![]() Matplotlib Plotting Cookbook Īs a formally educated data scientist with a master’s degree in data science from the prestigious King’s College London, Kevin works as a data scientist with a digital healthcare startup - Connido Limited in London where he is primarily involved with building the descriptive, diagnostic and predictive analytic pipelines. Matplotlib for Python Developers - Second Edition Code in ActionĬlick on the following link to see the Code in Action: We also provide a PDF file that has color images of the screenshots/diagrams used in this book. With the following software and hardware list you can run all code files present in the book (Chapter 1-8). Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required. This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. For example, Chapter02.įollowing is what you need for this book: If you feel this book is for you, get your copy today!Īll of the code is organized into folders. Building and hosting applications on the Bokeh server.Using layouts and widgets to visually enhance your plots and add a layer of interactivity.Creating plots using different data structures like NumPy and Pandas.Creating plots using glyphs, the fundamental building blocks of Bokeh.Installing Bokeh and understanding its key concepts. ![]() ![]() This book covers the following exciting features: This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. Interactive web plotting for Python using Bokeh What is this book about?Īdding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. This is the code repository for Hands-On Data Visualization with Bokeh, published by Packt.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |