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Quicken® 2009 For Dummies
If just thinking about financial management gives you a headache, personal finance software is better than aspirin. Quicken is tops, and Quicken 2009 For Dummies is the quickest and easiest way to put it to work. Here's the plain-English guide to using the newest update of the nation's leading personal finance software. A leading CPA shows you how to track your finances day to day, keep your checkbook and pay bills online, and even plan for tax time with Quicken. Learn as much or as little as you need to know - just how to keep your checkbook straight, or even how Quicken helps manage stocks and the business end of rental property. Install and set up Quicken 2009, or update data files from a previous version Learn to make a budget that's flexible enough to work for your family or your business Keep your checkbook up to date, handle banking transactions online, and use Quicken calculators Print Quicken reports to help you track cash flow, identify missing checks, summarize spending, and more Set up tax-deferred or brokerage accounts and buy and sell securities Track your credit cards and bank accounts as well as mortgages, loans, and other debts Use Quicken's Home & Business or Rental Property Manager versions to keep your business books Handle payroll for business or household employees Track deductions to make tax preparation easier With Quicken 2009 For Dummies, you'll feel like a financial wizard!.
eBook
Ask the Expert Guide to Microsoft Money 2001
Microsoft Money 2001 may be simple enough to use if all you want to do is keep a checkbook. But if you want to do more, things quickly become complicated. And that's when the Ask the Expert Guide to Microsoft Money 2001 helps. Written by true experts, the Ask the Expert Guide to Microsoft Money 2001 provides easy-to-understand but expert help for people who want to use Money to better manage their financial affairs, more prudently manage their investments, and even more easily run a small business. Arranged in a question-and-answer format, the book supplies practical answers to all of the most common questions about Microsoft Money.
eBook
Personal finance with Python : using pandas, Requests, and Recurrent
Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together. In Personal Finance with Python you will learn Python and finance at the same time by creating a profit calculator, a currency converter, an amortization schedule, a budget, a portfolio rebalancer, and a purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and motivated by fun and interesting examples. Although this book assumes a minimal familiarity with programming and the Python language, if you don't have any, don't worry. Everything is built up piece-by-piece and the first chapters are conducted at a relaxed pace. You'll need Python 3.6 (or above) and all of the setup details are included. What You'll Learn Work with data in pandas Calculate Net Present Value and Internal Rate Return Query a third-party API with Requests Manage secrets Build efficient loops Parse English sentences with Recurrent Work with the YAML file format Fetch stock quotes and use Prophet to forecast the future Who This Book Is For Anyone interested in Python, personal finance, and/or both! This book is geared towards those who want to manage their money more effectively and to those who just want to learn or improve their Python.
Book
Professional financial computing using Excel and VBA
Often financial computing guidebooks provide only quick-and-dirty implementations of financial models, rarely related to real-world applications. Professional Financial Computing Using Excel and VBA provides reusable, flexible, real-world implementations of financial models. The book explores financial models, like derivatives pricings, market and credit risk modeling, and advanced interest rate modeling. With step-by-step instructions, this resource reviews fundamental financial theories and concepts, as well as alternative approaches to ensure a comprehensive understanding of the different techniques. This text is an ideal reference for graduate students studying financial engineering and computing.
eBook
Quicken 2009 For Dummies
If just thinking about financial management gives you a headache, personal finance software is better than aspirin. Quicken is tops, and Quicken 2009 For Dummies is the quickest and easiest way to put it to work. Here's the plain-English guide to using the newest update of the nation's leading personal finance software. A leading CPA shows you how to track your finances day to day, keep your checkbook and pay bills online, and even plan for tax time with Quicken. Learn as much or as little as you need to know - just how to keep your checkbook straight, or even how Quicken helps manage stocks and the business end of rental property. Install and set up Quicken 2009, or update data files from a previous version Learn to make a budget that's flexible enough to work for your family or your business Keep your checkbook up to date, handle banking transactions online, and use Quicken calculators Print Quicken reports to help you track cash flow, identify missing checks, summarize spending, and more Set up tax-deferred or brokerage accounts and buy and sell securities Track your credit cards and bank accounts as well as mortgages, loans, and other debts Use Quicken's Home & Business or Rental Property Manager versions to keep your business books Handle payroll for business or household employees Track deductions to make tax preparation easier With Quicken 2009 For Dummies, you'll feel like a financial wizard!.
