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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
Languages
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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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Toc

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

Methods

  • setup: This is an optional method implemented by the PixieApp to initialize its state. Will be automatically invoked before the PixieApp runs.

    Arguments: None

    Example:

    def setup(self):
        self.var1 = “some initial value”
        self.pandas_dataframe = pandas.DataFrame(data)
  • run: This starts the PixieApp.

    Arguments:

    • entity: [Optional] Dataset passed as input to the PixieApp. Can be referenced with the pd_entity attribute or directly as a field called pixieapp_entity.
    • **kwargs: Keyword arguments to be passed to the PixieApp when it runs. For example, using runInDialog=”true” will start the PixieApp in a dialog.
      app = MyPixieApp()
      app.run(runInDialog=”true”)

    Example:

  • invoke_route: This is used to programmatically invoke a route.

    Arguments:

    • Route method: Method to be invoked.
    • **kwargs: Keyword arguments to be passed to the route method...
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