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Disclaimer Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of O'Reilly are Printed in Grayscale. 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 Review: Satisfied with quality - Book was delivered on time. The paper quality is also fine, and the content of books is obviously excellent for new learners. Review: Excellent quality - Good print and page quality. It's all about the python you need to know for manipulating and analysing data.
| Best Sellers Rank | #12,782 in Books ( See Top 100 in Books ) #7 in Databases & Big Data #672 in Reference (Books) |
| Customer Reviews | 4.6 out of 5 stars 627 Reviews |
S**A
Satisfied with quality
Book was delivered on time. The paper quality is also fine, and the content of books is obviously excellent for new learners.
L**.
Excellent quality
Good print and page quality. It's all about the python you need to know for manipulating and analysing data.
M**E
Good for Data Science.
Covers all necessary topics for data analyst and data science.
M**R
Python for everyone
When you data analysis or you want to increase your work productivity so this book is for you.this book is under more information.
R**R
Recommended for data analysis !
Good book . Very detail explanation
V**A
Great help for python learning
It is very useful.
D**P
Great read for starting with data analysis!
Author builds data analysis knowledge from basics to pro! I loved this book, if you are starting with data analysis or good at it, this book is worth buying!
T**R
Bad paper quality
Paper quality is bad and I was expecting colour graph and chart.
R**K
Pristine condition, fast shipping
Great book.
F**R
A review on Python for Data analysis text.
This book is awesome. I will recommend it to anyone seeking to expand their understanding about data wrangling. The author did a good job.
M**Y
Good book but poor book binding quality
I was disappointed with the physical quality of the book. The table of contents is misaligned, which makes it difficult to navigate, and the print throughout is poorly aligned, affecting readability. The content might be valuable, but the printing issues really detract from the overall experience.
M**O
Muy bueno
Muy bueno
Q**T
日本の書籍では見られない内容の充実さ、キンドルでも読みやすい
レビュータイトル通りで最高の良書
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