Download or read book Cultivating The Mind Of Love EasyRead Large Bold Edition written by Thich Nhat Hanh and published by ReadHowYouWant.com. This book was released on 2008 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Cultivating the Mind of Love written by Thich Nhat Hanh and published by ReadHowYouWant. This book was released on 2009-05-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: I am continually amazed at how Thich Nhat Hanh is able to translate the Buddhist tradition into everyday life and make it relevant and helpful for so many people. Cultivating the Mind of Love just might be my favorite book of his....

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Download or read book Cultivating the Mind of Love written by Thich Nhat Hanh and published by . This book was released on 1996-09-01 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book The 100 Absolutely Unbreakable Laws of Business Success written by Brian Tracy and published by Berrett-Koehler Publishers. This book was released on 2002-01-11 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why are some people more successful in business? Why do some businesses flourish where others fail? Renowned business speaker and author, Brian Tracy, tackles these puzzling questions through a set of principles or universal laws one needs to follow to become successful in the world of business. In The 100 Absolutely Unbreakable Laws of Business Success, Tracy draws on his thirty years of experience and knowledge to present a set of principles or "universal laws" that lie behind the success of business people everywhere, in every kind of enterprise, large and small. These are natural laws, he says, and they work everywhere and for everyone, virtually without exception. Every year, thousands of companies underperform or even fail and millions of individuals underachieve, frustrated by thwarted ambition and dreams-all because they either attempted to violate or did not know these universal laws. But ignorance of the law is no excuse! Tracy breaks the 100 laws down into nine major categories: Life, Success, Business, Leadership, Money, Economics, Selling, Negotiating, and Time Management. Drawing on a lifetime of observation, investigation, and experience, Tracy not only identifies and defines each law, he also reveals its source and foundation, whether in science, nature, philosophy, experience, or common sense. He illustrates how it functions in the world using real-life anecdotes and examples shows how to apply it to your life and work through specific questions and practical steps and exercises that everyone can use-sometimes in just minutes-to begin the journey toward greater business success.

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 Teaching Graphic Design written by Steven Heller and published by Simon and Schuster. This book was released on 2017-09-26 with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt: More Than Sixty Course Syllabi That Bring the New Complexity of Graphic Design to Light All graphic designers teach, yet not all graphic designers are teachers. Teaching is a special skill requiring talent, instinct, passion, and organization. But while talent, instinct, and passion are inherent, organization must be acquired and can usually be found in a syllabus. Teaching Graphic Design, Second Edition, contains syllabi that are for all practicing designers and design educators who want to enhance their teaching skills and learn how experienced instructors and professors teach varied tools and impart the knowledge needed to be a designer in the current environment. This second edition is newly revised to include more than thirty new syllabi by a wide range of professional teachers and teaching professionals who address the most current concerns of the graphic design industry, including product, strategic, entrepreneurial, and data design as well as the classic image, type, and layout disciplines. Some of the new syllabi included are: Expressive Typography Designer as Image Maker Emerging Media Production Branding Corporate Design Graphic Design and Visual Culture Impact! Design for Social Change And many more Beginning with first through fourth year of undergraduate courses and ending with a sampling of graduate school course options, Teaching Graphic Design, Second Edition, is the most comprehensive collection of courses for graphic designers of all levels.

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.