Github copilot for Python and basics of FastAPI
Github copilot for Python and basics of FastAPI, available at $49.99, has an average rating of 4.65, with 127 lectures, 4 quizzes, based on 30 reviews, and has 184 subscribers.
You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful for 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.
Enroll now: Github copilot for Python and basics of FastAPI
Summary
Title: Github copilot for Python and basics of FastAPI
Price: $49.99
Average Rating: 4.65
Number of Lectures: 127
Number of Quizzes: 4
Number of Published Lectures: 125
Number of Published Quizzes: 4
Number of Curriculum Items: 133
Number of Published Curriculum Objects: 131
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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.
Target Audiences
- 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.
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.
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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 Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Prerequisites
Lecture 3: Github Copilot Features
Lecture 4: Demystifying Github Copilot
Lecture 5: Decoding GitHub Copilot: Unveiling Context, Intent, Clarity, and Specificity
Lecture 6: How Github Copilot Works
Lecture 7: Productivity Path
Lecture 8: Overview Of Python
Lecture 9: Setup and Install Python and PyCharm
Lecture 10: Install Github Copilot
Chapter 2: Python Basics
Lecture 1: Variables in Python
Lecture 2: Variables Example
Lecture 3: Datatypes in python
Lecture 4: Reading from and Writing to console
Lecture 5: String data type and manipulation
Lecture 6: Python Variables Rules
Chapter 3: Print Functions
Lecture 1: Summary
Lecture 2: Print function example
Lecture 3: Pretty Printing Json and yaml
Lecture 4: Print function summary
Chapter 4: List In Python
Lecture 1: Common Data Structures
Lecture 2: List
Lecture 3: Add Item to List
Lecture 4: Removing Item from list
Lecture 5: Slicing List
Chapter 5: Tuple in Python
Lecture 1: Tuple Introduction
Lecture 2: Creating Tuple
Lecture 3: Adding items
Lecture 4: Accessing elements from tuple
Chapter 6: Dictionary in Python
Lecture 1: Dictionary in Python
Lecture 2: Creating a Dictionary
Lecture 3: Adding Item into Dictionary
Lecture 4: Accessing elements from Dictionary
Chapter 7: Other Data Structures in Python
Lecture 1: Set
Lecture 2: List Comprehension
Lecture 3: List Comprehension example
Lecture 4: Summary
Chapter 8: Code review and Refacotring
Lecture 1: Function code review
Lecture 2: Variables Code Review
Lecture 3: Code review using custom coding standard file
Lecture 4: Method refacotring into Multiple Methods
Lecture 5: Creating a list in Python
Chapter 9: Control flow and conditional statements
Lecture 1: if else conditions
Lecture 2: For Loop
Lecture 3: While loop
Chapter 10: Functions and methods in Python
Lecture 1: Functions basics part 1
Lecture 2: Functions basics part 2
Lecture 3: Sorting Functions
Lecture 4: Functions Exercises
Chapter 11: Working with Database
Lecture 1: MySql Setup on WIndows
Lecture 2: MySql Setup on Ubuntu
Lecture 3: Connect to Mysql DB
Lecture 4: Insert and Delete Record
Lecture 5: Sql Develoer Query editor configuration
Lecture 6: Calling stored Procedure
Chapter 12: Python Classes and Objects
Lecture 1: Classes and Objects
Lecture 2: Inheritance
Lecture 3: Create diagram using github copilot
Lecture 4: Examples of class using github copilot
Chapter 13: Python Modules
Lecture 1: Module in Python
Lecture 2: Example of Python Module
Chapter 14: Working with Files
Lecture 1: File Handling in Python
Lecture 2: Reading file
Lecture 3: Writing to File
Lecture 4: Exception handling in Files
Lecture 5: Writing to JSON file
Chapter 15: Case Study : Simple Hotel Reservation System
Lecture 1: Usecase diagram for System using PlantUML
Lecture 2: Class Diagram using PlantUML
Lecture 3: Sequence Diagram
Lecture 4: Simple Hotel Reservation System Implementation
Lecture 5: Acitivy diagram using Github Copilot
Lecture 6: Create a Component Diagram using PlantUML
Lecture 7: Create a state diagram using PlantUML
Chapter 16: Diagram as code using python diagrams library
Lecture 1: Introduction to diagrams
Lecture 2: A sample diagram as code
Lecture 3: Client call to Fastapi diagram example
Lecture 4: Adding more components
Lecture 5: Solutuions : Use GitHub copilot to solve problem
Chapter 17: Github Copilot Cli
Instructors
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Pritesh Mistry
Java , Spring boot , cloud programmer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 16 votes
- 5 stars: 10 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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