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

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.

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

The media could not be loaded.  Recently, I have been studying data visualization based on Python – a common language programming. Thus, I looked for several lesson videos on YouTube and the other physical material, such as books, science magazines. At that time, my friend recommended to me the “Data Visualization with Python for Beginners”.For me, I hate reading books, particularly books related to science so I just often watch the instructions as well as lessons through videos. However, this book changed my view of reading science books because of its interest with valuable knowledge of data visualization before starting the other important processes such as data science, machine learning, data analytics.Besides, this book is divided into 10 chapters including a lot of exercises with keys to practice, and examples that help us to understand easily so far.In the first chapter, readers can learn how to set up the Python environment with Anaconda application needed to run various data visualization. Moreover, the author also describes steps to set up this app in detail with both Windows, MacOS and Linux versions.In the following chapters, the beginners will start to learn and practice the different data visualization libraries, consist of Pandas, Matplotlib, and Seaborn from basic plotting to advanced plotting.In my opinion, if you want to start studying this data visualization using these libraries, this book would be your best choice to read before achieving higher goals in the data science field.

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.

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

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

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.

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.