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Hands-On Exploratory Data Analysis with Python

You're reading from   Hands-On Exploratory Data Analysis with Python Perform EDA techniques to understand, summarize, and investigate your data

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789537253
Length 352 pages
Edition 1st Edition
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Authors (2):
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Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
Usman Ahmed Usman Ahmed
Author Profile Icon Usman Ahmed
Usman Ahmed
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Fundamentals of EDA
2. Exploratory Data Analysis Fundamentals FREE CHAPTER 3. Visual Aids for EDA 4. EDA with Personal Email 5. Data Transformation 6. Section 2: Descriptive Statistics
7. Descriptive Statistics 8. Grouping Datasets 9. Correlation 10. Time Series Analysis 11. Section 3: Model Development and Evaluation
12. Hypothesis Testing and Regression 13. Model Development and Evaluation 14. EDA on Wine Quality Data Analysis 15. Other Books You May Enjoy Appendix

String manipulation

By string manipulation, we mean how you can create strings, access characters in those strings, slice the strings, and delete or update characters in the strings and other string operators. In the following sections, we are going to see all these steps, one by one.

Creating strings

We can create strings in Python in three different ways:

  • Using a single quote
  • Using a double quote
  • Using a triple quote.

Have a look at the following example:

String1 = 'Creating a String with single Quotes.'
String2 = "Creating a String with double Quotes."
String3 = '''Creating a String with triple Quotes.'''
print(String1)
print(String2)
print(String3)

The output of all three...

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