| Description |
v, 30m p. : ill ; 24 cm. |
| Contents |
Section 1: Data Analysis Essentials. Chapter 1: Fundamentals of Data Analysis ; Chapter 2: Overview of Python and Installing Jupyter Notebook ; Chapter 3: Getting Started with NumPy ; Chapter 4: Creating Your First pandas DataFrame ; Chapter 5: Gathering and Loading Data in Python -- Section 2: Solutions for Data Discovery. Chapter 6: Visualizing and Working with Time Series Data ; Chapter 7: Exploring, Cleaning, Refining, and Blending Datasets ; Chapter 8: Understanding Joins, Relationships, and Aggregates ; Chapter 9: Plotting, Visualization, and Storytelling -- Section 3: Working with Unstructured Big Data. Chapter 10: Exploring Text Data and Unstructured Data ; Chapter 11: Practical Sentiment Analysis ; Chapter 12: Bringing It All Together. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Python (Computer program language)
|
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Application software -- Development
|
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Development of application software
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Scripting languages (Computer science)
|
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Python (Computer program language)
|
| Added Author |
Vlahutin, Andrew
|
| ISBN |
9781838826031 |
|
