This book provides a hands-on introduction to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and activities. Yuli Vasiliev shows how to write Python ...

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

This book sets out to be a simple introduction to Python, specifically how to use it to work with data. The book opens with an introduction to notebooks, with sections on Jupyter notebooks and Google ...

This book is targeted at those who seek greater self-awareness of how we express ourselves in our digital era. Its discoveries show how our digital actions -- how and where we search on the internet, ...

Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results. Python has earned a name as a go-to ...

I want to try predicting the rise and fall of stock prices and exchange rates using AI. When you start handling financial ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

Netflix's data-science team has open-sourced its Metaflow Python library, a key part of the 'human-centered' machine-learning infrastructure it uses for building and deploying data-science workflows.

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 ...