This book shows that data structures and algorithms aren't just theory, but are useful for your Python code. Jay Wengrow looks at how techniques such as Big O notation can make code run faster, and ...

This comprehensive tutorial provides a step by step guide to performing exploratory data analysis on complex datasets using Python Pandas, Seaborn, and Matplotlib. Learn how to inspect data structures ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

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

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

A method to visualize and debug tree-like data structures using DOT and Graphviz. During the early stages of development of my inverse kinematics library (which, at the time of writing, is in its ...

The volume and variety of enterprise data collected for analytics and AI applications continue to increase. To gain valuable business insights from these complex data assets, organizations are also ...

Through activities and discussions, DS109 is designed as an introduction to academic and personal success at BU as a Data Science Major. Topics includes advising, curriculum planning, time management, ...