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Cracking the Data Science Interview

You're reading from   Cracking the Data Science Interview Unlock insider tips from industry experts to master the data science field

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805120506
Length 404 pages
Edition 1st Edition
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Authors (2):
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Leondra R. Gonzalez Leondra R. Gonzalez
Author Profile Icon Leondra R. Gonzalez
Leondra R. Gonzalez
Aaren Stubberfield Aaren Stubberfield
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Aaren Stubberfield
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Breaking into the Data Science Field FREE CHAPTER
2. Chapter 1: Exploring Today’s Modern Data Science Landscape 3. Chapter 2: Finding a Job in Data Science 4. Part 2: Manipulating and Managing Data
5. Chapter 3: Programming with Python 6. Chapter 4: Visualizing Data and Data Storytelling 7. Chapter 5: Querying Databases with SQL 8. Chapter 6: Scripting with Shell and Bash Commands in Linux 9. Chapter 7: Using Git for Version Control 10. Part 3: Exploring Artificial Intelligence
11. Chapter 8: Mining Data with Probability and Statistics 12. Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling 13. Chapter 10: Mastering Machine Learning Concepts 14. Chapter 11: Building Networks with Deep Learning 15. Chapter 12: Implementing Machine Learning Solutions with MLOps 16. Part 4: Getting the Job
17. Chapter 13: Mastering the Interview Rounds 18. Chapter 14: Negotiating Compensation 19. Index 20. Other Books You May Enjoy

Using string operations

String operations are very common when working with Python and text data. Therefore, this section will review how to initialize a string, string indexing/slicing, and some common string methods.

Note

We will not review string regular expressions, as this is a large topic with significant depth. Check out Mastering Python Regular Expressions by Victor Romero and Felix L. Luis for more instructions on this topic.

Initializing a string

Python allows for string initialization (creation) in several ways. Two ways include single quotes ('') and double quotes (""):

# Single quotes
s = 'Hello, World!'
print(s)  # prints: Hello, World!
# Double quotes
s = "Hello, World!"
print(s)  # prints: Hello, World!

Single and double quotes are basically interchangeable. The only difference comes into play when you have a quote mark (single or double) inside a string. For example, one common scenario is...

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