PDF Download: learning pandas eBook

Learning Pandas

Learning Pandas PDF
Author: Michael Heydt
Publisher:
Release: 2015-03-31
Size: 19.37 MB
Format: PDF
Category : Computers
Languages : en
Pages : 504
View: 6909

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Learning Pandas Second Edition

Learning Pandas   Second Edition PDF
Author: Michael Heydt
Publisher:
Release: 2017-06-30
Size: 68.25 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 446
View: 7626

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Get to grips with pandas--a versatile and high-performance Python library for data manipulation, analysis, and discoveryAbout This Book* Get comfortable using pandas and Python as an effective data exploration and analysis tool* Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process* A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandasWho This Book Is ForThis book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.What You Will Learn* Understand how data analysts and scientists think about of the processes of gathering and understanding data* Learn how pandas can be used to support the end-to-end process of data analysis* Use pandas Series and DataFrame objects to represent single and multivariate data* Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources* How to access data from external sources such as files, databases, and web services* Represent and manipulate time-series data and the many of the intricacies involved with this type of data* How to visualize statistical information* How to use pandas to solve several common data representation and analysis problems within financeIn DetailYou will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.Style and approach* Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis* Practical demonstration of using Python and pandas using interactive and incremental examples

Learning Pandas

Learning Pandas PDF
Author: Harish Garg
Publisher:
Release: 2017
Size: 54.79 MB
Format: PDF, Mobi
Category :
Languages : en
Pages :
View: 1845

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"Pandas is a popular Open Source Python package that provides fast, high performance data structures for performing efficient data manipulation and analysis. It has quickly emerged as a popular choice of tool for analysts to solve real-world analytical problems. This video will show you how you can get the most out of pandas for data analysis.The course starts with teaching you the absolute basics such as installing and setting up of the pandas library. Then, you will be introduced to fundamental data structures in pandas and the different data types, indexing, and more. You will then implement the basic functionalities of the pandas library such as working with different kinds of data, indexing, and handling missing data. The course will also teach you how to analyze and model your data, and organize the results of your analysis in the form of plots or other visualization means. Throughout the course, you will implement simple yet highly effective examples and use-cases which are relevant in the real-world scenario, as you build on your understanding of pandas.By the end of this course, you will have a firm understanding of the basics of pandas. You will be ready to start using pandas for different data science tasks with confidence."--Resource description page.

Deep Learning With Structured Data

Deep Learning with Structured Data PDF
Author: Mark Ryan
Publisher: Manning Publications
Release: 2020-12-29
Size: 19.49 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 273
View: 7352

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Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Learning The Pandas Library

Learning the Pandas Library PDF
Author: Matt Harrison
Publisher: Createspace Independent Publishing Platform
Release: 2016-06
Size: 79.17 MB
Format: PDF, ePub, Docs
Category : Data mining
Languages : en
Pages : 212
View: 3012

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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.

Mastering Pandas

Mastering pandas PDF
Author: Ashish Kumar
Publisher: Packt Publishing Ltd
Release: 2019-10-25
Size: 58.83 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 674
View: 2492

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Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key Features Manipulate and analyze your data expertly using the power of pandas Work with missing data and time series data and become a true pandas expert Includes expert tips and techniques on making your data analysis tasks easier Book Description pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learn Speed up your data analysis by importing data into pandas Keep relevant data points by selecting subsets of your data Create a high-quality dataset by cleaning data and fixing missing values Compute actionable analytics with grouping and aggregation in pandas Master time series data analysis in pandas Make powerful reports in pandas using Jupyter notebooks Who this book is for This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.

Machine Learning For Time Series Forecasting With Python

Machine Learning for Time Series Forecasting with Python PDF
Author: Francesca Lazzeri
Publisher: John Wiley & Sons
Release: 2020-12-01
Size: 69.12 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 224
View: 829

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Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models’ performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.

Panda Math

Panda Math PDF
Author: Ann Whitehead Nagda
Publisher: Henry Holt and Company (BYR)
Release: 2014-04-01
Size: 20.57 MB
Format: PDF, Kindle
Category : Juvenile Nonfiction
Languages : en
Pages : 32
View: 4456

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Learn about subtraction with the San Diego Zoo's famous baby pandas in Panda Math Hua Mei was the first giant panda cub born in the United States that survived more than a few days. She was born at the San Diego Zoo, and four years later her mother had another baby, Mei Sheng. Hua Mei and her brother, Mei Sheng, spend their days climbing on logs, lounging in trees, and eating bamboo. A lot of things the pandas do can be thought of in terms of subtraction. Young readers follow the famous cubs as they grow from tiny infants to big, bouncing pandas and learn about subtraction along the way.

Project Panda Watch

Project Panda Watch PDF
Author: Miriam Schlein
Publisher: Atheneum Books for Young Readers
Release: 1984
Size: 22.39 MB
Format: PDF, ePub
Category : Giant panda
Languages : en
Pages : 87
View: 796

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Discusses a project which attempts to provide food for giant pandas during critical bamboo emergencies, periods when their only natural food dies off during one phase of its growth cycle.