Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Original price was: ₹3,937.50.₹1,849.00Current price is: ₹1,849.00.
Price: ₹3,937.50 - ₹1,849.00
(as of Nov 29, 2025 08:56:41 UTC – Details)
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 computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
ASIN : B0B9HY3WX7
Publisher : O’Reilly Media; 3rd edition (12 August 2022)
Language : English
File size : 21.9 MB
Simultaneous device usage : Unlimited
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 989 pages
Best Sellers Rank: #47,374 in Kindle Store (See Top 100 in Kindle Store) #29 in Programming Languages eTextbooks #122 in Python Programming #1,193 in Computers & Technology eBooks
Customer Reviews: 4.6 4.6 out of 5 stars 562 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
Lila S. –
Excellent quality
Good print and page quality. It’s all about the python you need to know for manipulating and analysing data.
Muzain gire –
Good for Data Science.
Covers all necessary topics for data analyst and data science.
Mr.Aakash kumar –
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.
Theodore Kar –
Bad paper quality
Paper quality is bad and I was expecting colour graph and chart.
Reader –
Recommended for data analysis !
Good book . Very detail explanation
Vasudha –
Great help for python learning
It is very useful.
Deep –
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!
Animesh Sharma –
Awesome purchase
Best book👌🏻for python
Ritesh Bharadwaj –
I bought it 2nd time so I knew the content.
Festus Azibator –
This book is awesome. I will recommend it to anyone seeking to expand their understanding about data wrangling. The author did a good job.
Korodele Abraham –
Whao!!! I love this textbook as it helped me to love coding with great interest. I worked on it weekly in order to improve my skills on Python coding for data analysis. I will recommend this book for anyone interested in data cleaning, cleansing, data wrangling, and visualisation. It contains a lot of hands-on examples for anyone that is a beginner in data analysis and to those who are professionals. It is highly recommended.
Must buy! Super soft and worth the money –
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.
Muy bueno –
Muy bueno