How Long to Read Hands-On Data Visualization with Bokeh

How Long Does it Take to Read Hands-On Data Visualization with Bokeh?

It takes the average reader 2 hours and 53 minutes to read Hands-On Data Visualization with Bokeh by Kevin Jolly

Assuming a reading speed of 250 words per minute. Learn more

Description

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key Features A step by step approach to creating interactive plots with Bokeh Go from installation all the way to deploying your very own Bokeh application Work with a real time datasets to practice and create your very own plots and applications Book Description Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. 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. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization. The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch. By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots. What you will learn Installing Bokeh and understanding its key concepts Creating plots using glyphs, the fundamental building blocks of Bokeh Creating plots using different data structures like NumPy and Pandas Using layouts and widgets to visually enhance your plots and add a layer of interactivity Building and hosting applications on the Bokeh server Creating advanced plots using spatial data Who this book is for This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required.

How long is Hands-On Data Visualization with Bokeh?

Hands-On Data Visualization with Bokeh by Kevin Jolly is 168 pages long, and a total of 43,344 words.

This makes it 57% the length of the average book. It also has 53% more words than the average book.

How Long Does it Take to Read Hands-On Data Visualization with Bokeh Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 56 minutes to read Hands-On Data Visualization with Bokeh aloud.

What Reading Level is Hands-On Data Visualization with Bokeh?

Hands-On Data Visualization with Bokeh is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Hands-On Data Visualization with Bokeh?

Hands-On Data Visualization with Bokeh by Kevin Jolly is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Hands-On Data Visualization with Bokeh by Kevin Jolly on Amazon click the button below.