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A Conversation with Bloomberg’s Stefanie Molin about her new book on Data Science, Python and Pandas
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 ...
Key Takeaways Top data analytics books offer insights for both beginners and seasoned professionals.These reads cover ...
Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...
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 ...
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 ...
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.
“Rodeo is an IDE [integrated development environment] that’s built expressly for doing data science in Python,” explained Yhat cofounder Greg Lamp in a blog post today. “Think of it as a ...
What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...
In its IBM Data Science Professional Certificate course, you will learn how to analyze and visualize data and build machine-learning models using Python, SQL, and open-source tools and libraries.
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