42,65 €
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.
The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. You’ll then build up skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions; the second is a financial portfolio dashboard that models your investments; and the third is visualizesmachine learning algorithms. The final chapter sets you up with some useful final skills, like debugging your code and applying color themes.
In this book you will:
• Create and run your first Dash apps
• Use the pandas library to manipulate and analyze social media and API data
• Create a variety of stunning and effective charts using Plotly
• Learn to use bar charts, chloropleth maps, contour plots, and more
• Examine and build on existing apps written by the pros
Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.
A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.
The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. You’ll then build up skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions; the second is a financial portfolio dashboard that models your investments; and the third is visualizesmachine learning algorithms. The final chapter sets you up with some useful final skills, like debugging your code and applying color themes.
In this book you will:
• Create and run your first Dash apps
• Use the pandas library to manipulate and analyze social media and API data
• Create a variety of stunning and effective charts using Plotly
• Learn to use bar charts, chloropleth maps, contour plots, and more
• Examine and build on existing apps written by the pros
Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.
Christian Mayer has a PhD in computer science and is the founder of the popular Python site [...], an educational platform that helps more than 3 million people a year learn to code. He has published a number of books, including the Coffee Break Python series, and is the author of Python One-Liners (No Starch Press, 2020).
Ann Marie Ward is a Dash contributor and a moderator on the Dash community forum. Ann Marie has a BA in Economics and is a retired CEO. She discovered Dash when searching for a better way to analyze financial data and was so amazed by what's possible to create with Dash that she started to learn Python, JavaScript and R. Her contributions to Dash include improving documentation, fixing bugs, and adding features.
Introduction
PART I: CRASH COURSES
Chapter 1: Python Refresher
Chapter 2: PyCharm Tutorial
Chapter 3: Pandas Crash Course
PART II: BUILDING APPLICATIONS
Chapter 4: First Dash App
Chapter 5: Global Data Analysis: Advanced Layouts and Graphs
Chapter 6: Investment Portfolio: Building Larger Apps
Chapter 7: Exploring Machine Learning
Chapter 8: Tips and Tricks
Appendix: Python Basics
Index
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781718502222 |
| ISBN-10: | 1718502222 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Schroeder, Adam
Mayer, Christian Ward, Ann Marie |
| Hersteller: |
Random House LLC US
No Starch Press |
| Verantwortliche Person für die EU: | Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, D-65189 Wiesbaden, info@bod.de |
| Maße: | 225 x 175 x 17 mm |
| Von/Mit: | Adam Schroeder (u. a.) |
| Erscheinungsdatum: | 24.10.2022 |
| Gewicht: | 0,432 kg |
Ähnliche Produkte
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Werktage
Lieferzeit 1-2 Werktage