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Hands-On Data Analysis with NumPy and Pandas

You're reading from Hands-On Data Analysis with NumPy and Pandas

Product type Book

Published in Jun 2018

Publisher Packt

ISBN-13 9781789530797

Pages 168 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Curtis Miller

Table of Contents (12) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Setting Up a Python Data Analysis Environment

2. Diving into NumPY

3. Operations on NumPy Arrays

4. pandas are Fun! What is pandas?

5. Arithmetic, Function Application, and Mapping with pandas

6. Managing, Indexing, and Plotting

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Pandas Cookbook Theodore Petrou

ISBN: 978-1-78439-387-8

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

Hands-On Data Science with Anaconda Dr. Yuxing Yan, James Yan

ISBN: 978-1-78883-119-2

Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda
Use the package manager conda and discover, install, and use functionally efficient and scalable packages
Get comfortable with heterogeneous data exploration using multiple languages within a project
Perform distributed computing and use Anaconda Accelerate to optimize computational powers
Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud
Tackle advanced data prediction problems

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Authors (1)

Curtis Miller

Curtis Miller is a doctoral candidate at the University of Utah studying mathematical statistics. He writes software for both research and personal interest, including the R package (CPAT) available on the Comprehensive R Archive Network (CRAN). Among Curtis Miller's publications are academic papers along with books and video courses all published by Packt Publishing. Curtis Miller's video courses include Unpacking NumPy and Pandas, Data Acquisition and Manipulation with Python, Training Your Systems with Python Statistical Modelling, and Applications of Statistical Learning with Python. His books include Hands-On Data Analysis with NumPy and Pandas.

See other products by Curtis Miller

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