Book contents
- A Hands-On Introduction to Data Science
- A Hands-On Introduction to Data Science
- Copyright page
- Contents
- Preface
- About the Author
- Part I Conceptual Introductions
- Part II Tools for Data Science
- Part III Machine Learning for Data Science
- Part IV Applications, Evaluations, and Methods
- Book part
- Index
- References
Part II - Tools for Data Science
Published online by Cambridge University Press: 07 February 2026
Book contents
- A Hands-On Introduction to Data Science
- A Hands-On Introduction to Data Science
- Copyright page
- Contents
- Preface
- About the Author
- Part I Conceptual Introductions
- Part II Tools for Data Science
- Part III Machine Learning for Data Science
- Part IV Applications, Evaluations, and Methods
- Book part
- Index
- References
Information
- Type
- Chapter
- Information
- A Hands-On Introduction to Data Science with Python , pp. 109 - 180Publisher: Cambridge University PressPrint publication year: 2026
References
Further Reading and Resources
If you are interested in learning more about programming in Python, the following are a few links that might be useful:
Python tutorials:
https://www.w3schools.in/python-tutorial/
https://www.tutorialspoint.com/python/index.htm
https://www.coursera.org/learn/python-programming
https://developers.google.com/edu/python/
https://wiki.python.org/moin/WebProgramming
Hidden features of Python:
https://stackoverflow.com/questions/101268/hidden-features-of-python
DataCamp tutorial on Pandas DataFrames:
https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python
Further Reading and Resources
If you want to learn more about Python and its versatile applications, here are some useful resources.
1. Statistics for Data Science with Python by IBM via Coursera: This course covers essential statistical concepts and techniques using Python and Jupyter Notebooks. 5 Free Python Courses for Stats & Analytics (Statology)
2. Data Analysis with Python by FreeCodeCamp: This free course takes you from the basics of Python to advanced data manipulation and visualization techniques. 5 Free Python Courses for Stats & Analytics (Statology)
3. An Introduction to Statistical Learning with Python: This book provides a broad and less technical treatment of key topics in statistical learning, with practical labs in Python. (An Introduction to Statistical Learning)
4. Learn Stats for Python: Descriptive Statistics I by Statology: This tutorial covers descriptive statistics and data visualization using Python. Learn Stats for Python: Descriptive Statistics I (Statology)
5. Python for Data Science Handbook by Jake VanderPlas: This comprehensive guide covers a wide range of data science topics, including statistical analysis, using Python.
6. Think Stats: Exploratory Data Analysis in Python by Allen B. Downey: This book is an introduction to statistics for people who are new to the subject, using Python.
7. Python Data Science Handbook by Jake VanderPlas: This book provides a comprehensive introduction to data science using Python, including statistical techniques.
8. Data Science from Scratch by Joel Grus: This book covers the fundamentals of data science, including statistics, using Python.
9. Practical Statistics for Data Scientists by Peter Bruce and Andrew Bruce: This book covers essential statistical techniques for data science, with examples in Python.
10. Python for Data Analysis by Wes McKinney: This book focuses on data analysis using Python, including statistical techniques and data manipulation.
Further Reading and Resources
GCP and Python in one minute: https://youtu.be/T_4cGEtHqUs
GCP – getting started with Python: https://cloud.google.com/python/docs/getting-started
Explore Python on AWS: https://aws.amazon.com/developer/language/python/
AWS certification: https://aws.amazon.com/certification/
Microsoft Learn for Azure: https://docs.microsoft.com/en-us/learn/azure/
Microsoft Certified: Azure Fundamentals: https://docs.microsoft.com/en-us/learn/certifications/azure-fundamentals/
An introduction to using Python on Azure: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/an-intro-to-using-python-with-microsoft-azure.pdf
Google Cloud certification: https://cloud.google.com/certification
Cloud computing costs and comparisons: https://www.datamation.com/cloud/cloud-costs/
The dark side of cloud computing: soaring carbon emissions: https://www.theguardian.com/environment/2010/apr/30/cloud-computing-carbon-emissions
Cloud computing and carbon footprint: https://www.innoq.com/en/blog/cloud-computing-and-carbon-footprint/
Accessibility standard: Inaccessible, or known limited accessibility
Why this information is here
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.Accessibility Information
The PDF of this book is known to have missing or limited accessibility features.
We may be reviewing its accessibility for future improvement, but final compliance is
not yet assured and may be subject to legal exceptions. If you have any questions,
please contact
accessibility@cambridge.org.
Content Navigation
Table of contents navigation
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Index navigation
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
Reading Order & Textual Equivalents
Single logical reading order
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
Full alternative textual descriptions
You get more than just short alt text: you have comprehensive text equivalents, transcripts, captions, or audio descriptions for substantial non‐text content, which is especially helpful for complex visuals or multimedia.
You get more than just short alt text: you have comprehensive text equivalents, transcripts, captions, or audio descriptions for substantial non‐text content, which is especially helpful for complex visuals or multimedia.
Visualised data also available as non-graphical data
You can access graphs or charts in a text or tabular format, so you are not excluded if you cannot process visual displays.
You can access graphs or charts in a text or tabular format, so you are not excluded if you cannot process visual displays.
Visual Accessibility
Use of colour is not sole means of conveying information
You will still understand key ideas or prompts without relying solely on colour, which is especially helpful if you have colour vision deficiencies.
You will still understand key ideas or prompts without relying solely on colour, which is especially helpful if you have colour vision deficiencies.
Use of high contrast between text and background colour
You benefit from high‐contrast text, which improves legibility if you have low vision or if you are reading in less‐than‐ideal lighting conditions.
You benefit from high‐contrast text, which improves legibility if you have low vision or if you are reading in less‐than‐ideal lighting conditions.
Structural and Technical Features
ARIA roles provided
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.