Page Index - GracieMcfarland/GracieMcfarlandpdf GitHub Wiki
99 page(s) in this GitHub Wiki:
- Home
- 97 Things Every Cloud Engineer Should Know: Collective Wisdom from the Experts
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- Address Book with Alphabetical Tabs: Large Print Telephone Address Book With Tabs For Seniors. Perfect for Keeping Track of Addresses, Phone Numbers, Emails, Birthdays and Notes.
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- Adopting Elixir: From Concept to Production
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- Advanced Python Scripting for ArcGIS Pro
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- ASP.NET Core 5 and React: Full‐stack web development using .NET 5, React 17, and TypeScript 4, 2nd Edition
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- Beginning Programming with Python For Dummies (For Dummies (Computer Tech))
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- Classic Computer Science Problems in Python
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- Coders: Who They Are, What They Think and How They Are Changing Our World
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- Coding for Kids in C : Learn to Code with Amazing Activities, Games and Puzzles in C (Coding for Absolute Beginners)
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- Create GUI Applications with Python Qt5 (5th Edition, PyQt5): The hands‐on guide to making apps with Python
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- Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison‐Wesley Data Analytics Series)
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- Deep Learning with PyTorch Lightning: Swiftly build high‐performance Artificial Intelligence (AI) models using Python
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- Deep Learning with PyTorch Step‐by‐Step: A Beginner's Guide: Volume I: Fundamentals
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- Design Patterns in Ruby
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- Essential SQLAlchemy: Mapping Python to Databases
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- From Bash to Z Shell: Conquering the Command Line
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- Front‐End Development Projects with Vue.js: Learn to build scalable web applications and dynamic user interfaces with Vue 2
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- Full Stack Development with Spring Boot and React: Build modern and scalable web applications using the power of Java and React, 3rd Edition
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- Full Stack GraphQL Applications: With React, Node.js, and Neo4j
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- Game Development Using Python
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- Get Programming with Node.js
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- Hands‐On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
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- Hands‐On Gradient Boosting with XGBoost and scikit‐learn: Perform accessible machine learning and extreme gradient boosting with Python
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- Head First Learn to Code: A Learner's Guide to Coding and Computational Thinking
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- Home Gracie Mcfarland Book
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- Interpretable Machine Learning with Python: Learn to build interpretable high‐performance models with hands‐on real‐world examples
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- Java: A Beginner's Guide, Eighth Edition
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- JavaScript Patterns: Build Better Applications with Coding and Design Patterns
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- Learn Java: A Crash Course Guide to Learn Java in 1 Week: ( java programming , java for beginners , java programming for beginners, java coding , java )
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- Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw's Hard Way Series)
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- Learning Angular: A no‐nonsense beginner's guide to building web applications with Angular 10 and TypeScript, 3rd Edition
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- Learning PHP, MySQL JavaScript: With jQuery, CSS HTML5 (Learning PHP, MYSQL, Javascript, CSS HTML5)
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- Machine Learning Pocket Reference: Working with Structured Data in Python
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- Mastering Kafka Streams and ksqlDB: Building Real‐Time Data Systems by Example
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- Microservices in .NET, Second Edition
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- Microsoft Blazor: Building Web Applications in .NET 6 and Beyond
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- Moodle 4 E‐Learning Course Development: The definitive guide to creating great courses in Moodle 4.0 using instructional design principles, 5th Edition
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- Practical Programming: An Introduction to Computer Science Using Python 3.6
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- Python 3 Standard Library by Example, The (Developer's Library)
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- Python and R for the Modern Data Scientist: The Best of Both Worlds
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- Python Essential Reference
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- Python for Tweens and Teens ‐ 2nd Edition (Full Color Version): Learn Computational and Algorithmic Thinking
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- Python Programming in Context
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- Responsive Web Design with HTML 5 CSS (MindTap Course List)
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- Responsive Web Design with HTML5 and CSS: Develop future‐proof responsive websites using the latest HTML5 and CSS techniques, 3rd Edition
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- REST API Design Rulebook
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- Scala Cookbook: Recipes for Object‐Oriented and Functional Programming
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- The Hitchhiker's Guide to Python: Best Practices for Development
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- The Statistics and Calculus with Python Workshop: A comprehensive introduction to mathematics in Python for artificial intelligence applications
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