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Pandas Calendar 2022
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Book Synopsis Data Wrangling Using Pandas, SQL, and Java by : Oswald Campesato
Download or read book Data Wrangling Using Pandas, SQL, and Java written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-10-17 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available for downloading from the publisher. Features: Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awk Includes a chapter on RDBMs and SQL Companion files with code
Book Synopsis SMITHSONIAN ENGAGEMENT CALENDAR 2022 by : SMITHSONIAN INSTITIUTE.
Download or read book SMITHSONIAN ENGAGEMENT CALENDAR 2022 written by SMITHSONIAN INSTITIUTE. and published by Smithsonian Institution. This book was released on 2021 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 2019 Weekly Planner Panda by : Popo Planner
Download or read book 2019 Weekly Planner Panda written by Popo Planner and published by Independently Published. This book was released on 2018-12-07 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This beautiful 2019 planner is perfect for anyone who wants a more productive year: 2019 Calendar on the first page 107 total pages with 53 weekly pages with inspirational and motivational quotes Weekly pages are dated with all dates for 2019 and days of the week Alternate pages contain Todo list with checkboxes and notes Get this for yourself or your favorite person
Book Synopsis Goldy Luck and the Three Pandas by : Natasha Yim
Download or read book Goldy Luck and the Three Pandas written by Natasha Yim and published by Triangle Interactive, Inc. . This book was released on 2018-03-29 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Read Along or Enhanced eBook: In this Chinese American retelling of "Goldilocks and the Three Bears," a careless Goldy Luck wreaks havoc on the home of a family of panda bears. She eats up the littlest panda’s rice porridge, breaks his rocking chair, and rumples all the blankets on his futon. When Goldy takes responsibility for her actions, she makes a new friend (and a whole plate of turnip cakes!) just in time for Chinese New Year.
Book Synopsis Python for Data Analysis by : Wes McKinney
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 582 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
Book Synopsis Calendrical Calculations Millennium Edition by : Edward M. Reingold
Download or read book Calendrical Calculations Millennium Edition written by Edward M. Reingold and published by Cambridge University Press. This book was released on 2001-08-06 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book makes accurate calendrical algorithms readily available for computer use.
Book Synopsis The Year of the Panda by : Miriam Schlein
Download or read book The Year of the Panda written by Miriam Schlein and published by Harper Collins. This book was released on 1992-10-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Daxiong mao is rare and mysterious, like a god, living in the midst of the mountains. Strange things are happening on Lu Yi's farm. First, some men from the Chinese government ask Lu Yi's father to sell the property that has belonged to the family for generations. Then a giant panda appears in a neighbor's field, A rare occurrence, given the farm's distance from the high-mountain bamboo forests that pandas inhabit.Lu Yi has a feeling that the two mysteries are somehow connected. And before long, an orphaned baby panda he finds in the' woods provides an answer. As the boy nurses the helpless animal back to health, he begins an adventure that may, well change his entire future.
Book Synopsis From Social Science to Data Science by : Bernie Hogan
Download or read book From Social Science to Data Science written by Bernie Hogan and published by SAGE. This book was released on 2022-11-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python. From beginning to end, this book will enable you to understand merging, accessing, cleaning and interpreting data whilst gaining a deeper understanding of computational techniques and seeing the bigger picture. With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis of key data collection and skills in Python.
Book Synopsis Queer and Bookish by : Jason Edwards
Download or read book Queer and Bookish written by Jason Edwards and published by punctum books. This book was released on 2022-02-28 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Queer and Bookish: Eve Kosofksy Sedgwick as Book Artist represents the first book-length study to explore the intersections of Sedgwick's critical writing, poetry, and, most importantly, book art, making the case that her art criticism, especially her meditations on domestic and nineteenth-century photography, and "artist's book" projects are as formally complex and brilliant, conceptually significant and life-changing, as her literary criticism and theory. In addition, the book represents a significant intervention into recent debates about reparative reading, surface reading, and the descriptive turn across the humanities, because of its sustained, positive accounts on Sedgwick's books as visual, textural, and material objects. The book ranges across Sedgwick's published output, from The Coherence of Gothic Conventions (1980) to the posthumously published The Weather in Proust (2011), and features her meditations on a wide variety of art-historical topoi, including Judith Scott's queer/crip fiber art; the anality of Polykleitos's Doryphorus; queer Modernist typography; Piranesi's punitive space; Duncan Grant and Vanessa Bell's queer holy family; Manet's frontality and thalassic aesthetics; fat and thin aesthetics of various stripes; and the queer photography of Anna Atkins, Clementina Hawarden, and Julia Margaret Cameron; Baron De Mayer, Eugene Atget, and P.H. Emerson; as well as David Hockney, Ken Brown, and her own father, a NASA lunar photographer. The book climaxes with two chapter-length explorations of Sedgwick's own late-life book-art practice: her panda Valentine alphabet cards (c. 1996) and her Last Days of Pompeii/Cavafy unique artist's book (c. 2007). Jason Edwards is a Professor of Art History at the University of York, where he works at the intersections of queer and vegan theory, and on British art history in its global contexts in the period from c.1760-1940. He is the author of the Routledge Critical Thinkers volume on Eve Kosofsky Sedgwick (Routledge, 2009) as well as the editor of Bathroom Songs: Eve Kosofsky Sedgwick As a Poet (punctum books, 2017), which includes Sedgwick's uncollected poems. In addition, Jason is also the author of Alfred Gilbert's Aestheticism (Ashgate 2006), and the co-editor of special issues of journals and edited collections on Grinling Gibbons, Joseph Cornell, the British School of Sculpture c.1760-1832, Victorian sculpture in its global contexts, the Arts and Crafts and Aesthetic interiors, and homoeroticism, art and aestheticism in Victorian Britain. Jason has also co-curated exhibitions on Turner's whaling imagery, Alfred Gilbert, and Victorian sculpture more broadly, at Tate Britain, the Yale Center for British Art, Hull Maritime Museum, Lotherton Hall, and the Henry Moore Institute for the Study of Sculpture, in Leeds. Jason's forthcoming book Queer Craft deals with Sedgwick's work as a fiber artist.
