golang data structures

Databricks Certified Data Engineer Associate Study Guide - by Derar Alhussein (Paperback)

Python for Data Analysis - 3rd Edition by Wes McKinney (Paperback)

Designing with Data - by Rochelle King & Elizabeth F Churchill & Caitlin Tan (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Database Internals - by Alex Petrov (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Kafka: The Definitive Guide - 2nd Edition by Gwen Shapira & Todd Palino & Rajini Sivaram & Krit Petty (Paperback)

Mastering Shiny - by Hadley Wickham (Paperback)

Implementing MLOps in the Enterprise - by Yaron Haviv & Noah Gift (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

Dataproc Cookbook - by Narasimha Sadineni & Anuyogam Venkataraman (Paperback)

Data Pipelines Pocket Reference - by James Densmore (Paperback)

Delta Lake: The Definitive Guide - by Denny Lee & Tristen Wentling & Scott Haines & Prashanth Babu (Paperback)

R for Data Science - 2nd Edition by Hadley Wickham & Mine Cetinkaya-Rundel & Garrett Grolemund (Paperback)

High Performance Spark - 2nd Edition by Holden Karau & Adi Polak & Rachel Warren (Paperback)

Essential Math for Data Science - by Thomas Nield (Paperback)

Streaming Systems - by Tyler Akidau & Slava Chernyak & Reuven Lax (Paperback)

Practical Machine Learning for Computer Vision - by Valliappa Lakshmanan & Martin Görner & Ryan Gillard (Paperback)

D3 for the Impatient - by Philipp K Janert (Paperback)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)

SQL for Data Analysis - by Cathy Tanimura (Paperback)

Training Data for Machine Learning - by Anthony Sarkis (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

Colorwise - by Kate Strachnyi (Paperback)