Python virtual environments
Ship and explain the project virtualenv
Page 8 packages proved vs unproved evidence so another engineer can run, trust, or reject the isolated project venv with pinned pandas.
1Learn the idea
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Assemble the ship record
A shippable lab artifact includes: how to run it, the metric result (which python points inside .venv; importlib.metadata.version('pandas') matches pin), the failure you can still reproduce (pip installing into the system Python, or activating the wrong venv), the security gate for pip installing from an unpinned URL or committing .venv with credentials, and a rollback note. The user decision it supports remains: install project packages without mutating the global interpreter.
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Freeze the evidence
printf 'artifact: venv+pandas pin\nproved: isolated import\nunproved: CI matrix\nowner: platform\n'
Expected evidence: venv ship checklist. Store this beside the fixture version so scores remain meaningful after content changes in python-virtual-environments.
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Explain limits without apology
State operating limits for the project virtualenv in plain language: fixture size, offline vs live dependencies, and what would require a new eval set. Shipping python-virtual-environments is honest scoping, not maximal confidence language.
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Lab notebook: proved vs unproved
Fill this table in your notes for the project virtualenv:
- Proved on
project dir lab-env/ with requirements.txt containing pandas==2.2.2: … - Unproved beyond the fixture: …
- Metric that blocks release: which python points inside .venv; importlib.metadata.version('pandas') matches pin
- Failure still reproducible: pip installing into the system Python, or activating the wrong venv
- Security gate: pip installing from an unpinned URL or committing .venv with credentials
- Rollback: …
Ship the narrative only when the unproved list is honest. Reviewers trust narrow claims that support install project packages without mutating the global interpreter more than maximal language that collapses under the first production oddity.
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Worked judgment
Hand your ship note to a peer and ask them to recreate a proved/unproved ship note with rollback without watching you type. If they cannot, your evidence is still tribal knowledge. Tighten the run command and the metric line until a stranger can validate the project virtualenv against project dir lab-env/ with requirements.txt containing pandas==2.2.2.
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Why this stage matters for the project virtualenv
At the mastery and shipping stage for python-virtual-environments, the job is narrower than finishing a product demo. You are creating one progressive evidence piece about project dir lab-env/ with requirements.txt containing pandas==2.2.2 that later pages inherit without redefining success. Keep that fixture small enough to inspect by hand, keep outputs copy-pasteable as text, and refuse to narrate this baseline as if it were a production SLA: record global site-packages pandas version (or absence) before creating the venv.
For this page specifically, success looks like a proved/unproved ship note with rollback while still centering the user decision to install project packages without mutating the global interpreter. If you cannot point to a file, command, or assertion that proves that for the project virtualenv, stay on this page instead of advancing.
Go deeper
Before you start
Why this matters
List two things this chapter proved on the fixture and two things it did not prove about the project virtualenv. If you cannot name the gaps, you are not ready to ship the narrative—even if the code runs.
In the wild
See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.
Related lessons
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Page assessment
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