---
product_id: 203511596
title: "Python for Data Visualization for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide with Hands-on Projects and Exercises ... Learning & Data Science for Beginners)"
price: "₹ 2166"
currency: INR
in_stock: true
reviews_count: 10
url: https://www.desertcart.in/products/203511596-python-for-data-visualization-for-beginners-visualize-your-data-using
store_origin: IN
region: India
---

# Python for Data Visualization for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide with Hands-on Projects and Exercises ... Learning & Data Science for Beginners)

**Price:** ₹ 2166
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Python for Data Visualization for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide with Hands-on Projects and Exercises ... Learning & Data Science for Beginners)
- **How much does it cost?** ₹ 2166 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.in](https://www.desertcart.in/products/203511596-python-for-data-visualization-for-beginners-visualize-your-data-using)

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- Free international shipping included
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## Description

Python for Data Visualization for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide with Hands-on Projects and Exercises ... Learning & Data Science for Beginners) - Kindle edition by Publishing, AI. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Python for Data Visualization for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide with Hands-on Projects and Exercises ... Learning & Data Science for Beginners).

Review: Perfect for new Python user, also worked on my Raspberry Pi - I had been trying to use matplotlib on Pi and Windows Python installations with little success for a few weeks before buying this book. Also, I had never used Anaconda or Jupyter. Chap 1 gives great step-by-step guidance for setting up Anaconda, and once that is done all the Python examples work like a charm. I have both the print version and ebook. I enjoy having the print book at hand so that I do not have to switch screens frequently. I haven't found the code files provided to readers necessary as not much typing is required to enter the examples, and the manual entry process does help to clarify the process and make me attentive to details I would otherwise miss. A fringe benefit is that I have become comfortable with Anaconda/Jupyter on my Windows computer. One of my goals was to use matplotlib on my Raspberry Pi 3B+. I had tried before with little success. After reading a couple of chapters of Data Visualization, I realized that the problem resides in the old Pi operating system. I upgraded to the newest version of he Pi OS at RaspberryPi.org. This is the Pi OS that comes with the Rasp Pi 4, but it can also be used by older Pi models. Then, I used pip or sudo apt-get (can't remember which) to install matplotlib on the Pi. I was able to run the examples from Data Visualization on Thonny which is the editor included with current version of the Pi OS. To see the graphs in Thonny I found it was necessary to add the line plt. show() as last line in the examples. The plt.show() line was not needed when I ran the examples in Jupyter on Windows computer. I am extremely pleased with this book. It really is pitched to the level of a beginning Python user. The explanations are precise without being excessive. And all the examples actually work
Review: Significant errors, not worth the cost - I like the way information is organized, but there are typos (even in some of the code) and English errors. I will use it as a reference and mark it up to fix the errors, but for those with English as a first language and/or little programming experience, the grammar mistakes and code typos may be too painful to truly benefit. Save your money and go to an online tutorial.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN  | B084RJ2NN2 |
| Accessibility  | Learn more |
| Best Sellers Rank | #2,399,825 in Kindle Store ( See Top 100 in Kindle Store ) #941 in Data Processing #2,048 in Business Software |
| Customer Reviews | 4.0 4.0 out of 5 stars (67) |
| Edition  | 2nd |
| Enhanced typesetting  | Enabled |
| File size  | 22.8 MB |
| ISBN-13  | 978-1733042680 |
| Language  | English |
| Page Flip  | Enabled |
| Part of series  | Machine Learning & Data Science for Beginners |
| Print length  | 306 pages |
| Publication date  | February 12, 2020 |
| Publisher  | AI Publishing LLC |
| Screen Reader  | Supported |
| Word Wise  | Not Enabled |
| X-Ray  | Not Enabled |

## Images

![Python for Data Visualization for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn, Step-by-Step Guide with Hands-on Projects and Exercises ... Learning & Data Science for Beginners) - Image 1](https://m.media-amazon.com/images/I/71o0TLxOgbL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Perfect for new Python user, also worked on my Raspberry Pi
*by E***R on June 13, 2020*

I had been trying to use matplotlib on Pi and Windows Python installations with little success for a few weeks before buying this book. Also, I had never used Anaconda or Jupyter. Chap 1 gives great step-by-step guidance for setting up Anaconda, and once that is done all the Python examples work like a charm. I have both the print version and ebook. I enjoy having the print book at hand so that I do not have to switch screens frequently. I haven't found the code files provided to readers necessary as not much typing is required to enter the examples, and the manual entry process does help to clarify the process and make me attentive to details I would otherwise miss. A fringe benefit is that I have become comfortable with Anaconda/Jupyter on my Windows computer. One of my goals was to use matplotlib on my Raspberry Pi 3B+. I had tried before with little success. After reading a couple of chapters of Data Visualization, I realized that the problem resides in the old Pi operating system. I upgraded to the newest version of he Pi OS at RaspberryPi.org. This is the Pi OS that comes with the Rasp Pi 4, but it can also be used by older Pi models. Then, I used pip or sudo apt-get (can't remember which) to install matplotlib on the Pi. I was able to run the examples from Data Visualization on Thonny which is the editor included with current version of the Pi OS. To see the graphs in Thonny I found it was necessary to add the line plt. show() as last line in the examples. The plt.show() line was not needed when I ran the examples in Jupyter on Windows computer. I am extremely pleased with this book. It really is pitched to the level of a beginning Python user. The explanations are precise without being excessive. And all the examples actually work

### ⭐ Significant errors, not worth the cost
*by R***A on July 8, 2021*

I like the way information is organized, but there are typos (even in some of the code) and English errors. I will use it as a reference and mark it up to fix the errors, but for those with English as a first language and/or little programming experience, the grammar mistakes and code typos may be too painful to truly benefit. Save your money and go to an online tutorial.

### ⭐⭐⭐⭐⭐ love the book easy to follow
*by A***T on January 22, 2021*

where are the csv files to do the exercises ? how do i get them , im reading it on kindle .

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*Product available on Desertcart India*
*Store origin: IN*
*Last updated: 2026-06-06*