---
product_id: 37268549
title: "Python Data Science Handbook: Essential Tools for Working with Data"
price: "¥22471"
currency: JPY
in_stock: true
reviews_count: 13
url: https://www.desertcart.jp/products/37268549-python-data-science-handbook-essential-tools-for-working-with-data
store_origin: JP
region: Japan
---

# Python Data Science Handbook: Essential Tools for Working with Data

**Price:** ¥22471
**Availability:** ✅ In Stock

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- **What is this?** Python Data Science Handbook: Essential Tools for Working with Data
- **How much does it cost?** ¥22471 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.jp](https://www.desertcart.jp/products/37268549-python-data-science-handbook-essential-tools-for-working-with-data)

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## Description

Python Data Science Handbook: Essential Tools for Working with Data: 9781491912058: Computer Science Books @ desertcart.com

Review: Excllent Introduction to Python for Data Science - I have used R for a few years and this was my first book that covered Python for data science. Even though it does not go into super great depth in any area, it is definitely a super book. It covers everything from Pandas, Matplotlib, and scikit-learn. I would highly recommend it for anyone that is new to Python and/or data science. The book is written with Jupyter Notebooks so it is easy to follow along and try code from the book in your own notebook.
Review: Great coverage of essential topics - When I first received this book, I was surprised that it didn't get to scikit-learn until the last third of the book. The first third is about numpy and pandas, and the middle third is about matplotlib. Now that I've been applying it at work, however, I've found that the items covered in the first two thirds were really essential. I wouldn't be nearly as productive if I had just jumped straight to the sections on scikit-learn. The author does an excellent job covering broad terrain with enough detail that you are able to apply it to your problems. You will find yourself going back to use this book as a reference.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #116,466 in Books ( See Top 100 in Books ) #51 in Computer Programming Languages #89 in Python Programming |
| Customer Reviews | 4.6 4.6 out of 5 stars (690) |
| Dimensions  | 7 x 1.25 x 10 inches |
| Edition  | 1st |
| ISBN-10  | 1491912057 |
| ISBN-13  | 978-1491912058 |
| Item Weight  | 1.9 pounds |
| Language  | English |
| Print length  | 548 pages |
| Publication date  | January 3, 2017 |
| Publisher  | O'Reilly Media |

## Images

![Python Data Science Handbook: Essential Tools for Working with Data - Image 1](https://m.media-amazon.com/images/I/91Yqv5wWuPL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Excllent Introduction to Python for Data Science
*by G***N on June 9, 2017*

I have used R for a few years and this was my first book that covered Python for data science. Even though it does not go into super great depth in any area, it is definitely a super book. It covers everything from Pandas, Matplotlib, and scikit-learn. I would highly recommend it for anyone that is new to Python and/or data science. The book is written with Jupyter Notebooks so it is easy to follow along and try code from the book in your own notebook.

### ⭐⭐⭐⭐⭐ Great coverage of essential topics
*by L***N on August 5, 2017*

When I first received this book, I was surprised that it didn't get to scikit-learn until the last third of the book. The first third is about numpy and pandas, and the middle third is about matplotlib. Now that I've been applying it at work, however, I've found that the items covered in the first two thirds were really essential. I wouldn't be nearly as productive if I had just jumped straight to the sections on scikit-learn. The author does an excellent job covering broad terrain with enough detail that you are able to apply it to your problems. You will find yourself going back to use this book as a reference.

### ⭐⭐⭐⭐ Not the panacea for data science challenges, but a pretty good resource nevertheless
*by D***Y on June 4, 2017*

I am currently taking a Machine Learning course from Udacity and this book has proven to be a great reference guide for several projects and quizes. Although it does not go in depth in regards to machine learning (although almost half of the book is dedicated to it), it does give an understanding of essential concepts. For those interested in machine learning I would recommend bying "Hands-On Machine Learning with Scikit-Learn and TensorFlow" by Geron as well as this book. There is no one book for data science, and this one is no exception. Just keep that in mind before buying it. Other than that, I am really happy with my purchase. P.S. For those complaining about black and white graphs and diagrams - check the author's GitHub.

## Frequently Bought Together

- Python Data Science Handbook: Essential Tools for Working with Data
- Data Science from Scratch: First Principles with Python
- Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

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*Product available on Desertcart Japan*
*Store origin: JP*
*Last updated: 2026-03-18*