Python is one of the **most widely used** programming languages in the data science field. Python has many packages and libraries that are specifically tailored for certain functions, including **pandas, NumPy, scikit-learn, Matplotlib, and SciPy**. So if you are looking for the **Best Books on Data Science with Python**, then you should check these books.

In this article, you will find 8 Best Books on Data Science with Python. These books will give you in-depth knowledge starting from **basics to advanced level**. Now without wasting your time, let’s start finding the **Best Books on Data Science with Python**–

**Best Books on Data Science with Python**

**Best Books on Data Science with Python**

- 1. Python Data Science Handbook
- 2. Data Science from Scratch: First Principles with Python
- 3. Data Science Projects with Python
- 4. Python for Data Analysis
- 5. Python For Data Science
- 6. Introduction to Machine Learning with Python
- 7. Python for Data Science For Dummies
- 8. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Conclusion

**1. Python Data Science Handbook**

**Author-** Jake VanderPlas

**About Book-**

For Data Science, a programming language is mandatory. Python is the most suitable programing language for Data Science. As a Data Scientist, most of the time, you have to work on **Data manipulation and Data Cleaning**. And you can perform these tasks with Pandas.

With this book, you’ll learn how to use:

**IPython and Jupyter:**provide computational environments for data scientists using Python**NumPy:**includes the ndarrayfor efficient storage and manipulation of dense data arrays in Python**Pandas:**features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python**Matplotlib:**includes capabilities for a flexible range of data visualizations in Python**Scikit-Learn:**for efficient and clean Python implementations of the most important and established machine learning algorithms

**You Should Read this Book, if-**

- You want to learn Python Libraries for Data Science.

**Where to Buy?**

You can buy this book on Amazon- **Python Data Science Handbook**

**2. Data Science from Scratch: First Principles with Python**

**Author**– Joel Grus

**About Book**

As the book’s name sounds,” **Data Science from Scratch**”, this book is best for beginners. This book begins with very basics. And if you don’t have Python Knowledge, then also this is a good book for you.

In Data Science, knowledge of **statistics, Linear Algebra, and Probability are mandatory**. So this book will give you the **basics of linear algebra, statistics, and probability**. Along with that, you will understand how and when they’re used in data science.

The next skill for Data Science is Programming Language. So in this book, you will get a **crash course in Python.** And the next Skill for data science is Knowledge of **Machine Learning**. In this book, you will dive into the **fundamentals of machine learning.**

You will also learn how to implement models such as **k nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering.**

Knowledge of **Data Cleanin**g is also required for Data Science. In this book, you will learn how to **collect, explore, clean, munge, and manipulate data**.

In a nutshell, this book is an **entry-level book for beginners.**

**You Should Read this Book, If-**

- You are Beginner and don’t have any knowledge of Python or Statistics. Then you should definitely read this book.
- You want to learn the basics of Mathematics required for Data Science.

**Where To Buy?**

You can buy this book on Amazon- **Data Science from Scratch** or Download the Ebook **here**

**3. Data Science Projects with Python**

**Author**– Stephen Klosterman

**About Book**

In this book, you will get **practical guidance on industry-standard data analysis and machine learning tools** by applying them to real data problems. This book covers **pandas and Matplotlib** concepts. And how to use them to critically examine datasets with summary statistics and graphs.

In this book, you will also learn how to use** lasso and ridge regression** to regularize your models. After reading this book, you will have a solid understanding of how to use machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data.

**You Should Read this Book, If-**

- You have some
**previous understanding of Python**and you want a detailed walk-through of a Data Science project. - And you are familiar with
**mathematical concepts**such as**algebra and basic statistics**will also be useful.

**Where To Buy?**

You can buy this book on Amazon- **Data Science Projects with Python**

**4. Python for Data Analysis**

Author- Wes McKinney

**About Book-**

This book is good for analysts, who are new to Python, and for Python programmers who are new to data science and scientific computing. This book will first teach you the **basics of Python programming**. Then it will cover **Python’s role in data analysis and statistics. **That’s why it is good for beginners in Python. After reading this book you can build **real-world applications** within a week.

**Python for Data Analysis** will also give you an idea of when you start working as a Data Analyst or scientist. You will learn basic and advanced features in **NumPy (Numerical Python).** Along with that, you will learn how to solve **real-world data analysis problems **with thorough, detailed examples.