Download or read book Thoughts of Dog written by Matt Nelson and published by Andrews McMeel Publishing. This book was released on 2020-10-27 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the beloved Twitter sensation, Thoughts of Dog contains never-before-seen, sweet and funny reflections on life from the pup-spective of a gooooob dog, who, above all else, loves their human. Join a dog and their stuffed “fren” sebastian as they navigate life’s adventures through the most wholesome lens imaginable. The mastermind behind WeRateDogs, Matt Nelson, expands the Thoughts of Dog universe born on social media with his new book for anyone looking for a smile.
Book Synopsis Python Data Science Handbook by : Jake VanderPlas
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 609 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 Pandas Basics written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-12-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher. FEATURES: Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualization Includes an introductory chapter on Python Companion files with code
Download or read book Endangered written by Lamar Giles and published by Harper Collins. This book was released on 2015-04-21 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edgar Award nominee for Best Juvenile Mystery Endangered is a thrilling page-turner perfect for fans of Barry Lyga’s I Hunt Killers, from acclaimed author Lamar Giles, author of the Edgar Award–nominated Fake ID. The one secret she cares about keeping—her identity—is about to be exposed. That is, unless Lauren “Panda” Daniels—an anonymous photo blogger who specializes in busting classmates and teachers in compromising positions—plays along with her blackmailer’s little game of Dare or . . . Dare. But when the game turns deadly, Panda doesn’t know what to do. And she may need to step out of the shadows to save herself . . . and everyone else on the Admirer’s hit list.
Download or read book Chased by Pandas written by Dan Martin and published by Quercus. This book was released on 2022-10-13 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'This is Dan Martin's long-awaited autobiography, full of 'the warmth, sharp insights and vivid colour of his 14-year career' Guardian Known, thanks to his racing style and attitude, for being one of road cycling's last romantics, Dan has always shied away from revealing too much about himself and his story. Now, having retired at the end of the 2021 season aged 35 and no longer bound by the constraints of the racing circuit, Dan feels the time is right to tell his story in the same forthright and honest manner that he rode his bike. This book reflects Dan's generous and outspoken spirit, his resilience to pain, crashes, bad luck and, finally, his acceptance of destiny. Each chapter's title has a sub-title based on a typical cyclist's fear: the fear of losing a race, the fear of retiring from the sport, the fear of mountains or downhills, the fear of doping and, ultimately, the fear of death. Dan also discusses every aspect of the professional cyclist's life - food, discipline, money, dreams, friendship and betrayal. Dan is unashamed when it comes to exposing these dark feelings, his weaknesses and how he tried to deal with them, his attitude exemplifying Mark Twain's quote: 'Courage is resistance to fear, mastery of fear, not absence of fear'. Written with his long-time friend and best-selling author Pierre Carrey, this is the story of a rider who never sought to conform to modern cycling's norms and someone who, in many ways, embodies an age in cycling which has long since disappeared. This is the celebration of a true cyclist's career, which will appeal to anyone who's embraced the weekend ride whilst dreaming of the mountains. '[Chased by Pandas] is not a conventional study of wins, losses and conquering mountains but overcoming the mental challenges of a sport into which he was seemingly born' The Times 'Records the brave and tough journey of 'one of road cycling's last romantics' Irish Independent 'Chronicles the former Irish road champion's journey through the ranks of professional cycling' Cycling Weekly
Book Synopsis Pandas for Everyone by : Daniel Y. Chen
Download or read book Pandas for Everyone written by Daniel Y. Chen and published by Addison-Wesley Professional. This book was released on 2022-11-24 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manage and Automate Data Analysis with Pandas 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 data sets. Pandas for Everyone, 2nd Edition, 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 data science problems such as using regularization to prevent data overfitting, or when to use unsupervised machine learning methods to find the underlying structure in a data set. New features to the second edition include: Extended coverage of plotting and the seaborn data visualization library Expanded examples and resources Updated Python 3.9 code and packages coverage, including statsmodels and scikit-learn libraries Online bonus material on geopandas, Dask, and creating interactive graphics with Altair Chen gives you a jumpstart on using Pandas with a realistic data set and covers combining data sets, handling missing data, and structuring data sets 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 data sets and handle missing data Reshape, tidy, and clean data sets 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 data sets 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” one Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning
Book Synopsis The Pandas Workshop by : Blaine Bateman
Download or read book The Pandas Workshop written by Blaine Bateman and published by Packt Publishing Ltd. This book was released on 2022-06-17 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandas Key Features • Learn how to apply data retrieval, transformation, visualization, and modeling techniques using pandas • Become highly efficient in unlocking deeper insights from your data, including databases, web data, and more • Build your experience and confidence with hands-on exercises and activities Book Description The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects. You'll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you'll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services. By the end of this data analytics book, you'll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas. What you will learn • Access and load data from different sources using pandas • Work with a range of data types and structures to understand your data • Perform data transformation to prepare it for analysis • Use Matplotlib for data visualization to create a variety of plots • Create data models to find relationships and test hypotheses • Manipulate time-series data to perform date-time calculations • Optimize your code to ensure more efficient business data analysis Who this book is for This data analysis book is for anyone with prior experience working with the Python programming language who wants to learn the fundamentals of data analysis with pandas. Previous knowledge of pandas is not necessary.
Book Synopsis Python for Data Analysis by : Wes McKinney
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
