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You're reading from  Interactive Dashboards and Data Apps with Plotly and Dash

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568914
Edition1st Edition
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Author (1)
Elias Dabbas
Elias Dabbas
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Elias Dabbas

Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.
Read more about Elias Dabbas

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Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Our dataset will consist of the files in the data folder in the root of the repository."

A block of code is set as follows:

import plotly.express as px
gapminder = px.data.gapminder()
gapminder

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

import os
import pandas as pd
pd.options.display.max_columns = None
os.listdir(‚data')
['PovStatsSeries.csv',
 'PovStatsCountry.csv',
 'PovStatsCountry-Series.csv',
 'PovStatsData.csv',
 'PovStatsFootNote.csv']

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Another important column is the Limitations and exceptions column."

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Interactive Dashboards and Data Apps with Plotly and Dash
Published in: May 2021Publisher: PacktISBN-13: 9781800568914

Author (1)

author image
Elias Dabbas

Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.
Read more about Elias Dabbas