Top 6 Best Python Data Science

of November 2024
1
Best ChoiceBest Choice
Python Data Science Handbook: Essential Tools for Working with Data
O'Reilly Media
O'Reilly Media
10
Exceptional
View on Amazon
2
Best ValueBest Value
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
O'Reilly Media
O'Reilly Media
9.9
Exceptional
View on Amazon
3
Data Science from Scratch: First Principles with Python
O'Reilly Media
O'Reilly Media
9.8
Exceptional
View on Amazon
4
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
9.7
Exceptional
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5
Practical Data Science with Python: Learn tools and techniques from hands-on
9.6
Exceptional
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6
Introduction to Machine Learning with Python: A Guide for Data Scientists
O'Reilly Media
O'Reilly Media
9.5
Excellent
View on Amazon
7
Intro to Python for Computer Science and Data Science: Learning to Program with
Pearson
Pearson
9.4
Excellent
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8
Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and
9.3
Excellent
View on Amazon
9
Python for Data Science For Dummies
For Dummies
For Dummies
9.2
Excellent
View on Amazon
10
Cleaning Data for Effective Data Science: Doing the other 80% of the work with
9.1
Excellent
View on Amazon

About Python Data Science

Click here to learn more about these products.

Python Data Science Handbook: Essential Tools for Working with Data

O'Reilly Media.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Data Science from Scratch: First Principles with Python

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data

Introduction to Machine Learning with Python: A Guide for Data Scientists

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

Python for Data Science For Dummies

Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

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