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Emptiness Dancing Volume 1 Of 2 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 Emptiness Dancing Volume 1 Of 2 Easyread Super Large 24pt Edition book. This book definitely worth reading, it is an incredibly well-written.
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 318 pages
File Size : 46,8 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9781442973121
Author : Adyashanti
Publisher : Readhowyouwant
Page : 304 pages
File Size : 51,5 Mb
Release : 2009-04-10
Category : Self-Help
ISBN : 1442973064
Who are you when you are not thinking yourself into existence? What is ultimately behind the set of eyes reading these words? In Emptiness Dancing, Adyashanti invites you to wake up to the essence of what you are, through the natural and spontaneous opening of mind, heart, and body that holds the secret to happiness and liberation.
Author : Adyashanti
Publisher : Readhowyouwant
Page : 316 pages
File Size : 47,8 Mb
Release : 2009-04
Category : Self-Help
ISBN : 1442973099
The author of "The Impact of Awakening" and "My Secret Is Silence" explains how to wake up one's essence through the natural and spontaneous opening of mind, heart, and body--an action that holds the secret to happiness and liberation.
Author : Adyashanti
Publisher : Readhowyouwant
Page : 332 pages
File Size : 43,8 Mb
Release : 2009-04-10
Category : Self-Help
ISBN : 1442973080
Who are you when you are not thinking yourself into existence? What is ultimately behind the set of eyes reading these words? In Emptiness Dancing, Adyashanti invites you to wake up to the essence of what you are, through the natural and spontaneous opening of mind, heart, and body that holds the secret to happiness and liberation.
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 442 pages
File Size : 40,9 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9781458728302
Author : Roger Zelazny
Publisher : Hachette UK
Page : 298 pages
File Size : 50,5 Mb
Release : 2023-05-11
Category : Fiction
ISBN : 9781473234970
Imagine a distant world where gods walk as men, but wield vast and hidden powers. Here they have made the stage on which they build a subtle pattern of alliance, love, and deadly enmity. Are they truly immortal? Who are these gods who rule the destiny of a teeming world? Their names include Brahma, Kali, Krishna and also he who was called Buddha, the Lord of Light, but who now prefers to be known simply as Sam. The gradual unfolding of the story -- how the colonization of another planet became a re-enactment of Eastern mythology -- is one of the great imaginative feats of modern science fiction. Winner of the Hugo Award for best novel, 1968.
Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
Page : 989 pages
File Size : 44,5 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 : Oscar Wilde
Publisher : Books for Libraries
Page : 320 pages
File Size : 53,5 Mb
Release : 1972
Category : Electronic
ISBN : UOM:39076005026740
Author : Eryk Lewinson
Publisher : Packt Publishing Ltd
Page : 426 pages
File Size : 51,5 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 : 45,8 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 : 51,6 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 : Oscar Wilde
Publisher : ReadHowYouWant.com
Page : 114 pages
File Size : 45,6 Mb
Release : 2008-08-15
Category : Electronic
ISBN : 9781427056986
The Rise of Historical Criticism, published in complete form in 1908, is a mature essay by Oscar Wilde, evaluating the history and current state of criticism. The writer goes back in history and tries to remould the art of criticism with allusions to various critics, genres, and periods. Filled with wit and sublimity, the essay is a comprehensive piece of writing that enlightens the ordinary sense through innovative spirit.
Author : Yuxing Yan
Publisher : Packt Publishing Ltd
Page : 408 pages
File Size : 54,9 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 : Philip Gardiner
Publisher : Reality Press
Page : 160 pages
File Size : 53,8 Mb
Release : 2006
Category : Architecture
ISBN : 0977790436
Secrets of the Serpent: In Search of the Sacred Past by Philip Gardiner Across time and across the world, an ancient serpent cult once dominated mankind. Then a great battle ensued and Christianity stamped it's authority on the face of the planet. Now, after years of research, the real religious history of the world can be told. In Secrets of the Serpent, Philip Gardiner for the first time reveals the world's most mysterious places were once sacred to the Serpent Cult. The history and mythology of the so-called reptilian agenda and alien visitation in ancient times now has a solid opponent - giving answers for the many symbols and myths often confused by those who believe in such things. In Secrets of the Serpent, the author reveals the real "bloodline" spoken of by Dan Brown in the Da Vinci Code- it was in fact a serpent bloodline. Philip Gardiner is the international best selling author of The Shining Ones, The Serpent Grail, Gnosis: The Secret of Solomon's Temple Revealed and Proof - Does God Exist? He has appeared on hundreds of radio and television programs worldwide speaking on religion and propaganda. He has infiltrated various secret societies and been initiated into Orders many people had thought were long forgotten. Committed to the constant struggle to uncover the real history of mankind and the unraveling of manipulative propaganda, he has come up against many obstacles and yet in his book, The Serpent Grail he reveals a truth about the Holy Grail that gained the backing of academia and scholars. The truth shall be found in the Secrets of the Serpent
Author : Krish Naik
Publisher : Unknown
Page : 378 pages
File Size : 43,6 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.