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)

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

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.

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

This book is truly a clear and cogent treatise on Python, Pandas and the various visualization libraries that enable the user to produce beautiful charts. I am enjoying using it and anxious to apply the new learning more as I produce charts and graphs for my work.

I have minimal knowledge of python and coding, this book is perfect for a beginner. One chapter builds on the other, resources are very helpful, and it is very logical and well taught.

There are stack exchange responses that are better than this book. Don’t waste your money

The books by AI Publishing are useful and of good quality. Indicated for beginners on the art and science of Data Science.

Clearly written. Appreciated that it focused on building a concrete project.

Extremely well written, easy to follow, the added Jupyter notebook/lab makes the learning doubly enjoyable. Really a treat to learn. I fully recommend this book.

The book is ok as far as it goes. I couldn't access their website so I couldn't download any sample code or anything else.