Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition

Description

Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book Description 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 as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides 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. Many advanced recipes combine several different features across the pandas library to generate results. What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Similar books

• 

  Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

  By Theodore Petrou

  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 ...

• 

  Pandas Cookbook

  By Theodore Petrou

  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 0.20 library to ...

• 

  Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visual

  By Matt Harrison

  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 ...

• 

  Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

  By Chris Albon

  This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.

• 

  Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python

  By Stefanie Molin

  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.

• 

  Learning pandas

  By Michael Heydt

  Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book Get comfortable using pandas and Python as an effective data exploration and analysis tool Explore ...

• 

  Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

  By Michael Walker

  The book shows you how to view data from multiple perspectives, including data frame and column attributes.

• 

  Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization

  By Stefanie Molin

  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.

• 

  Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

  By Wes McKinney

  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.

• 

  Python Cookbook: Recipes for Mastering Python 3

  By Brian K. Jones, David Beazley

  If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket.