Python for Algorithmic Trading

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis

Artificial Intelligence in Finance

Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python

Financial Theory with Python: A Gentle Introduction

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

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging

Data Science from Scratch: First Principles with Python, Edition 2

Listed Volatility and Variance Derivatives: A Python-based Guide

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

Reinforcement Learning for Finance: A Python-Based Introduction

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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

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

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

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Python Cookbook: Recipes for Mastering Python 3, Edition 3

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