Course Information
Course Overview
Github copilot for Python developers to increase productivity
This course is for Python developers who want to learn how to use GitHub Copilot to improve their coding skills. GitHub Copilot is a powerful tool that can help you write code faster and more efficiently, and it can also help you improve the quality of your code.
The ideal learner for this course is someone who is already familiar with Python and who is looking for a way to improve their productivity and code quality. The course covers a wide range of topics, from the basics of GitHub Copilot to more advanced topics, such as how to use GitHub Copilot to generate code from comments and how to customize its suggestions.
If you are a Python developer who is looking for a way to improve your coding skills, then this course is for you. GitHub Copilot is a powerful tool that can help you take your coding skills to the next level.
Here are some of the characteristics of the ideal learner for this course:
They are familiar with Python and have some experience coding in Python.
They are looking for a way to improve their productivity and code quality.
They are eager to learn new things and are willing to put in the effort to learn how to use GitHub Copilot.
If you think you fit this description, then I encourage you to take this course. I believe that you will find the course content valuable and that you will learn a lot from it.
Course Content
- 27 section(s)
- 131 lecture(s)
- Section 1 Introduction
- Section 2 Setup and Installation
- Section 3 Python Basics
- Section 4 Print Functions
- Section 5 List In Python
- Section 6 Tuple in Python
- Section 7 Dictionary in Python
- Section 8 Other Data Structures in Python
- Section 9 Code review and Refacotring
- Section 10 Control flow and conditional statements
- Section 11 Functions and methods in Python
- Section 12 Working with Database
- Section 13 Python Classes and Objects
- Section 14 Python Modules
- Section 15 Working with Files
- Section 16 Case Study : Simple Hotel Reservation System
- Section 17 Diagram as code using python diagrams library
- Section 18 Github Copilot Cli
- Section 19 Testing using pytest
- Section 20 Fast API
- Section 21 Connecting to MySQL
- Section 22 JetBrain db tool to generate queries
- Section 23 Authentication in FastAPI
- Section 24 Deployments
- Section 25 Terraform and Github Copilot
- Section 26 Documentation using Github Copilot
- Section 27 Thank you
What You’ll Learn
- Learn the basics of GitHub Copilot, Use GitHub Copilot to write code faster and more efficiently, Focus on business logic instead of boilerplate code, Debug code more easily
Skills covered in this course
Reviews
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DDouglas J Loqa
I have a hard time understanding the instructor, and there seem to be gaps in the explanation of certain techniques he is implementing. Section 15, for instance talks about a user digram, but I can't really make out the code or tech that he is going over. I can see some of what the Copilot is doing, but, I could use detail on how to prompt it, and helping to understand the code it is producing.
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AAditya Singh
The course is very easy to understand. It is very useful for harnessing the powers of github copilot much better. It helped me a lot, would definitely recommend to everyone!
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HHitesh Premchandani
I really enjoyed this course. The instructor is very knowledgeable in his field and teaches very well. Highly recommend this course!
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PPrachi Dosani
Comprehensive course introducing GitHub Copilot for Python, perfect for enhancing productivity with practical examples.Highly recommended!!