
Learn to use GitHub Copilot for code explanations and debugging inside the editor, including a line-by-line recursion explanation of a factorial function and inserting fixes directly into your file.
Learn how to add and remove a task with GitHub Copilot, which scans code and proposes a remove task method, then checks the list and handles not found cases.
Set up the database using MySQL Workbench by executing create database clinical underscore data, then inspect tables with show tables; initial tables are empty until Django migrations create them later.
Run makemigrations and migrate to create patient and clinical data tables in the clinical app, verified by show tables in MySQL workbench.
Run unit tests in a simulated Django environment and fix field name mismatches. Leverage Copilot to adjust patient attributes first_name, last_name, and age, and correct put update payload.
Add back links to navigate to the home screen from the add patient and add clinical forms by wrapping the forms in a div and importing link from react-router-dom.
Learn to dockerize a Django clinical services app, create a dockerfile and docker compose yaml to run two services (MySQL database and the Django app) with Copilot.
Celebrate your progress in ai with GitHub Copilot for Python and Django rest developers by sharing achievements on LinkedIn and leaving feedback, ratings, and reviews.
Embark on a journey to revolutionize your coding workflow with "GitHub Copilot for Python and Django Developers", the course designed to turn GitHub's AI into your most trusted coding partner. This comprehensive guide is tailored specifically for Python and Django developers seeking to harness the full potential of GitHub Copilot.
Whether you're tackling complex web applications, automating routine tasks, or exploring new algorithms, this course will provide you with the knowledge to integrate Copilot into your development process seamlessly. Through practical examples and real-world scenarios, you'll learn how to:
Navigate the Basics: Understand the fundamentals of GitHub Copilot, set it up, and customize it for your Python and Django environment.
Code with AI: Leverage Copilot's AI to write better code, faster. Watch as it autocompletes functions, generates code snippets, and offers up solutions you hadn't even considered.
Boost Productivity: Discover strategies to increase your coding efficiency, reduce bugs, and save valuable time on project development.
Best Practices: Learn the dos and don'ts, and how to maintain best coding practices while working with an AI pair programmer.
Troubleshoot and Optimize: Fine-tune Copilot's suggestions for your specific needs, and troubleshoot common issues that arise during development.
By the end of this course, GitHub Copilot won't just be a tool; it will be an indispensable extension of your coding intellect. Sign up today to redefine the way you code with Python and Django. In this course you will
Experience Copilot's magic: code generation, review, and refactoring made easy
Utilize Copilot for clear code explanations and efficient debugging
Progress from simple to complex Python programs, mastering Copilot along the way
Develop a patient clinicals REST API using Django REST Framework
Quickly create model classes, serializers, and configure URLs with Copilot
Effortlessly learn to create and run unit tests for your applications
Build a frontend effortlessly using React with Copilot
Swiftly generate and navigate React components for seamless screen transitions
Skip Google and Stack Overflow; let Copilot diagnose and fix coding errors directly