你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter
Type
Physical Book
Author
Publisher
Year
2022
Language
English
Pages
579
Format
Paperback
Dimensions
23.1x17.5x3 cm
Weight
0.94 kg.
ISBN13
9781098104030
Edition No.
0003
Categories

Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter

Wes McKinney (Author) · O'Reilly Media · Paperback

Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter - McKinney, Wes

5 estrellas - de un total de 5 estrellas 1 review
Cheaper New Book Imported to Taiwan
Delivery: 02 Nov - 13 Nov Shipping: 17 to 21 business days.
NT$ 2,038
Faster New Book Imported to Taiwan
Delivery: 12 Oct - 20 Oct Shipping: 2 to 3 business days.
NT$ 2,315
NT$ 2,038

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter "

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, 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. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Customers reviews

Sebastián Espinosa Wednesday, November 02, 2022
Verified Purchase

The book is amazing. I would recommend to the reader first learn some basics from python before jumping right into the reading of the book, otherwise the reading could be really tough

00
More customer reviews
  • 100% (1)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews