---
product_id: 503511588
title: "Python Data Science Handbook: Essential Tools for Working with Data, Second Edition (Grayscale Indian Edition)"
price: "41168CFA"
currency: XOF
in_stock: true
reviews_count: 10
url: https://mali.desertcart.com/products/503511588-python-data-science-handbook-essential-tools-for-working-with-data
store_origin: ML
region: Mali
---

# Python Data Science Handbook: Essential Tools for Working with Data, Second Edition (Grayscale Indian Edition)

**Price:** 41168CFA
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Python Data Science Handbook: Essential Tools for Working with Data, Second Edition (Grayscale Indian Edition)
- **How much does it cost?** 41168CFA with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [mali.desertcart.com](https://mali.desertcart.com/products/503511588-python-data-science-handbook-essential-tools-for-working-with-data)

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- Customers looking for quality international products

## Why This Product

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## Description

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. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms

Review: Very good book - Very good book. Must have for people transitioning into DS and ML
Review: Good Book you must prefer - The book is good for beginners as well as for experts. The language is too easy to understand

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #38,408 in Books ( See Top 100 in Books ) #13 in Algorithms |
| Customer Reviews | 4.6 out of 5 stars 155 Reviews |

## Images

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## Customer Reviews

### ⭐⭐⭐⭐⭐ Very good book
*by V***G on 21 April 2026*

Very good book. Must have for people transitioning into DS and ML

### ⭐⭐⭐⭐⭐ Good Book you must prefer
*by S***R on 10 August 2025*

The book is good for beginners as well as for experts. The language is too easy to understand

### ⭐⭐⭐⭐⭐ Good book
*by D***L on 1 June 2025*

Great work , it's really more informative.

## Frequently Bought Together

- Python Data Science Handbook: Essential Tools for Working with Data, Second Edition (Grayscale Indian Edition)
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- Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, Third Edition (Grayscale Indian Edition)

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*Product available on Desertcart Mali*
*Store origin: ML*
*Last updated: 2026-10-13*