Title: Programming Web Services with Perl: Practical Advice for Rapid Web Services Development, Author: Randy J. Ray
Title: Node.js 8 the Right Way: Practical, Server-Side JavaScript That Scales, Author: Jim Wilson
Title: JavaScript Application Cookbook: Programming JavaScript Applications, Author: Jerry Bradenbaugh
Title: Playful Python Projects: Modeling and Animation, Author: Mozgovoy Maxim
Title: Python for Beginners: The Dummies' Guide to Learn Python Programming. A Practical Reference with Exercises for Newbies and Advanced Developers, Author: Kevin Lioy
Title: Python: The Blueprint to Python Programming: A Beginners Guide: Everything You Need to Know to Get Started, Author: Cyberpunk Architects
Title: Time Series Forecasting Using Foundation Models, Author: Marco Peixeiro Pre-Order Now
Title: Pandas Brain Teasers: Exercise Your Mind, Author: Miki Tebeka
Title: Mastering Perl/Tk: Graphical User Interfaces in Perl, Author: Stephen Lidie
Title: Coding for Kids Ages 9-15: Simple HTML, CSS and JavaScript lessons to get you started with Programming from Scratch, Author: Bob Mather
Title: Modernizing Legacy Applications in PHP: Make your legacy applications organized, testable and free of globals, Author: Paul Jones
Title: Python Programming: You're Beginner Guide to Learn Python the Main Applications, Data Analysis, And Data Science Include:, Author: Megane Noel
Title: Groovy and Grails Recipes, Author: Bashar Jawad
Title: The Essential Guide to Open Source Flash Development, Author: John Grden
Title: Pro Django, Author: Marty Alchin
Title: Training Systems using Python Statistical Modeling: Explore popular techniques for modeling your data in Python, Author: Curtis Miller
Title: jQuery, CSS3, and HTML5 for Mobile and Desktop Devices: A Primer, Author: Oswald Campesato
Title: Practical Web Scraping for Data Science: Best Practices and Examples with Python, Author: Seppe vanden Broucke
Title: The Essential Guide to Dreamweaver CS3 with CSS, Ajax, and PHP, Author: David Powers
Title: Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way, Author: Hannah Stepanek

Pagination Links