golang data structures

Murach's Python for Data Analysis - by Scott McCoy (Paperback)

Scaling Python with Dask - by Holden Karau & Mika Kimmins (Paperback)

Harley Hahn's Emacs Field Guide - (Paperback)

Building Distributed Systems with Go and Nats - by Delio D'Anna (Paperback)

Becoming a Data Head - by Alex J Gutman & Jordan Goldmeier (Paperback)

A Mathematical Introduction to Data Science with Python - by Yi Sun & Rod Adams (Paperback)

Unleashing the Power of Data with Trusted AI - by Wendy Turner-Williams (Paperback)

Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

Data Structures the Fun Way - by Jeremy Kubica (Paperback)

Machine Learning and AI with Simple Python and MATLAB Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Data Grab - by Ulises A Mejias & Nick Couldry (Hardcover)

Practical Data Quality Techniques - by Dan Myers

Cracking the Data Engineering Interview - by Kedeisha Bryan & Taamir Ransome (Paperback)

Kaplan Early Learning Loose Parts STEM Kit: Inclined to Exploration

Business 101 for the Data Professional - by Jordan Morrow (Paperback)

Fortran 95 Handbook - (Scientific and Engineering Computation) by Jeanne C Adams & Walter S Brainerd & Jeanne T Martin (Paperback)

The Formal Semantics of Programming Languages - (Foundations of Computing) by Glynn Winskel (Paperback)

Pascal Programming for Libraries - (Contributions in Librarianship and Information Science) by Charles H Davis & Gerald Lundeen & Debora Shaw

Memory Thinking for C & C++ Linux Diagnostics - (Linux Internals Supplements) 2nd Edition (Paperback)

Python 3 - (De Gruyter Studium) by Steffan Kaminski (Paperback)

Deep Learning on Embedded Systems - by Tariq M Arif (Hardcover)

Convex Optimization for Machine Learning - by Changho Suh (Hardcover)

Mathematical Foundations of Reinforcement Learning - by Shiyu Zhao (Hardcover)