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Python Pytest Cheat Sheet

Python Pytest Cheat Sheet

Covers writing pytest test functions, fixtures with setup/teardown, parametrized tests, and the most useful command-line options.

1 PageIntermediateMar 28, 2026

Basic Test Functions

pytest discovers functions prefixed with test_.

python
# test_math.pydef add(a, b):    return a + bdef test_add():    assert add(2, 3) == 5def test_add_raises():    import pytest    with pytest.raises(TypeError):        add("2", 3)# Run with: pytest# Run one file: pytest test_math.py# Run one test: pytest test_math.py::test_add# Verbose: pytest -v

Fixtures

Reusable setup/teardown for tests.

python
import pytest@pytest.fixturedef sample_data():    return {"id": 1, "name": "Alice"}def test_name(sample_data):    assert sample_data["name"] == "Alice"@pytest.fixturedef db_connection():    conn = create_connection()    yield conn          # Provided to the test    conn.close()         # Teardown runs after the test@pytest.fixture(scope="session")def api_client():    return APIClient()   # Created once per test session

Parametrized Tests

Run the same test body against many inputs.

python
import pytest@pytest.mark.parametrize("a,b,expected", [    (2, 3, 5),    (0, 0, 0),    (-1, 1, 0),])def test_add_parametrized(a, b, expected):    assert add(a, b) == expected@pytest.mark.parametrize("value", [1, 2, 3])@pytest.mark.parametrize("multiplier", [10, 100])def test_stacked(value, multiplier):    assert value * multiplier > 0   # Stacked marks -> 6 combinations

CLI Options & Markers

Common flags for running and filtering tests.

  • pytest -k 'add'- Run only tests whose name matches a substring/expression
  • pytest -m slow- Run only tests marked with @pytest.mark.slow
  • pytest -x- Stop after the first failing test
  • pytest --lf- Re-run only the tests that failed last time
  • pytest -s- Show print() output (disable output capturing)
  • pytest --cov=myapp- Report test coverage (requires the pytest-cov plugin)
  • @pytest.mark.skip(reason=...)- Unconditionally skip a test
  • @pytest.mark.xfail- Mark a test as expected to fail

Monkeypatching & Mocking

Replace attributes, env vars, and objects for the duration of a test.

python
def test_env_var(monkeypatch):    monkeypatch.setenv("API_KEY", "test-key")    monkeypatch.delenv("UNSET_ME", raising=False)    assert os.environ["API_KEY"] == "test-key"def test_patch_function(monkeypatch):    def fake_get(url):        return {"status": 200}    monkeypatch.setattr("requests.get", fake_get)    assert fetch_status("http://x") == 200from unittest.mock import MagicMock, patchdef test_with_mock():    mock_client = MagicMock()    mock_client.fetch.return_value = {"id": 1}    assert mock_client.fetch()["id"] == 1    mock_client.fetch.assert_called_once()@patch("myapp.service.send_email")def test_notify(mock_send):    notify_user("[email protected]")    mock_send.assert_called_with("[email protected]")

tmp_path & File-Based Fixtures

Built-in fixtures for isolated filesystem testing.

python
def test_write_report(tmp_path):    out = tmp_path / "report.txt"    generate_report(out)    assert out.read_text() == "OK\n"def test_multiple_files(tmp_path_factory):    d = tmp_path_factory.mktemp("data")    (d / "a.csv").write_text("1,2\n")    assert (d / "a.csv").exists()def test_capture_output(capsys):    print("hello")    captured = capsys.readouterr()    assert captured.out == "hello\n"def test_logging(caplog):    import logging    logging.getLogger("app").warning("disk low")    assert "disk low" in caplog.text

Autouse Fixtures & Finalizers

Fixtures that run for every test automatically and register cleanup callbacks.

python
import pytest@pytest.fixture(autouse=True)def reset_singleton():    yield    Cache.instance = None   # Runs after every test in this scope, no opt-in needed@pytest.fixturedef temp_dir(request):    path = make_dir()    def cleanup():        remove_dir(path)    request.addfinalizer(cleanup)   # Alternative to yield-based teardown    return path@pytest.fixturedef service(request):    marker = request.node.get_closest_marker("slow")    timeout = 30 if marker else 5    return Service(timeout=timeout)   # Fixtures can inspect the requesting test's markers

Testing Async Code

pytest-asyncio adds support for coroutine test functions.

python
import pytest# pip install pytest-asyncio# pytest.ini: [pytest]\nasyncio_mode = auto@pytest.mark.asyncioasync def test_fetch():    result = await fetch_data("http://x")    assert result["status"] == "ok"@pytest.fixtureasync def async_client():    client = await create_client()    yield client    await client.close()async def test_with_async_fixture(async_client):    assert await async_client.ping()

Config & Built-in Fixtures

pytest.ini options and fixtures that ship with pytest itself.

  • pytest.ini [pytest] markers=- Registers custom markers so `--strict-markers` doesn't flag typos
  • addopts = -ra --strict-markers- Bakes default CLI flags into every pytest invocation
  • request fixture- Gives a fixture access to the requesting test's node, params, and markers
  • monkeypatch- Safely patches attrs/env/dict/sys.path, auto-reverted after the test
  • capsys / capfd- Captures stdout/stderr at the Python or file-descriptor level
  • caplog- Captures log records emitted via the logging module during a test
  • pytest.approx(x)- Compares floats with tolerance instead of exact equality
  • conftest.py- Auto-discovered, directory-scoped home for shared fixtures and hooks
Pro Tip

Put shared fixtures in a conftest.py file — pytest auto-discovers it without an import, making its fixtures available to every test in that directory and its subdirectories.

