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Christopher Smyth

"Github Copilot with Python: Creating Text Games" is a dynamic course tailored for intermediate programmers ready to expand their skills in AI-assisted coding. Over the span of 1 hour, you'll dive deep into setting up and mastering GitHub Copilot, utilizing its code generation capabilities in Python to craft engaging text games. This course includes hands-on experience in initializing Copilot in GitHub Codespace, developing and enhancing a Rock Paper Scissors Lizard Spock game, and weaving it into a captivating text adventure narrative. Designed specifically for those with intermediate-level Python programming skills, this course requires a solid foundation in reading, designing, and running Python applications, along with a grasp of Object-Oriented Design principles. Additionally, you'll need familiarity with navigating GitHub Codespace, a GitHub account, and a GitHub Copilot subscription. Embarking on this course will significantly benefit your career by equipping you with cutting-edge skills in AI-powered coding, a critical asset in the ever-evolving tech industry. It's an excellent opportunity to stay ahead in the programming world, perfect for those seeking to harness the latest AI technology in their coding repertoire. Prepare to elevate your programming prowess and embrace the future of coding with this engaging, career-enhancing course.

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What's inside

Syllabus

Project Overview
"Github Copilot with Python: Creating Text Games" is a dynamic course tailored for intermediate programmers ready to expand their skills in AI-assisted coding. Over the span of 1 hour, you'll dive deep into setting up and mastering GitHub Copilot, utilizing its code generation capabilities in Python to craft engaging text games. This course includes hands-on experience in initializing Copilot in GitHub Codespace, developing and enhancing a Rock Paper Scissors Lizard Spock game, and weaving it into a captivating text adventure narrative. Designed specifically for those with intermediate-level Python programming skills, this course requires a solid foundation in reading, designing, and running Python applications, along with a grasp of Object-Oriented Design principles. Additionally, you'll need familiarity with navigating GitHub Codespace, a GitHub account, and a GitHub Copilot subscription. Embarking on this course will significantly benefit your career by equipping you with cutting-edge skills in AI-powered coding, a critical asset in the ever-evolving tech industry. It's an excellent opportunity to stay ahead in the programming world, perfect for those seeking to harness the latest AI technology in their coding repertoire. Prepare to elevate your programming prowess and embrace the future of coding with this engaging, career-enhancing course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills in Python programming and Object-Oriented Design, which are core to software development
Emphasizes AI-powered coding, a trending and in-demand skill in the tech industry
Provides hands-on experience in GitHub Copilot, a popular AI-powered coding tool
Introduces learners to GitHub Codespace, a cloud-based development environment
Requires learners to have a GitHub Copilot subscription, which may pose a barrier for some
Is one hour in length, which may be brief for some learners seeking a comprehensive introduction to AI-assisted coding

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Github Copilot with Python: Creating Text Games with these activities:
Read "Automate the Boring Stuff with Python, 3rd Edition" by Al Sweigart
Delve into a comprehensive guide to Python programming, expanding your knowledge and understanding of core concepts, practical applications, and automation techniques.
Show steps
  • Read and understand the book's chapters on Python fundamentals
  • Work through the hands-on exercises and projects provided in the book
  • Apply the techniques and concepts covered in the book to your own Python projects
Practice basic Python programming exercises
Sharpen your foundational Python skills by practicing basic exercises, solidifying your understanding of Python syntax and core concepts.
Browse courses on Programming Fundamentals
Show steps
  • Solve coding challenges on platforms like Codewars or HackerRank
  • Create your own Python scripts to automate simple tasks
  • Build small Python projects to apply your skills in practice
Facilitate a debugging session for troubleshooting errors
Enhance your problem-solving and debugging skills by leading a session to identify and fix errors in Python code, fostering a deeper understanding of code functionality.
Browse courses on Error Handling
Show steps
  • Identify and gather code with bugs or errors
  • Set up a debugging environment with tools like PDB or Python's built-in debugger
  • Guide participants through step-by-step debugging to identify the root causes of errors
Two other activities
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Show all five activities
Build a Python-based text adventure game incorporating GitHub Copilot
Apply your skills in Python and GitHub Copilot to design and implement a captivating text adventure game, solidifying your understanding of game mechanics and AI-assisted coding.
Show steps
  • Plan and design the game's story, characters, and environment
  • Implement the game's logic and mechanics using Python
  • Integrate GitHub Copilot to assist with code generation and optimization
  • Test and debug the game for functionality and user experience
Start a personal project to develop a Python-based text editor or IDE
Embark on a challenging project that will hone your Python skills and provide valuable real-world experience in software development, contributing to your portfolio and professional growth.
Browse courses on Open Source Software
Show steps
  • Plan and define the features and functionality of your text editor or IDE
  • Research and choose appropriate Python libraries and frameworks for your project
  • Design and implement the core features of your editor or IDE
  • Add advanced features and customizations to enhance the user experience

