Pandas

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Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 676 pages
Book Rating : 4.4/5 (919 download)

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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 676 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

Pandas in Action

Author : Boris Paskhaver
Publisher : Simon and Schuster
ISBN 13 : 163835104X
Total Pages : 438 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Pandas in Action by : Boris Paskhaver

Download or read book Pandas in Action written by Boris Paskhaver and published by Simon and Schuster. This book was released on 2021-10-12 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. In Pandas in Action you will learn how to: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Data analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game. About the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world. What's inside Organize, group, merge, split, and join datasets Find trends in text-based and time-based data Sort, filter, pivot, optimize, and draw conclusions Apply aggregate operations About the reader For readers experienced with spreadsheets and basic Python programming. About the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. Table of Contents PART 1 CORE PANDAS 1 Introducing pandas 2 The Series object 3 Series methods 4 The DataFrame object 5 Filtering a DataFrame PART 2 APPLIED PANDAS 6 Working with text data 7 MultiIndex DataFrames 8 Reshaping and pivoting 9 The GroupBy object 10 Merging, joining, and concatenating 11 Working with dates and times 12 Imports and exports 13 Configuring pandas 14 Visualization

10 Little Pandas

Author : Kate Paris
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.6/5 (698 download)

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Book Synopsis 10 Little Pandas by : Kate Paris

Download or read book 10 Little Pandas written by Kate Paris and published by . This book was released on 2020-07-27 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: 10 little pandas go out to play, but they each roll away, one by one until there's no pandas left! Where did they all go?

Thinking in Pandas

Author : Hannah Stepanek
Publisher : Apress
ISBN 13 : 1484258398
Total Pages : 190 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Thinking in Pandas by : Hannah Stepanek

Download or read book Thinking in Pandas written by Hannah Stepanek and published by Apress. This book was released on 2020-06-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered. By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas—the right way. What You Will Learn Understand the underlying data structure of pandas and why it performs the way it does under certain circumstancesDiscover how to use pandas to extract, transform, and load data correctly with an emphasis on performanceChoose the right DataFrame so that the data analysis is simple and efficient.Improve performance of pandas operations with other Python libraries Who This Book Is ForSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.

Pandas for Everyone

Author : Daniel Y. Chen
Publisher : Addison-Wesley Professional
ISBN 13 : 0134547055
Total Pages : 1093 pages
Book Rating : 4.1/5 (345 download)

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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 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

Giant Pandas

Author : John Seidensticker
Publisher : Harper Collins
ISBN 13 : 0061205788
Total Pages : 194 pages
Book Rating : 4.0/5 (612 download)

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Book Synopsis Giant Pandas by : John Seidensticker

Download or read book Giant Pandas written by John Seidensticker and published by Harper Collins. This book was released on 2007-04-10 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instantly recognizable to people everywhere, giant pandas are arguably the best known of all wild animals, yet also the least understood. With stunning full–color images and cutting–edge research, GIANT PANDAS covers all aspects of the biology, behavior, history, and conservation needs of these enigmatic bears. This beautiful book will inform and inspire countless people the world over who love giant pandas and want to learn everything about them.

Hands-On Data Analysis with Pandas

Author : Stefanie Molin
Publisher : Packt Publishing Ltd
ISBN 13 : 1800565917
Total Pages : 788 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Hands-On Data Analysis with Pandas by : Stefanie Molin

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.

Pandas Cookbook

Author : Theodore Petrou
Publisher : Packt Publishing Ltd
ISBN 13 : 1784393347
Total Pages : 534 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Pandas Cookbook by : Theodore Petrou

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.

In A Pickle Over PANDAS

Author : Melanie S. Weiss, RN
Publisher : First Edition Design Pub.
ISBN 13 : 1622879244
Total Pages : 42 pages
Book Rating : 4.6/5 (228 download)

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Book Synopsis In A Pickle Over PANDAS by : Melanie S. Weiss, RN

Download or read book In A Pickle Over PANDAS written by Melanie S. Weiss, RN and published by First Edition Design Pub.. This book was released on 2015-06-03 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about a young boy’s journey with a harrowing illness called PANDAS, an acronym for Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcus. He wakes up one morning, and overnight, is stricken with unusual and frightening symptoms that turn his world upside down. Some of the symptoms he experiences are anxiety & OCD. This happened all because an autoimmune response caused dysfunctional antibodies to invade the basal ganglia of the brain instead of fighting off the streptococcus bacteria. The boy has never even heard of PANDAS. After a long road, filled with doctor visits, blood draws, procedures & surgery, he is finally on the road to recovery. In time, he is able to forget about this harrowing illness. Then, the only PANDAS he knows of are the black and white bears at the zoo. www.PANDAS-DISORDER.com Keywords - PANDAS, PANS, Pediatric, Autoimmune, Neurological, Disorder, Streptococcus, Anxiety, OCD, Antibiotic.

