Download or read book Wrangling Wes written by Jacquelin Thomas and published by Kimani Press. This book was released on 2014 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lassoed by Love? What's a city girl like Lydia Emerson doing in Granger, Montana? Her movie-actress boss has given her plenty of strange assignments before, but this one trumps them all. Lydia must win herself a cowboy. And Wes Broward is not just any cowboy. As the millionaire son of the renowned Broward ranching dynasty, he is handsome and confident enough to be a movie star himself--and he knows it. Lydia uses all her L.A. savvy to land this bachelor at a cowboy auction. But "winning" Wes is only the start of her troubles. When one date leads to several, Lydia finds herself falling a little too hard for the charismatic cowboy. With her boss demanding all kinds of confidential information on the Broward clan, Lydia is wracked with guilt. She is just one short step away from losing it all. Will Wes bring her back into the safety in his arms--all in the name of love?

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Download or read book Wrangling Wes written by Jacquelin Thomas and published by HarperCollins Australia. This book was released on 2014-04-01 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lassoed by Love? What's a city girl like Lydia Emerson doing in Granger, Montana? Her movie–actress boss has given her plenty of strange assignments before, but this one trumps them all. Lydia must win herself a cowboy. And Wes Broward is not just any cowboy. As the millionaire son of the renowned Broward ranching dynasty, he is handsome and confident enough to be a movie star himself–and he knows it. Lydia uses all her L.A. savvy to land this bachelor at a cowboy auction. But "winning" Wes is only the start of her troubles. When one date leads to several, Lydia finds herself falling a little too hard for the charismatic cowboy. With her boss demanding all kinds of confidential information on the Broward clan, Lydia is wracked with guilt. She is just one short step away from losing it all. Will Wes bring her back into the safety in his arms–all in the name of love?

Download or read book Pandas Cookbook written by Theodore Petrou and published by Packt Publishing Ltd. This book was released on 2017-10-23 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.

Download or read book Data Wrangling with Python written by Jacqueline Kazil and published by "O'Reilly Media, Inc.". This book was released on 2016-02-04 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process

Download or read book If You Just Say Yes written by Reon Laudat and published by Macmillan + ORM. This book was released on 2005-02-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manhattan journalist Michelle Michaels just can't seem to get a break when she finds herself the subject of false rumors. Now she's being blindsided by her own boss. Wrongly suspecting her of trading sex for scoops, he's caved in to the shady newsroom gossip and sent Michelle quietly packing on a leave of absence to her hometown of Detroit where some family secrets still lurk. With a career on the DL and a love life at low-ebb, Michelle's hit rock bottom-until she meets dark, dimpled, and delicious Wesley Abbott... Detroit reporter Wesley Abbott's plate is full investigating a corrupt local judge. Now he's got something else to investigate-and she's the sweetest thing to sashay into the Herald in years. But Michelle and Wesley have more in common than they ever imagined, and it's not just mellow vibes. In fact, it's a scandal! And when these two bodies bump, so does trouble-with a capital T...

Download or read book Data Wrangling with Python written by Dr. Tirthajyoti Sarkar and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices. Key FeaturesFocus on the basics of data wranglingStudy various ways to extract the most out of your data in less timeBoost your learning curve with bonus topics like random data generation and data integrity checksBook Description For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain. The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You’ll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you’ll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets. By the end of this book, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. What you will learnUse and manipulate complex and simple data structuresHarness the full potential of DataFrames and numpy.array at run timePerform web scraping with BeautifulSoup4 and html5libExecute advanced string search and manipulation with RegEXHandle outliers and perform data imputation with PandasUse descriptive statistics and plotting techniquesPractice data wrangling and modeling using data generation techniquesWho this book is for Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Download or read book Hands On Data Analysis with Pandas written by Stefanie Molin and published by Packt Publishing Ltd. This book was released on 2021-04-29 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book DescriptionExtracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists looking to implement pandas in their machine learning workflow will also find plenty of valuable know-how as they progress. You’ll find it easier to follow along with this book if you have a working knowledge of the Python programming language, but a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2022-08-12 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Download or read book Hollywood Monster written by Robert Englund and published by Simon and Schuster. This book was released on 2009-10-03 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robert Englund, legendary star of A Nightmare on Elm Street, peels back the Freddy Krueger mask and reveals the stuff of every horror buff’s dreams. ONE...TWO...FREDDY'S COMING FOR YOU... You've seen him in the A Nightmare on Elm Street series—and in your darkest dreams. The sadistic killer with the flame-charred face. The knife-blade claws. The razor-sharp wit. Freddy...But you've never seen him like this. Unflinching. Uncensored. Unmasked. Meet Robert Englund, the award-winning actor best known for his role as Freddy Krueger—the legendary horror icon featured on the American Film Institute's "100 Greatest Heroes and Villains" roster—a character as unforgettable and enduring as Bela Lugosi's Dracula and Boris Karloff's Frankenstein. Now, for the first time, the man behind the latex mask tells his story in this captivating new memoir, published to celebrate the twenty-fifth anniversary of the first A Nightmare on Elm Street film. You see, Robert Englund is no monster at all, but a deeply funny, charming Hollywood veteran. Packed with Robert's hilarious stories, playful self-deprecation, and a generous helping of never-before-revealed A Nightmare on Elm Street trivia, Hollywood Monster offers an unparalleled look at the beloved film icon. With insider savvy and gallows humor, Robert recounts his audition for Wes Craven, the inspiration for Freddy's character, the grueling makeup sessions, his soon-to-be-famous costars, the often disastrous on-set blunders, and the wave of popularity that propelled this humble California surfer kid all the way to the top. Of course, fame and fortune as Freddy came years after the young actor shared a trailer with screen legend Henry Fonda, was punched in the face by Richard Gere, took down Burt Reynolds, and muscled his way between Arnold Schwarzenegger, Sally Field, and Jeff Bridges. But soon after his high-profile stint in the groundbreaking TV miniseries V, Robert Englund took on the most celebrated role of his career—the macabre and wisecracking killer who quickly became a household name. From the moment Freddy Krueger dragged his claws across a rusty pipe in the opening dream sequence, a legend had been unleashed—and a star was born. This is his story. "Welcome to prime time, bitch." —Frederick Charles Krueger, bastard son of a hundred maniacs

