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Data Visualization in Python is a book for beginner to intermediate Python developers and will guide 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. Before diving too deep into the libraries themselves, we'll help you gain a better understanding of how the landscape of Python’s visualization libraries breaks down. To put that another way, it’s helpful to understand how the different Python libraries are designed and related to one another. Understanding how the different libraries operate will help you choose the best library for your visualization project.In this book we • Matplotlib-based libraries• JavaScript libraries• JSON libraries• WebGL librariesMore specifically, over the span of 11 chapters you'll learn about 9 Python 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.With over 330 pages and 45,000+ words, this book will act as a one-stop in-depth resource for learning the ins and outs of each. Whether you're a student or a seasoned developer, this book aims to get you on board with the current landscape of Data Visualization libraries in Python and up to speed with some of the most popular and powerful tools out there. Changelog September 2020 (v1.0.0) • PublishedDecember 2020 (v1.1.0) • Fixed image ordering issue in Chapter 9 • Fixed content rendering issue near end of Chapter 9 and start of Chapter 10 • Added ~50 pages through new in-depth examples, new datasets, and updates to existing examples • Added new subsections "Change Tick Frequency", "Set Axis Range (xlim, ylim)", and "Bar Plots" to Chapter 4 • Updated "Histogram Plots" and "Scatter Plot" in Chapter 4 • Added new subsections "Violin Plots", "Bar Plots", and "Scatter Plots" to Chapter 5 • Updated "Distribution Plots" and "Pair Plots" in Chapter 5
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