Data Visualization in Python with Matplotlib and Pandas is an eBook designed to take absolute beginners to Pandas and Matplotlib, with basic Python knowledge, and allow them to build a strong foundation for advanced work with these libraries - from simple plots to 3D plots and interactive buttons.
Through practical, hands-on, and straightforward examples, the eBook guides you through Data Visualization and Exploration using Python, Pandas, and Matplotlib. You'll learn how to use the constituent elements of Pandas to load and manipulate datasets, as well as how to visualize them, gaining an understanding of the different styles of Matplotlib plotting and the anatomy of Matplotlib plots, before learning how to customize the elements to your liking. Furthermore, the eBook covers a great deal of different plot types, from simple Pie Charts and Bar Plots to 3D Surface Plots and Joint Plots. Each different plot type features a new dataset, containing different types of data you might want to visualize, guiding you through many unique aspects of Data Visualization.
It serves as an in-depth, guide that'll teach you everything you need to know about Pandas and Matplotlib, including how to construct plot types that aren't built into the library itself.
Data Visualization in Python, a eBook for beginner to intermediate Python developers, guides you through simple data manipulation with Pandas, cover core plotting libraries like Matplotlib and Seaborn, and show you how to take advantage of declarative and experimental libraries like Altair. More specifically, over the span of 11 chapters this eBook covers 9 Python libraries: Pandas, Matplotlib, Seaborn, Bokeh, Altair, Plotly, GGPlot, GeoPandas, and VisPy.
Each library has its own unique features and quirks, some related to each other, while some are based on completely different technologies and ideas. That being said, this eBook will act as a one-stop resource for learning the ins and outs of each, and getting acquainted with the landscape of visualization libraries in Python.
It serves as a unique, practical guide to Data Visualization, in a plethora of tools you might use in your career.
Bundled together, you'll have solid knowledge of the landscape of Python's visualization libraries, with practical experience in each, knowledge of when to use each one, and advanced knowledge of Pandas and Matplotlib - the de facto most popular Data Processing and Data Visualization libraries.
Free Updates and Additional Resources
At StackAbuse, we believe that learning is not a one-stop time investment. It's life-long. Especially in the volatile and rapidly changing world of Computer Science and Software Engineering. So, we've pledged to update our eBook , guides, and other upcoming material to keep the pace of progress in the field. Software is updating - it's only fitting that learning resources are updating as well. We'll issue updates to both eBook as the libraries covered within them receive updates individually.
Additionally, we'll issue resources, which aren't long enough to warrant eBook of their own, through time in the form of detailed guides. One such guide - "Guide to Plotting Heatmaps in Seaborn", is included in the bundle for free, as other guides will be once released.
What Our Readers Think
"A very informative overview of many Python modules to visualize data!"
"This is the best all-in-one collection of data plotting techniques for Python, and a good Pandas reference as well. Great deskside reference. I highly recommend."
"Great for beginners and hobbyists such as myself, who'd like to apply data visualization to their respective jobs, but also some intermediate folks. As a PM / PO, I routinely use various data visualization tools, but never did so programmatically. After recently picking up Python for a bit, the book was easy to follow and covered a lot of libraries, their distinctive features and advantages, as well as plot types."
We want to make sure you're 100% happy with our books, so we'll provide full refunds within 30 days of purchase, no questions asked. Simply reply to the download email with your refund request.
Additionally, if there is anything you dislike about the resources, please let us know, and we'll do our best to improve the books in one of the frequent updates.
Who This Bundle is For
Beginner to Advanced Python enthusiasts
Aspiring Data Scientists, who are ready to jump into the world of Data Visualization
Analysts, Product Managers, and Marketing Consultants who'd like to explore trends and adapt their strategies with empirical evidence
The average Joe who's interested in Data Visualization 😉
Prefer the Crinkle of the Paper?
If you prefer the crinkle of the paper, get our books on Amazon:
You'll get 3 PDFs and 3 EPUBs
Data Visualization338 pages
Data Visualization with Matplotlib442 pages
Guide to Plotting Seaborn Heatmaps27 pages
- You'll get 3 PDFs and 3 EPUBs
- Data Visualization338 pages
- Data Visualization with Matplotlib442 pages
- Guide to Plotting Seaborn Heatmaps27 pages