Publication
Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review
With the rising demand for E-commerce, Social Networking websites, it has become essential to develop security protocols over the World Wide Web that can provide security and privacy to Internet users all over the globe. Several traditional encryption techniques and attack detection protocols can secure the data transmitted over public networks. However, hackers can effortlessly exploit them to acquire access to the users’ sensitive information such as user ID, session ID, cookies, passwords, bank account details, contact numbers, private PINs, database information, etc. Researchers have continuously innovated new techniques to build a secure and robust system that cannot be easily hacked and manipulated. Still, there is much scope for novelty to provide security against contemporary techniques used by intruders. The motivation of this survey is to observe the recent developments in Cross-Site Scripting attacks and techniques used by researchers to secure confidential information. Cross-Site Scripting (XSS) has been recognized as one of the top 10 online application security risks by the Open Web Application Security Project (OWASP) for decades. Therefore, dealing with this security flaw in web applications has become essential to avoid further personal and financial damage to Internet users and business organizations. There is a need for an extensive survey of recent XSS attack detection techniques that can provide the right direction to researchers and security professionals. We present a complete overview of recent machine learning and neural network-based XSS attack detection techniques in this paper, covering deep neural networks, decision trees, web-log-based detection models, and many more. This paper also highlights the research gaps that must be addressed while designing attack detection models. Further, challenges researchers face during the development of recent techniques are also discussed. Finally, future directions are provided to reflect on new concepts that can be used in forthcoming research works to improve XSS attack detection techniques.
Journal Article
Beyond subjective and objective in statistics
Decisions in statistical data analysis are often justified, criticized or avoided by using concepts of objectivity and subjectivity. We argue that the words 'objective' and 'subjective' in statistics discourse are used in a mostly unhelpful way, and we propose to replace each of them with broader collections of attributes, with objectivity replaced by transparency, consensus, impartiality and correspondence to observable reality, and subjectivity replaced by awareness of multiple perspectives and context dependence. Together with stability, these make up a collection of virtues that we think is helpful in discussions of statistical foundations and practice. The advantage of these reformulations is that the replacement terms do not oppose each other and that they give more specific guidance about what statistical science strives to achieve. Instead of debating over whether a given statistical method is subjective or objective (or normatively debating the relative merits of subjectivity and objectivity in statistical practice), we can recognize desirable attributes such as transparency and acknowledgement of multiple perspectives as complementary goals. We demonstrate the implications of our proposal with recent applied examples from pharmacology, election polling and socio-economic stratification. The aim of the paper is to push users and developers of statistical methods towards more effective use of diverse sources of information and more open acknowledgement of assumptions and goals.
Journal Article
Blocks and Chains
The new field of cryptographic currencies and consensus ledgers, commonly referred to as blockchains, is receiving increasing interest from various different communities. These communities are very diverse and amongst others include: technical enthusiasts, activist groups, researchers from various disciplines, start ups, large enterprises, public authorities, banks, financial regulators, business men, investors, and also criminals. The scientific community adapted relatively slowly to this emerging and fast-moving field of cryptographic currencies and consensus ledgers. This was one reason that, for quite a while, the only resources available have been the Bitcoin source code, blog and forum posts, mailing lists, and other online publications. Also the original Bitcoin paper which initiated the hype was published online without any prior peer review. Following the original publication spirit of the Bitcoin paper, a lot of innovation in this field has repeatedly come from the community itself in the form of online publications and online conversations instead of established peer-reviewed scientific publishing. On the one side, this spirit of fast free software development, combined with the business aspects of cryptographic currencies, as well as the interests of today's time-to-market focused industry, produced a flood of publications, whitepapers, and prototypes. On the other side, this has led to deficits in systematization and a gap between practice and the theoretical understanding of this new field. This book aims to further close this gap and presents a well-structured overview of this broad field from a technical viewpoint. The archetype for modern cryptographic currencies and consensus ledgers is Bitcoin and its underlying Nakamoto consensus. Therefore we describe the inner workings of this protocol in great detail and discuss its relations to other derived systems.
eBook