{"product_id":"9781788628136","title":"Matplotlib for Python Developers: Effective techniques for data visualization with Python","description":"\u003cb\u003eLeverage the power of Matplotlib to visualize and understand your data more effectively\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003ePerform effective data visualization with Matplotlib and get actionable insights from your data\u003c\/li\u003e\n\u003cli\u003eDesign attractive graphs, charts, and 2D plots, and deploy them to the web\u003c\/li\u003e\n\u003cli\u003eGet the most out of Matplotlib in this practical guide with updated code and examples\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003ePython is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. \u003cp\u003e\u003c\/p\u003eMatplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.\u003cp\u003e\u003c\/p\u003eBy the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.\u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eCreate 2D and 3D static plots such as bar charts, heat maps, and scatter plots\u003c\/li\u003e\n\u003cli\u003eGet acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib\u003c\/li\u003e\n\u003cli\u003eDevelop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn\u003c\/li\u003e\n\u003cli\u003eCreate interactive plots with real-time updates\u003c\/li\u003e\n\u003cli\u003eDevelop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django\u003c\/li\u003e\n\u003cli\u003eWrite data visualization code that is readily expandable on the cloud platform\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eThis book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46458058866929,"sku":"9781788628136","price":37.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781788628136_p0.jpg?v=1765951476","url":"https:\/\/shop.barnesandnoble.com\/products\/9781788628136","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}