National Geographic Readers: Pandas

Author : Anne Schreiber
Publisher : National Geographic Society
ISBN 13 : 1426309937
Total Pages : 36 pages
Book Rating : 4.4/5 (263 download)

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Book Synopsis National Geographic Readers: Pandas by : Anne Schreiber

Download or read book National Geographic Readers: Pandas written by Anne Schreiber and published by National Geographic Society. This book was released on 2011-07-12 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: The whole world loves panda bears. Everyone loves to watch them play, climb, cuddle, and chew. But careful, they can scratch too—just look at that tree! Pandas live in wild places very far away, and they are the STAR ATTRACTIONS of every zoo that keeps them safe and well, all over the world. National Geographic supports K-12 educators with ELA Common Core Resources. Visit www.natgeoed.org/commoncore for more information.

Smithsonian Book of Giant Pandas

Author : Susan Lumpkin
Publisher : Smithsonian Books (DC)
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Smithsonian Book of Giant Pandas by : Susan Lumpkin

Download or read book Smithsonian Book of Giant Pandas written by Susan Lumpkin and published by Smithsonian Books (DC). This book was released on 2002 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Panda is Still Fat

Author : Nolen Lee
Publisher :
ISBN 13 : 9780578530383
Total Pages : 92 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Panda is Still Fat by : Nolen Lee

Download or read book Panda is Still Fat written by Nolen Lee and published by . This book was released on 2019-07-13 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Panda is Still Fat" is the super sequel to Panda's first haiku book, "The Panda is Fat." With over 40 new illustrated haikus and eight new characters, Pak Panda aims to provide an insightful, engaging, and totally unnecessary commentary on the things in life that make us human... .or panda.

Five Hungry Pandas!

Author : Alexis Barad-Cutler
Publisher : Cartwheel Books
ISBN 13 : 9780545531832
Total Pages : 0 pages
Book Rating : 4.5/5 (318 download)

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Book Synopsis Five Hungry Pandas! by : Alexis Barad-Cutler

Download or read book Five Hungry Pandas! written by Alexis Barad-Cutler and published by Cartwheel Books. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Read, count, and munch with this hungry panda bunch!"--Page [4] cover.

The Pandas Take a Vacation

Author : Betsy Maestro
Publisher : Golden Books
ISBN 13 : 9780307102584
Total Pages : 28 pages
Book Rating : 4.1/5 (25 download)

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Book Synopsis The Pandas Take a Vacation by : Betsy Maestro

Download or read book The Pandas Take a Vacation written by Betsy Maestro and published by Golden Books. This book was released on 1986 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unable to agree on where to go for their vacation, the Panda family sign up with Whirlwind Tours which takes them to Paradise Park.

Giant Pandas

Author : Donald Lindburg
Publisher : Univ of California Press
ISBN 13 : 0520238672
Total Pages : 328 pages
Book Rating : 4.5/5 (22 download)

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Book Synopsis Giant Pandas by : Donald Lindburg

Download or read book Giant Pandas written by Donald Lindburg and published by Univ of California Press. This book was released on 2004-08-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the latest findings from the field and the laboratory with panel and workshop summaries from a recent international conference.

Learning the Pandas Library

Author : Matt Harrison
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781533598240
Total Pages : 0 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Learning the Pandas Library by : Matt Harrison

Download or read book Learning the Pandas Library written by Matt Harrison and published by Createspace Independent Publishing Platform. This book was released on 2016-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy! Learning the Pandas Library is designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples. The Content Covers: Installation Data Structures Series CRUD Series Indexing Series Methods Series Plotting Series Examples DataFrame Methods DataFrame Statistics Grouping, Pivoting, and Reshaping Dealing with Missing Data Joining DataFrames DataFrame Examples Preliminary Reviews This is an excellent introduction benefitting from clear writing and simple examples. The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion. Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me. -Garry C. I have finished reading Learning the Pandas Library and I liked it... very useful and helpful tips even for people who use pandas regularly. -Tom Z.

Pandas and People

Author : Jianguo Liu
Publisher : Oxford University Press
ISBN 13 : 0198703546
Total Pages : 299 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Pandas and People by : Jianguo Liu

Download or read book Pandas and People written by Jianguo Liu and published by Oxford University Press. This book was released on 2016 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part I. Empirical and theoretical foundations -- Part II. Model coupled human and natural system -- Part III. Across local to global coupled human and natural systems -- Part IV. Perspectives