Career center

Learners who complete Github Copilot with Python: Creating Text Games will develop knowledge and skills that may be useful to these careers:
AI Engineer
AI Engineers research, design, develop, and implement AI solutions. They require a solid foundation in Python and AI-driven programming. This course focuses on using GitHub Copilot, an AI-powered coding tool, to create engaging text-based games. By mastering these techniques, you'll develop the necessary skills and confidence to excel as an AI Engineer and drive innovation in the field of artificial intelligence.
Game Developer
Game Developers bring video games to life by designing, programming, and testing them. A strong grasp of Python and experience with game development principles are crucial for this role. This course immerses you in creating text-based games using GitHub Copilot, providing a unique opportunity to enhance your practical skills and immerse yourself in the world of game development.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing, testing, and maintaining machine learning models. Understanding Python and proficiency in AI-powered coding are vital for success in this role. This course provides hands-on experience with GitHub Copilot, empowering you to harness its capabilities in real-world scenarios. By mastering these techniques, you'll elevate your value as a Machine Learning Engineer and expand your expertise in AI-driven solutions.
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and provide insights. Python is widely used in data analysis, and familiarity with AI-powered coding can enhance your ability to automate tasks and streamline the data analysis process. This course provides hands-on experience with GitHub Copilot, equipping you with valuable skills to excel in the data analytics field.
Systems Analyst
Systems Analysts analyze and design business systems to improve efficiency and effectiveness. Familiarity with Python and AI-powered coding can provide a competitive edge in this field. This course offers insights into using GitHub Copilot, equipping you with valuable skills to automate system analysis and design tasks, enhancing your ability to deliver optimal solutions.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's data and systems. Familiarity with Python and AI-powered coding can enhance your understanding of security protocols and threat detection techniques. This course delves into using GitHub Copilot, providing you with insights into automating security tasks and strengthening your ability to safeguard information systems.
Database Administrator
Database Administrators maintain and optimize database systems to ensure data integrity and accessibility. Familiarity with Python and AI-powered coding can enhance your ability to automate database management tasks and troubleshoot complex issues. This course offers insights into using GitHub Copilot, providing you with valuable skills to elevate your efficiency and effectiveness as a Database Administrator.
Web Developer
Web Developers design, build, and maintain websites and web applications. Proficiency in Python and familiarity with AI-assisted coding can provide a competitive edge in this field. This course can help you harness the potential of GitHub Copilot, an invaluable tool for streamlining web development tasks. By leveraging these skills, you'll enhance your productivity and effectiveness as a Web Developer.
UX Designer
UX Designers focus on creating user-centered experiences for products and services. Understanding the basics of Python and having a grasp of AI-assisted coding can provide a competitive edge in this field. This course introduces you to using GitHub Copilot, an AI-powered coding tool, enabling you to explore the potential of automation in UX design. By leveraging these skills, you'll enhance your ability to innovate and deliver exceptional user experiences.
Product Manager
Product Managers oversee the development and launch of products. Familiarity with Python and AI-assisted coding can enhance your ability to collaborate with engineering teams and understand technical aspects of product development. This course offers insights into using GitHub Copilot, providing you with a valuable skill that can differentiate you in the competitive field of product management.
Software Engineer
Software Engineers design, program, test, and maintain applications and systems. A background in programming fundamentals and experience with Python are foundational requirements for a Software Engineer. This course emphasizes Python and may help build a critical foundation for your career as a Software Engineer. By enrolling in this course, you may significantly boost your competency and employability in the software engineering job market.
Technical Writer
Technical Writers create and maintain documentation for software, products, and processes. A background in Python and knowledge of AI-assisted coding can enhance your ability to understand complex technical concepts and present them clearly. This course introduces you to using GitHub Copilot, an AI-powered coding tool, empowering you to automate writing tasks and create high-quality technical documentation more efficiently.
Data Scientist
Data Scientists collect, analyze, and interpret data to help organizations make informed decisions. The ability to apply programming logic and execute Python code is a crucial aspect of the Data Scientist role. Through this course, you'll enhance your Python proficiency and discover how to utilize GitHub Copilot, a valuable tool for automating coding tasks. These skills will augment your foundation in data analysis and strengthen your competitiveness as a Data Scientist.
Business Analyst
Business Analysts bridge the gap between business and technology by analyzing business needs and translating them into technical requirements. Familiarity with Python and AI-powered coding can provide a competitive edge in this field. This course introduces you to using GitHub Copilot, an AI-powered coding tool, enabling you to automate data analysis and reporting tasks, enhancing your ability to deliver valuable insights and drive business decisions.
Project Manager
Project Managers plan, execute, and close projects successfully. Understanding Python and having a grasp of AI-assisted coding can enhance your ability to manage technical projects and collaborate with engineering teams. This course introduces you to using GitHub Copilot, an AI-powered coding tool, enabling you to streamline project management tasks and deliver projects more efficiently.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Github Copilot with Python: Creating Text Games.
Provides a comprehensive guide to deep learning with Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a deep dive into the Python language. It covers advanced topics such as metaprogramming, decorators, and generators.
Provides a comprehensive guide to natural language processing with Python. It covers topics such as text classification, text analysis, and machine translation.
Provides a comprehensive guide to data analysis with Python. It covers topics such as data cleaning, data manipulation, and data visualization.
Provides a fast-paced introduction to Python for those with some programming experience. It covers the basics of Python programming, including data structures, algorithms, and object-oriented programming.
Provides a comprehensive guide to artificial intelligence with Python. It covers topics such as natural language processing, computer vision, and machine learning.
Provides a comprehensive guide to algorithms and data structures in Python. It covers topics such as sorting, searching, and graph algorithms.
Provides a comprehensive guide to computer vision with Python. It covers topics such as image processing, object detection, and video analysis.
Teaches readers how to use Python to automate tasks like web scraping, data analysis, and file manipulation. It practical guide that shows readers how to use Python to solve real-world problems.
Provides a comprehensive guide to writing clean and maintainable code. It covers topics such as code organization, testing, and refactoring.
Provides a practical guide to test-driven development (TDD) with Python. It covers topics such as writing tests, refactoring code, and continuous integration.
Provides a practical guide to writing readable and maintainable code. It covers topics such as code organization, naming conventions, and error handling.
Provides a gentle introduction to Python for those with limited programming experience. It covers the fundamentals of Python programming, including data types, variables, and control flow.

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