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Numerical Computing with Python

You're reading from   Numerical Computing with Python Harness the power of Python to analyze and find hidden patterns in the data

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789953633
Length 682 pages
Edition 1st Edition
Languages
Concepts
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Authors (5):
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Pratap Dangeti Pratap Dangeti
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Pratap Dangeti
Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
Allen Yu Allen Yu
Author Profile Icon Allen Yu
Allen Yu
Aldrin Yim Aldrin Yim
Author Profile Icon Aldrin Yim
Aldrin Yim
Claire Chung Claire Chung
Author Profile Icon Claire Chung
Claire Chung
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Table of Contents (21) Chapters Close

Title Page
Contributors
About Packt
Preface
1. Journey from Statistics to Machine Learning FREE CHAPTER 2. Tree-Based Machine Learning Models 3. K-Nearest Neighbors and Naive Bayes 4. Unsupervised Learning 5. Reinforcement Learning 6. Hello Plotting World! 7. Visualizing Online Data 8. Visualizing Multivariate Data 9. Adding Interactivity and Animating Plots 10. Selecting Subsets of Data 11. Boolean Indexing 12. Index Alignment 13. Grouping for Aggregation, Filtration, and Transformation 14. Restructuring Data into a Tidy Form 15. Combining Pandas Objects 1. Other Books You May Enjoy Index

Comparing President Trump's and Obama's approval ratings


Public support of the current President of the United States is a topic that frequently makes it into news headlines and is formally measured through opinion polls. In recent years, there has been a rapid increase in the frequency of these polls and lots of new data rolls in each week. There are many different pollsters that each have their own questions and methodology to capture their data, and thus there exists quite a bit of variability among the data. TheAmerican Presidency Project from the University of California, Santa Barbara, provides an aggregate approval rating down to a single data point each day.

Unlike most of the recipes in this book, the data is not readily available in a CSV file. Often, as a data analyst, you will need to find data on the web, and use a tool that can scrape it into a format that you can then parse through your local workstation.

Getting ready

In this recipe, we will use the read_html function, which...

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