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Yes, the SkillVeris blog has over 500 articles covering AI and machine learning, programming, web development, DevOps, cloud, security, databases and career guidance. Articles are practical and answer-first, and many use the Learn Through Hobbies approach, teaching technical concepts through cricket, music, gaming or cooking analogies. Everything is free to read.
What is the SkillVeris tech glossary and how big is it?
The SkillVeris glossary is a free reference of roughly 2,000-plus technology terms, each with a clear plain-language definition. It spans AI, programming, web, DevOps, cloud, security and database vocabulary, so whenever a lesson, article or job description uses jargon you do not recognise, the glossary gives you a fast, reliable answer.
Are the developer cheat sheets on SkillVeris free to download?
The cheat sheets are completely free to use, like everything else on SkillVeris. Each sheet condenses a language or tool into its essential syntax, commands and patterns for quick reference while coding. They are designed for rapid lookup during real work, complementing the deeper explanations found in study notes and courses.
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Cheat sheets cover the platform's main domains, including programming languages, AI and ML tooling, web development, DevOps, cloud, security and databases, matching the topics of the 37 live courses. Each sheet lists related reading links and hashtags, so you can jump from a quick reference into fuller study notes or blog articles.
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Search the SkillVeris glossary, which holds around 2,000-plus terms with concise, plain-language definitions. Each entry gets to the point in its first sentence, then links to related reading like blog posts or study notes for deeper context. It is faster and more consistent than sifting through scattered search results.
Is the SkillVeris blog good for beginners learning to code?
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Can cheat sheets replace full courses for learning a language?
No, cheat sheets are references, not teaching tools; they assume you already understand the concepts and just need syntax or commands fast. To actually learn a language, take a structured SkillVeris course with its 24–40 lessons and assessments, then keep the cheat sheet beside you while practising in Code Lab.
How often are new blog articles published on SkillVeris?
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Does the glossary cover AI and machine learning terms?
Yes, AI and machine learning vocabulary is a major part of the roughly 2,000-plus term glossary, covering everything from foundational terms to modern concepts around LLMs, RAG and MLOps. Definitions are plain-language and answer-first, which helps when dense AI papers or course lessons throw unfamiliar jargon at you.
Are there cheat sheets for interview preparation?
Cheat sheets work well as interview-day refreshers because they compress syntax, commands and key concepts into scannable references. For dedicated preparation, combine them with the SkillVeris interview questions feature, which includes readiness scoring, plus study notes for depth. Reviewing a relevant cheat sheet just before an interview steadies recall under pressure.
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How is the SkillVeris glossary different from Wikipedia?
The glossary is purpose-built for learners: definitions are short, plain-language and answer-first, sized for a quick lookup mid-lesson rather than a deep encyclopedic read. Entries also cross-link to related SkillVeris study notes, blog posts and courses, so a definition becomes a doorway into structured learning instead of a dead end.
Do blog articles use the Learn Through Hobbies method?
Many blog articles teach technical topics through hobby analogies, a hallmark of the SkillVeris blog, so you will find articles explaining programming through cricket, machine learning through music, or system design through cooking. The analogy is the teaching device; the article still delivers the real technical concept underneath.
Where can I find quick programming references while coding?
Open the SkillVeris cheat sheets, which are built exactly for that moment: compact, scannable references for syntax, commands and common patterns across languages and tools. Keep the relevant sheet in a browser tab while you work in Code Lab or your own editor, and dip into the glossary for terminology.
Is there a glossary entry for terms I meet in job descriptions?
Very likely yes, with roughly 2,000-plus terms across AI, programming, web, DevOps, cloud, security and databases, the glossary covers most jargon that appears in tech job descriptions. Decoding a listing this way helps you judge role fit honestly and prepares you to discuss those terms in interviews.
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The blog serves Indian learners plus a worldwide audience. Content stays globally relevant while acknowledging realities that matter in India, such as free access being essential for students and freshers, and career guidance that connects naturally to the SkillVeris jobs portal, which aggregates roles across India, UK, USA, Germany and Remote.
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SkillVeris content grows in response to what learners need, so feedback is welcome through the platform's support channels. If a term is missing from the glossary or a topic deserves an article, telling the team helps prioritise it. Meanwhile, the AI Mentor can answer the question immediately, 24/7, at any depth.
Do cheat sheets and glossary entries link to deeper learning?
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What makes SkillVeris programming references trustworthy?
The references are written to strict internal quality standards, kept consistent with the platform's 37 live courses, and never padded with invented statistics or hype. Definitions and cheat sheets are reviewed against the same content contracts that govern courses, and the answer-first style makes any inaccuracy easy to spot and correct.
How do the blog, glossary and cheat sheets fit into my learning routine?
Use them as satellites around your main course: read blog articles for context and motivation, hit the glossary the instant jargon appears, and keep cheat sheets open while coding. Together with study notes, Code Lab and the 24/7 AI Mentor, they turn passive reading into a complete, free learning system.

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