This book is perfect for those who want a gentle introduction ... Scikit-learn, and Matplotlib. Python Data Science Handbook - Jake VanderPlas Learn how to manipulate, transform, and clean data; ...

This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, ...

Key Takeaways Top data analytics books offer insights for both beginners and seasoned professionals.These reads cover ...

Python debates in the Data Science community. This is largely (though not exclusively ... I have potential bias: I've written four R-related books; I've given keynote talks at useR! and other R ...

Who is your target audience? My book is about pandas – you simply can’t do data science in Python without pandas – and it covers data analysis and machine learning. Since data skills have ...

This book cuts through the noise to help you deliver results. Python has earned a name as a go-to language for working quickly and conveniently with data, performing data analysis, and getting ...

Matloff has written four books about R and is the editor ... against Python is that a person using it for data science needs to learn about extra Python packages, like NumPy, which brings Matlab ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big ...

One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some evidence suggests that data scientists are increasingly using both.