**You should read this book, if-**

- You are analysts new to Python or Python programmers new to data science and scientific computing.

**Where to Buy?**

You can buy this book on Amazon-**Python for Data Analysis**

**5. Python For Data Science**

**Author**– Mr Ethan Williams

**About Book-**

This is a comprehensive book for **beginners** to learn Python Programming for data science. In this book, you will learn Python libraries such as **NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualization.** This book has practical examples and applications for each lesson. In a nutshell, this book is good for data science beginners.

**You should read this book, if-**

- You are a Data Science Beginner.

**Where to Buy?**

You can buy this book on Amazon- **Python For Data Science**

**6. ****Introduction to Machine Learning with Python**

**Introduction to Machine Learning with Python**

**Author-** Andreas C. Müller, Sarah Guido

**About Book-**

This book will start your Machine Learning Journey in Python. In this book, you will learn the **fundamental concepts** and applications of machine learning. Along with that, you will learn A**dvanced methods for model evaluation and parameter tuning.**

This book also covers **Methods for working with text data, including text-specific processing techniques**.

**You should read this book, if-**

- You are a beginner in Machine Learning.
- Or you want to create a successful machine-learning application with Python and the scikit-learn library.

**Where to Buy?**

You can buy this book on Amazon- **Introduction to Machine Learning with Python.**

**7. Python for Data Science For Dummies**

This book is good for those who are **new to data analysis**. This book teaches the **basics of Python data analysis programming and statistics.** And you will also learn **Google Colab** and statistical concepts such as **probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.**

**You should read this book, if-**

- You have previous knowledge in Python and want to learn data analysis using Python.

**Where to Buy?**

You can buy this book on Amazon- **Python for Data Science For Dummies**

**8. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow**

**Author-** Aurélien Géron

**About Book-**

This book gives you a **hands-on approach to learning by doing**. It starts with the more **traditional ML approaches (the Scikit-learn part)** giving you a great deal of context and practical tools for solving all kinds of problems. This book has an excellent balance between theory/background and implementation.

This practical book shows you how even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.

This Book uses concrete examples, minimal theory, and two production-ready Python frameworks—**Scikit-Learn and TensorFlow**.

The first part of the book explains basic **Machine Learning Algorithms. Support Vector Machine, Decision, Trees, Random Forests**, and many more. In this book,** Scikit-learn examples** for each of the algorithms are included.

In the second part, deep learning concepts through the **TensorFlow library** are explained.

**You Should read this book, if-**

- If you have basic programming knowledge.
- The one who is a beginner to Machine Learning and wants to start with the basics of coding.
- if you are interested in the popular scikit-learn machine learning library.

**Where to Buy?**

You can buy this book on Amazon- **Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow**

**Conclusion**

In this article, you have discovered the **8 Best Books on Data Science with Python**. Have you Bought or Read anyone of these Books?. If yes then tell your experience in the comment section.

I hope these ** 8 Best Books on Data Science with Python** will help you to begin and boost your Data Science Journey with Python.

Enjoy Learning!

All the Best!

**People also Search For**

**IBM Data Science vs IBM Data Analyst- Which One is Better for you?****IBM Data Science VS Johns Hopkins Data Science- Which is good? [2024]****IBM Data Science Professional Certificate Review- All You Need to Know****Udacity Data Engineering Nanodegree Review in 2024- Should You Enroll?****Is Udacity Data Science Nanodegree Worth It in 2024?****Is DataCamp Good for Learning Data Science or not in 2024?****15 Best Online Courses for Data Science for Everyone in 2024****Data Analyst Online Certification to Become a Successful Data Analyst****8 Best Data Engineering Courses Online- Complete List of Resources****Best Course on Statistics for Data Science to Master in Statistics****8 Best Tableau Courses Online- Find the Best One For You!****8 Best Online Courses on Big Data Analytics You Need to Know****Best SQL Online Course Certificate Programs for Data Science****7 Best SAS Certification Online Courses You Need to Know**

Thank YOU!

**Explore More about Data Science**,** Visit Here**

## Subscribe For More Updates!

[mc4wp_form id=”28437″]

## Though of the Day…

–

‘It’s what you learn after you know it all that counts.’John Wooden

### Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.