data structures and algorithms in javascript book

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

Python for Algorithmic Trading - by Yves Hilpisch (Paperback)

Data Visualization with Python and JavaScript - 2nd Edition by Kyran Dale (Paperback)

Colorwise - by Kate Strachnyi (Paperback)

Graph Algorithms - by Mark Needham & Amy E Hodler (Paperback)

Bioinformatics Data Skills - by Vince Buffalo (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

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

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

Programming Typescript - by Boris Cherny (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

Efficient Node.Js - by Samer Buna (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)

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

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

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

R Packages - 2nd Edition by Hadley Wickham & Jennifer Bryan (Paperback)

Algorithms for Dummies - 2nd Edition by John Paul Mueller & Luca Massaron (Paperback)

Vector Databases - by Nitin Borwankar (Paperback)

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

Observability Engineering - 2nd Edition by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)