Pandas meistern: Eine vollständige Anleitung für Pandas, von der Installation bis zu erweiterten Daten

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Book Title
Mastering pandas: A complete guide to pandas, from installation t
Publication Date
2019-10-25
Edition Number
2
ISBN
9781789343236
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1789343232
ISBN-13
9781789343236
eBay Product ID (ePID)
8038767439

Product Key Features

Number of Pages
674 Pages
Language
English
Publication Name
Mastering Pandas : A Complete Guide to Pandas, from Installation to Advanced Data Analysis Techniques, 2nd Edition
Subject
Data Modeling & Design, Data Visualization, Data Processing, Databases / Data Mining
Publication Year
2019
Type
Textbook
Author
Ashish Kumar
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Length
3.6 in
Item Width
3 in

Additional Product Features

Edition Number
2
Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
006.312
Table Of Content
Table of Contents Introduction to pandas and Data Analysis Installation of pandas and Supporting Software Using NumPy and Data Structures with pandas I/Os of Different Data Formats with pandas Indexing and Selecting in pandas Grouping, Merging, and Reshaping Data in pandas Special Data Operations in pandas Time Series and Plotting Using Matplotlib Making Powerful Reports In Jupyter Using pandas A Tour of Statistics with pandas and NumPy A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates Data Case Studies Using pandas The pandas Library Architecture pandas Compared with Other Tools A Brief Tour of Machine Learning
Synopsis
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., pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.
LC Classification Number
QA76.9.D343

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