Download or read book Pandas for Everyone written by Daniel Y. Chen and published by Addison-Wesley Professional. This book was released on 2017-12-15 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning

Download or read book Python Data Analytics written by Fabio Nelli and published by Apress. This book was released on 2018-09-27 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll LearnUnderstand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Download or read book Harlequin Kimani Romance December 2018 Box Set written by Brenda Jackson and published by Harlequin. This book was released on 2018-12-01 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harlequin Kimani Romance — December 2018 Looking for entertaining stories of drama, glamour and passion featuring sophisticated and sensual African American and multicultural heroes and heroines? Harlequin Kimani Romance brings you all this and more with these four new full-length books for one great price! BACHELOR UNBOUND Bachelors in Demand Brenda Jackson International jeweler Zion Blackstone felt an instant connection to Celine Michaels. When she shows up at his house in Rome claiming kidnappers are after her, he offers the Hollywood producer’s daughter his protection . . . and passion. But a revelation could upend his chance with Celine . . . A LOS ANGELES RENDEZVOUS Millionaire Moguls Pamela Yaye Jada Allen’s Christmas wishlist is simple: her gorgeous boss. A-list talent agent Max Moore counts on Jada to handle his life. Yet workaholic Max never notices her until a makeover reveals the woman he’s taken for granted. Will one hot night shatter their working relationship or lead to something sweeter? ANOTHER CHANCE WITH YOU The DuGrandpres of Charleston Jacquelin Thomas Retired Secret Service agent Landon Trent stuns Jadin DuGrandpre with the announcement that they’re still married. Winning back Jadin’s trust won’t be easy—especially when a trial pits the two Charleston attorneys on opposite sides. But Landon isn’t giving up. Can they recapture what they once shared? HER MISTLETOE BACHELOR Once Upon a Tiara Carolyn Hector After a public breakup, CFO Donovan Ravens plans to spend the holidays alone in a small-town hotel. But science teacher British Carres has other ideas for the space the sexy bachelor booked. As they give into their chemistry, a threat from the past could keep them from finding true love…

Download or read book Harlequin Heartwarming February 2022 Box Set written by Jacquelin Thomas and published by Harlequin. This book was released on 2022-01-25 with total page 979 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harlequin® Heartwarming celebrates wholesome, heartfelt relationships that focus on home, family, community and love. Experience all that and more with four new novels in one collection! This Harlequin Heartwarming box set includes: HER HOMETOWN HERO Polk Island by Jacquelin Thomas Trey Rothchild returns home to Polk Island a marine veteran and an amputee. He barely recognizes the life he lives now—and he certainly can’t make room in it for old friend Gia Harris, his beautiful physical therapist. THE SHERIFF’S VALENTINE Stop the Wedding! by USA TODAY bestselling author Amy Vastine Nothing can tear Sheriff Ben Harper away from his duties. Except perhaps thrill-seeking Shelby Young, who rolls back into town before his brother’s wedding—bringing all kinds of trouble in her wake! MONTANA REUNION by Jen Gilroy When Beth Flanagan becomes guardian to her late friend’s daughter, she heads back to the Montana camp where she spent her summers. Her teenage crush is now the rancher next door—a complication or a blessing in disguise? HOME FOR THE HOLIDAYS Return to Christmas Island by Amie Denman Camille Peterson can handle running her family’s candy business—she can’t handle running into her ex and his adorable son. Maddox betrayed her years ago…but idyllic Christmas Island might just weave the magic of a second chance. Look for 4 compelling new stories every month from Harlequin® Heartwarming!

Download or read book Five Star Desire written by Jacquelin Thomas and published by Kimani Press. This book was released on 2014-06-17 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: He's the best man for the job--and her heart! Kellen Alexander is all set to take his rightful place in his family's dazzling Beverly Hills hotel empire. But the aspiring architect finds himself up against a major obstacle.... Her name is Addison Evans, and she has the position Kellen wants! Worse, the petite beauty is arousing a scorching passion that could cost him his entire career. On the fast track to success, Addison is determined to prove to the Alexanders she has what it takes. Her attraction to their sexy younger son could derail all her ambitions, especially after one night together leaves them both wanting more. Suddenly, the rules of the game are changing. And when something totally unexpected happens, their power plays could erupt in heartbreak. Unless Addison can convince Kellen that they should be on the same team--forever.