be an essential purchase for all those involved with issues relating to safe food. Copies of the book should be available to practitioners in food companies and academia, including food microbiologists, food scientists and technologists, to consultants and to all those studying or teaching food microbiology. Personnel in government regulatory and public and environmental health capacities will find much of use within the covers of this book. Copies of the book should also be available in the libraries of all research establishments and university departments where food science, food technology and microbiology are studied and taught. Stephen J. Forsythe is Reader in Microbiology at the Department of Life Sciences, Nottingham Trent University, UK. Cover Photograph: Lactobacillus case Shirota by kind permission and courtesy of Yakult UK Ltd.
