Python Data Analysis Cookbook

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Python: End-to-end Data Analysis

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, Edition 3

What Is Data Science?

The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions

TIME-SERIES ANALYSIS: FORECASTING STOCK PRICE USING MACHINE LEARNING WITH PYTHON GUI

Python: Master the Art of Design Patterns

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Building Data Science Teams

GOOGLE STOCK PRICE: TIME-SERIES ANALYSIS, VISUALIZATION, FORECASTING, AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking