GitHub Copilot For Python developers

Install PyCharm on Windows, choosing the community edition or unified product; GitHub Copilot installation will not affect PyCharm. Open PyCharm and create a project, such as a simple Pi project.

Install VS Code on Windows by downloading the official installer, accepting the agreement, and completing the setup. Launch VS Code to create or open a project and start coding.

Install the GitHub Copilot extension in VS Code, sign in to GitHub, use the Copilot chat to test readiness, and troubleshoot sign-in issues.

Create isolated Python projects with a virtual environment, each with its own interpreter and packages. Learn to create, activate, install with pip, deactivate, and save dependencies in requirements.txt.

Explore how Python variables act as name references to memory, supporting dynamic typing and containers for numbers, strings, lists, or objects, with reference sharing and reassignment as values change.

Explore installing software with GitHub Copilot for Python developers by using agent mode and editor commands in VS Code to create folders and install tools like NodeJS.

Master Python string data types and manipulation by creating strings, concatenating, indexing and slicing, measuring length, and formatting with % formatting, the format method, and f-strings.

Explore the Python print function with real-world examples, covering text output, variables, f-strings, format methods, template strings, and handling bytes, paths, and encoding.

Learn to pretty print json data in python using the json module and indent, and explore yaml formatting with yaml.dump for readable output.

Learn common Python data structures: lists, tuples, dictionaries, and sets—covering mutability, key-value access, and uniqueness, with a preview of trees, graphs, and queues.

Learn how to remove items from a Python list using remove, pop, del, and slicing with examples, assisted by GitHub Copilot.

Discover how to slice Python lists using start, end, and step to obtain subsets, reverse orders, extract last elements with negative indices, and copy lists with simple slicing.

Understand that tuples are immutable in Python, so you cannot add items directly; create a tuple by concatenating or repeating items, and note that single-element tuples require a trailing comma.

Learn to access tuple elements using zero-based indexing, including the last element with negative indices, apply slicing with steps, and unpack tuples with the star operator, guided by GitHub Copilot.

Learn how to access dictionary elements in Python using square brackets, the get method with defaults, and iterating over keys, values, and items, with examples featuring names and country.

Master sets in Python, an unordered collection of unique elements with union and intersection. Learn symmetric difference, and mutable methods like add, remove, discard, pop, clear, and in not in.

Master Python list comprehension to generate lists concisely by applying an expression to each item in an iterable and optionally filtering with a condition, with a square example.

Learn how GitHub Copilot assists code review in Python projects by generating descriptive function names, offering best practices, and guiding code replacement and reformatting.

Explore how GitHub Copilot reviews and renames variables, enforces descriptive naming conventions, identifies unused code, implements a perform iterate operation, and applies Copilot-suggested improvements.

Demonstrates using a custom coding standard YAML file to guide GitHub Copilot code reviews in Python, enforcing naming conventions and meaningful variable names.

Learn to create and print lists in Python with GitHub Copilot, including strings, numbers, mixed types, nested and empty lists, and list constructors and basic operations.

Master Python flow control by learning if, elif, and else statements with simple examples, and preview for loops and while loops, including GitHub Copilot's code assistance.

Learn to use Python's for loop to iterate over lists, tuples, strings, and other iterables, executing a block of code for each item, including range-based and reverse-order iterations.

Explore how the Python while loop repeats a code block while a condition remains true, with examples on counting, password prompts, and infinite loops until exit.