Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Arrow left icon
Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
Arrow right icon
View More author details
Toc

Other Books You May Enjoy

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

Hands-On Data Analysis with NumPy and Pandas
Curtis Miller

ISBN: 978-1-78953-079-7

  • Understand how to install and manage Anaconda
  • Read, sort, and map data using NumPy and pandas
  • Find out how to create and slice data arrays using NumPy
  • Discover how to subset your DataFrames using pandas
  • Handle missing data in a pandas DataFrame
  • Explore hierarchical indexing and plotting with pandas

Beginning Data Science with Python and Jupyter
Alex Galea

ISBN: 978-1-78953-202-9

  • Identify potential areas of investigation and perform exploratory data analysis
  • Plan a machine learning classification strategy and train classification models
  • Use validation curves and dimensionality reduction to tune and enhance your models
  • Scrape tabular data from web pages and transform it into Pandas DataFrames...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime