Python reads friendly on the page, which makes weak hires look stronger than they are. A short take-home or pairing session tells the truth quickly.
Hire juniors who can write code other people can run, test, and fix—not people who only know syntax.
1. Readable modules, not one giant script
They split files with clear names, avoid clever one-liners that confuse the team, and reach for the standard library before importing half of PyPI. PEP 8 awareness helps even if you do not treat it like religion.
2. Virtual environments and honest installs
They can explain venv (or an equivalent), freeze or pin dependencies when it matters, and reproduce a clean setup on a fresh machine. “It worked because I had packages globally” is a red flag.
3. pytest habits
Look for pytest (or unittest with discipline): fixtures, one assertion idea per test, and tests that fail for the right reason. Clicking through Jupyter cells is not the same skill as maintaining a service.
4. Sharp debugging with tracebacks
They read exceptions bottom-up, reproduce the failure, and tighten the repro. If they paste stack traces into chat without reading them, you will pay for it in incident hours.
5. Packaging and structure at junior scale
They understand __init__.py when you use package layout, relative imports without circular traps, and a minimal pyproject.toml or requirements story. Match this to how your repo actually ships.
Screen fairly and compare apples to apples
Use the same tasks and grading criteria for every candidate. The U.S. Equal Employment Opportunity Commission reminds small employers to apply consistent standards to applicants for the same role (EEOC hiring guidance).
Canvider CriteriaMatch applies your Python must-haves at scale. InterviewGen turns resume gaps into role-specific follow-ups so interviews stay focused.
Next step: Explore CriteriaMatch, Explore InterviewGen, then get started free.