Price: $0.99
(as of Dec 08, 2024 18:53:53 UTC – Details)

“A cheerful manifesto on removing obstacles between yourself and the income of your dreams.” (New York Magazine)

From the number-one New York Times best-selling author of You Are a Badass, a life-changing guide to making the kind of money you’ve only ever dreamed of

You Are a Badass at Making Money will launch you past the fears and stumbling blocks that have kept financial success beyond your reach. Drawing on her own transformation – over just a few years – from a woman living in a converted garage with tumbleweeds blowing through her bank account to a woman who travels the world in style, Jen Sincero channels the inimitable sass and practicality that made You Are a Badass an indomitable best seller. She combines hilarious personal essays with bite-size, aha concepts that unlock earning potential and get real results.

Learn to:

Uncover what’s holding you back from making money Give your doubts, fears, and excuses the heave-hoRelate to money in a new (and lucrative) wayShake up the cocktail of creation Tap into your natural ability to grow richShape your reality – stop playing victim to circumstanceGet as wealthy as you wanna be

“This book truly crystallizes the concept that financial abundance is an inside job – in that it all begins with your mindset – and Sincero gets serious (in the funniest ways possible) about helping you identify your particular limiting beliefs surrounding money.” (PopSugar)

Price: $26.99 - $11.31
(as of Dec 08, 2024 11:33:13 UTC – Details)

#1 New York Times Bestseller • More than 10 million Copies Sold

In this generation-defining self-help guide, a superstar blogger cuts through the crap to show us how to stop trying to be “positive” all the time so that we can truly become better, happier people.

For decades, we’ve been told that positive thinking is the key to a happy, rich life. “F**k positivity,” Mark Manson says. “Let’s be honest, shit is f**ked and we have to live with it.” In his wildly popular Internet blog, Manson doesn’t sugarcoat or equivocate. He tells it like it is—a dose of raw, refreshing, honest truth that is sorely lacking today. The Subtle Art of Not Giving a F**k is his antidote to the coddling, let’s-all-feel-good mindset that has infected modern society and spoiled a generation, rewarding them with gold medals just for showing up.

Manson makes the argument, backed both by academic research and well-timed poop jokes, that improving our lives hinges not on our ability to turn lemons into lemonade, but on learning to stomach lemons better. Human beings are flawed and limited—”not everybody can be extraordinary, there are winners and losers in society, and some of it is not fair or your fault.” Manson advises us to get to know our limitations and accept them. Once we embrace our fears, faults, and uncertainties, once we stop running and avoiding and start confronting painful truths, we can begin to find the courage, perseverance, honesty, responsibility, curiosity, and forgiveness we seek.

There are only so many things we can give a f**k about so we need to figure out which ones really matter, Manson makes clear. While money is nice, caring about what you do with your life is better, because true wealth is about experience. A much-needed grab-you-by-the-shoulders-and-look-you-in-the-eye moment of real-talk, filled with entertaining stories and profane, ruthless humor, The Subtle Art of Not Giving a F*ck is a refreshing slap for a generation to help them lead contented, grounded lives.

Price: $37.99
(as of Dec 08, 2024 03:44:45 UTC – Details)

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems

Purchase of the print or Kindle book includes a free eBook in the PDF format

Key FeaturesExplore unique recipes for financial data processing and analysis with PythonApply classical and machine learning approaches to financial time series analysisCalculate various technical analysis indicators and backtest trading strategiesBook Description

Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.

You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.

Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.

What you will learnPreprocess, analyze, and visualize financial dataExplore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning modelsUncover advanced time series forecasting algorithms such as Meta’s ProphetUse Monte Carlo simulations for derivatives valuation and risk assessmentExplore volatility modeling using univariate and multivariate GARCH modelsInvestigate various approaches to asset allocationLearn how to approach ML-projects using an example of default predictionExplore modern deep learning models such as Google’s TabNet, Amazon’s DeepAR and NeuralProphetWho this book is for

This book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You’ll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems.

Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.

Table of ContentsAcquiring Financial DataData PreprocessingVisualizing Financial Time SeriesExploring Financial Time Series DataTechnical Analysis and Building Interactive DashboardsTime Series Analysis and ForecastingMachine Learning-Based Approaches to Time Series ForecastingMulti-Factor ModelsModelling Volatility with GARCH Class ModelsMonte Carlo Simulations in FinanceAsset AllocationBacktesting Trading StrategiesApplied Machine Learning: Identifying Credit DefaultAdvanced Concepts for Machine Learning ProjectsDeep Learning in Finance