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Python for Data Analysis: Data Wrangling With Pandas, NumPy, and Jupyter

Data Science from Scratch: First Principles with Python

Python for Data Analysis: Data Wrangling With Pandas, NumPy, and Jupyter

Ask, Measure, Learn: Using Social Media Analytics to Understand and Influence Customer Behavior

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Agile Data Science 2.0: Building Full-stack Data Analytics Applications With Spark

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Mongodb: The Definitive Guide: Powerful and Scalable Data Storage

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Data science with Java: practical methods for scientists and engineers

Deep learning: a practitioner's approach

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Thoughtful machine learning with Python: a test-driven approach

Learning to love data science

Learning to Love Data Science

High performance spark: best practices for scaling and optimizing Apache Spark

High performance spark: best practices for scaling and optimizing Apache Spark

Streaming architecture: new designs using Apache Kafka and MapR streams

Streaming Architecture: New Designs Using Apache Kafka and MapR Streams

Advanced analytics with SPARK: patterns for learning from data at scale

Advanced analytics with SPARK: patterns for learning from data at scale

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Introduction to machine learning with R: rigorous mathematical analysis

Introduction to machine learning with R: rigorous mathematical analysis

Database Internals: A Deep-Dive into How Distributed Data Systems Work

Cybersecurity ops with bash: attack, defend, and analyze from the command line

The Practitioner's Guide to Graph Data

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