CodeBlanks Logo Icon CodeBlanks
Login Register

Summary - Packaging

Combine pyproject.toml, venv and pip to write a packageable project.

Summary - Packaging

In this group you learned the core tools of Python packaging:

  • pyproject.toml: project identity and dependencies.
  • setuptools: the build tool via [build-system].
  • venv: an isolated virtual environment.
  • pip install -e .: editable install, sys.path.
  • requirements.txt: a frozen dependency list.

In the final task you will use all of them together: read pyproject content with tomllib and print the dependency count.

Practice Print the project name and the dependency count

Start with import tomllib. Convert the TOML string below into structured data with data = tomllib.loads(...):

[project]
name = "demo"
version = "0.1.0"
dependencies = ["requests>=2.28", "httpx==0.24"]

Then print the project name with print(data["project"]["name"]) and the dependency count with print(len(data["project"]["dependencies"])).

Starter code

main.py
# bring in the tomllib module
# load the TOML string as structured data
# print the project name
# print the dependency count

Sample solution

main.py
import tomllib

data = tomllib.loads('''
[project]
name = "demo"
version = "0.1.0"
dependencies = ["requests>=2.28", "httpx==0.24"]
''')

print(data["project"]["name"])
print(len(data["project"]["dependencies"]))

Expected output

demo
2

Questions and answers

Review the lesson questions together with their answers. To test yourself, solve the lesson interactively.

1 Match the packaging tools

Term Meaning
pyproject.toml Project identity
setuptools Build tool
venv Virtual environment
requirements.txt Dependency list

2 Which of the following is a valid table in pyproject.toml?

  • [python]
  • [project] Correct answer
  • [import]
  • [package]

Explanation: The [project] table holds the package identity.

All lessons in Advanced

1 Advanced decorators

  1. Parameterized decorator
  2. Class decorator
  3. functools
  4. functools.partial
  5. functools.reduce
  6. Summary - Advanced decorators

2 Type hints

  1. Basic hints
  2. Optional and Union
  3. typing.List and Dict
  4. Callable
  5. TypeVar
  6. Summary - Type hints

3 Pytest

  1. pytest basics
  2. assert
  3. fixture
  4. parametrize
  5. monkeypatch
  6. Summary - Pytest

4 Mocking

  1. unittest.mock
  2. patch
  3. MagicMock
  4. side_effect
  5. assert_called
  6. Summary - Mocking

5 Async basics

  1. async/await
  2. asyncio.run
  3. async def
  4. await asyncio.sleep
  5. create_task
  6. Summary - Async basics

6 Asyncio

  1. gather
  2. wait
  3. Queue
  4. Lock
  5. Semaphore
  6. Summary - Asyncio

7 HTTP and aiohttp

  1. urllib
  2. aiohttp.ClientSession
  3. async get
  4. async post
  5. JSON response
  6. Summary - HTTP and aiohttp

8 SQLAlchemy

  1. Engine
  2. Session
  3. Defining models
  4. Column and type
  5. Query
  6. Summary - SQLAlchemy

9 FastAPI

  1. FastAPI app
  2. @app.get
  3. Pydantic model
  4. Path parameter
  5. Query parameter
  6. Summary - FastAPI

10 Pydantic

  1. BaseModel
  2. Field
  3. validator
  4. Config
  5. parse_obj
  6. Summary - Pydantic

11 Design patterns

  1. Singleton
  2. Factory
  3. Strategy
  4. Observer
  5. Decorator
  6. Summary - Design patterns

12 Logging

  1. logging.getLogger
  2. Log levels
  3. basicConfig
  4. FileHandler
  5. dictConfig
  6. Summary - Logging

13 Packaging

  1. pyproject.toml
  2. setuptools
  3. Virtual environment
  4. pip install
  5. requirements.txt
  6. Summary - Packaging

14 Advanced final

  1. Project design
  2. Async layer
  3. SQLAlchemy layer
  4. FastAPI layer
  5. Putting it together