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Data Literacy With Python

You're reading from   Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

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Product type Paperback
Published in Jul 2024
Publisher Mercury_Learning
ISBN-13 9781836640097
Length 271 pages
Edition 1st Edition
Languages
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Table of Contents (9) Chapters Close

Preface
1. Chapter 1: Working With Data 2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER 3. Chapter 3: Cleaning Datasets 4. Chapter 4: Introduction to Statistics 5. Chapter 5: Matplotlib and Seaborn 6. Index
Appendix A: Introduction to Python 1. Appendix B: Introduction to Pandas

SLICING AND SPLICING STRINGS

Python enables you to extract substrings of a string (called “slicing”) using array notation. Slice notation is start:stop:step, where the start, stop, and step values are integers that specify the start value, end value, and the increment value. The interesting part about slicing in Python is that you can use the value -1, which operates from the right-side instead of the left-side of a string.

Some examples of slicing a string are here:

text1 = "this is a string"
print('First 7 characters:',text1[0:7])
print('Characters 2-4:',text1[2:4])
print('Right-most character:',text1[-1])
print('Right-most 2 characters:',text1[-3:-1])

The output from the preceding code block is here:

First 7 characters: this is
Characters 2-4: is
Right-most character: g
Right-most 2 characters: in

Later in this appendix you will see how to insert a string in the middle of another string.

Testing for Digits and Alphabetic...

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Programming languages
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