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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Product Management's Sacred Seven: The Skills Required to Crush Product Manager Interviews and be a World-Class PM (Fast Forward Your Product Career: The Two Books Required to Land Any PM Job)
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
