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Data Analysis with Python

You're reading from   Data Analysis with Python A Modern Approach

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950069
Length 490 pages
Edition 1st Edition
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Author (1):
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David Taieb David Taieb
Author Profile Icon David Taieb
David Taieb
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Table of Contents (14) Chapters Close

Preface 1. Programming and Data Science – A New Toolset FREE CHAPTER 2. Python and Jupyter Notebooks to Power your Data Analysis 3. Accelerate your Data Analysis with Python Libraries 4. Publish your Data Analysis to the Web - the PixieApp Tool 5. Python and PixieDust Best Practices and Advanced Concepts 6. Analytics Study: AI and Image Recognition with TensorFlow 7. Analytics Study: NLP and Big Data with Twitter Sentiment Analysis 8. Analytics Study: Prediction - Financial Time Series Analysis and Forecasting 9. Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis 10. The Future of Data Analysis and Where to Develop your Skills A. PixieApp Quick-Reference Other Books You May Enjoy Index

Increase modularity and code reuse

Breaking up your application into smaller, self-contained components is always a good development practice because it makes the code reusable and easier to maintain. The PixieApp framework provides two ways to create and run reusable components:

  • Dynamically invoking other PixieApps with the pd_app attribute
  • Packaging part of an application as a reusable widget

Using the pd_app attribute, you can dynamically invoke another PixieApp (we'll call it child PixieApp from here on) by its fully qualified class name. The output of the child PixieApp is placed in the host HTML element (usually a div element) or in a dialog by using the runInDialog=true option. You can also initialize the child PixieApp using the pd_options attribute, in which case the framework will invoke the corresponding route.

To better understand how pd_app works, let's rewrite our WordCloud application by refactoring the code that generates the WordCloud image in its own PixieApp that...

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