Pandas In Action

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Pandas In Action

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Author : Boris Paskhaver
language : en
Publisher: Simon and Schuster
Release Date : 2021-10-05

Pandas In Action written by Boris Paskhaver and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-05 with Computers categories.

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

Python Data Science Handbook

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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21

Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.

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

Playful Pandas

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Author : David A. Carter
language : en
Publisher: National Geographic Soc Childrens books
Release Date : 1991-01-01

Playful Pandas written by David A. Carter and has been published by National Geographic Soc Childrens books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-01-01 with Giant panda categories.

Movable features depict the life cycle, physical characteristics, and behavior of pandas in the wild.

Pandas Workout

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Author : Reuven Lerner
language : en
Publisher: Simon and Schuster
Release Date : 2024-05-28

Pandas Workout written by Reuven Lerner and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-28 with Computers categories.

DESCRIPTION Practice makes perfect pandas. Work out your pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential pandas tasks. In Pandas Workout, discover 50 exercises that will strengthen your pandas skills to a level of automatic fluency. You'll test yourself against common pandas challenges such as data cleaning, and explore real-world datasets such as New York Taxis, Kickstarter projects, and global tourist spending. Detailed explanations help guide your success and make your new skills stick. You'll even get a big boost to productivity, with tasks that used to mean a trip to StackOverflow now a natural part of your skillset.

Pandas For Everyone

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Author : Daniel Y. Chen
language : en
Publisher: Addison-Wesley Professional
Release Date : 2018

Pandas For Everyone written by Daniel Y. Chen and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.

Pandas dataframe basics -- Pandas data structures -- Introduction to plotting -- Data assembly -- Missing data -- Tidy data -- Data types -- Strings and text data -- Apply -- Groupby operations : split-apply-combine -- The datetime data type -- Linear models -- Generalized linear models -- Model diagnostics -- Regularization -- Clustering -- Life outside of pandas -- Toward a self-directed learner.

Python For Data Analysis

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Author : Wes McKinney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-09-25

Python For Data Analysis written by Wes McKinney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Computers categories.

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 On The Eastside

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Author : Gabrielle Prendergast
language : en
Publisher: Orca Book Publishers
Release Date : 2016-10-04

Pandas On The Eastside written by Gabrielle Prendergast and has been published by Orca Book Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-04 with Juvenile Fiction categories.

In this middle-grade novel set in 1973, ten-year-old Journey rallies her friends and neighbors to come to the aid of two stranded pandas.

Bad Panda

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Author : Swapna Haddow
language : en
Publisher: Faber & Faber
Release Date : 2021-06-29

Bad Panda written by Swapna Haddow and has been published by Faber & Faber this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Juvenile Fiction categories.

Are you sick of being utterly adorable? Tired of being cuddled and hugged? Fed up of having your head confused for your bottom because you just so happen to be SOOOOPER-DOOOOOPER fluffy? Lin: If you answered yes to any of those questions, then you're in the right book. Everyone thinks that Lin is the cutest panda in the world. So much so that they ship her off to the local zoo, away from her beloved brother, to be ogled at by the masses. But Lin HATES being cute, and now she will do everything in her power to prove that she's the baddest, meanest, most un-cute animal in the zoo. Laugh-yourself-out-of-bed hilarious, the first in a new series from the creators of DAVE PIGEON.

Hands On Data Analysis With Pandas

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Author : Stefanie Molin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-07-26

Hands On Data Analysis With Pandas written by Stefanie Molin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with Computers categories.

Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with 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 powerful 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. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling in PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning (ML) algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsUse pandas to solve common data representation and analysis problemsBuild Python scripts, modules, and packages for reusable analysis codeWho this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.

Pandas And People

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Author : Jianguo Liu
language : en
Publisher: Oxford University Press
Release Date : 2016

Pandas And People written by Jianguo Liu and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Nature categories.

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