Python Data Science Handbook
Book • 2017
This book is a reference manual and learning resource that teaches statistical and analysis methods crucial to data science.
It covers topics such as Exploratory Data Analysis, data manipulation with Pandas, visualization with Matplotlib, and an introduction to Machine Learning with Scikit-Learn.
The book is designed for readers with a basic programming background and some statistics knowledge, although the latter is not strictly necessary.
It covers topics such as Exploratory Data Analysis, data manipulation with Pandas, visualization with Matplotlib, and an introduction to Machine Learning with Scikit-Learn.
The book is designed for readers with a basic programming background and some statistics knowledge, although the latter is not strictly necessary.
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Recommended by Daniel Whitenack as a learning resource covering Python, data manipulation, visualization, and machine learning.
Clothing AI in a data fabric
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Episode 42: Learning, Teaching, and Building in the Age of AI
