Degunking Linux
Download Degunking Linux PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Degunking Linux book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Degunking Linux
Linux has grown in popularity and is increasingly being adopted by home users and others who laud this nearly un-crashable, free operating system. But setting up a Linux OS can be tricky and time consuming. And managing a Linux system can be even more difficult if you don't have the right knowledge. Degunking Linux expertly shows readers how to save time (and money) by performing a number of important degunking tasks. With Degunking Linux's easy 12-step program, users will learn what Linux gunk is, how to keep their Linux desktop clean and organized, how to better manage personal and system-related files, how to make applications ran their best, how to get gunky and incompatible drivers and hardware to run smoothly, how to protect their precious data from dangerous viruses and hackers, how to clean up and improve Linux's security features, and much more. Linux users will learn the causes of sluggish performance and how to apply smart solutions to improve overall system performance.
Degunking EBay
Degunking(TM) eBay is the smart guide for buyers and sellers who want to really fine-tune and optimize their eBay experiences, regardless whether they are buying or selling products, or building an eBay-based business. Written in the conversational, no-nonsense approach that has made the Degunking(TM) series a huge success, this book can help save you tons of time and money with your eBay activities. It provides a wealth of valuable "clutter reduction" and organization tips for both buyers and sellers. Buyers will learn insider tips and tricks to search through massive amounts of product listings to find what they want, and then to bid and complete successful transactions. Sellers will learn how to assess their markets, find how to get the best price for their merchandise, and how to write attention-grabbing copy.Whether you are buying or selling, you'll get the best results if you have a winning strategy. Avid eBay-er and best-selling author Greg Holden will show you techniques for bidding that will greatly increase your chances of winning auctions. And he offers important information to help you avoid defective merchandise, problem sellers and scams, and where to turn if you do have a problem. eBay sellers will learn techniques for getting their items noticed, making their items look attractive in postings, marketing their products, degunking and streamlining eBay features for sellers, setting up clutter free up eBay Stores, and learning how to research and take advantage of the hot trends. This book gives all eBay users the opportunity to profit from their bursting closets and garages.
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R
Author: Samuel E. Buttrey
language: en
Publisher: John Wiley & Sons
Release Date: 2017-10-24
The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more. The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process Provides expert guidance on how to document the processes described so that they are reproducible Written by seasoned professionals, it provides both introductory and advanced techniques Features case studies with supporting data and R code, hosted on a companion website A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.