Racket Programming the Fun Way: From Strings to Turing Machines

James W. Stelly is a semiretired systems analyst and developer of several business-line applications utilizing backend databases. He has degrees in mathematics and computer science from the University of Houston, and this book is a result of his lifelong interest in those topics.

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Editie: Paperback

Nr. pagini: 360

Cod: BRT9781718500822

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Racket Programming the Fun Way: From Strings to Turing Machines

De (autor): James W. Stelly

Racket Programming the Fun Way: From Strings to Turing Machines

De (autor): James W. Stelly

Descrierea produsului

De pe acelasi raft

Racket Programming the Fun Way: From Strings to Turing Machines - James W. Stelly

ASP.NET Core 6 and Angular - Fifth Edition: Full-stack web development with ASP.NET 6 and Angular 13 - Valerio De Sanctis

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Isomorphic Web Applications

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation - Tarek A. Atwan

Web Development with Node and Express - Ethan Brown

Solving Business Problems Using SQL: A Definitive Guide for Beginners Who Want to Be Proficient in Database Design and Writing SQL - Hafizur Rahman

Getting Started with SQL and Databases: Managing and Manipulating Data with SQL - Mark Simon

React and React Native - Fourth Edition: Build cross-platform JavaScript applications with native power for the web, desktop, and mobile - Adam Boduch

Full Stack Serverless: Modern Application Development with React, Aws, and Graphql - Nader Dabit

Analysis and Design of Next-Generation Software Architectures: 5g, Iot, Blockchain, and Quantum Computing - Arthur M. Langer

A Developer's Guide to Building Resilient Cloud Applications with Azure: Deploy applications on serverless and event-driven architecture using a cloud - Hamida Rebai Trabelsi

Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python - Paul Crickard

Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk - Abdullah Karasan

Beginning Power Apps: The Non-Developer's Guide to Building Business Applications - Tim Leung

SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis - Renee M. P. Teate

Real-World Next.js: Build scalable, high-performance, and modern web applications using Next.js, the React framework for production - Michele Riva

Functional Kotlin - Alejandro Serrano Mena

Postgis in Action, Third Edition - Leo S. Hsu

SQL: Advanced SQL Query optimization techniques - Andy Vickler