Python — Demand & Depth Analysis

What the data shows for Python:

• •Required in 2.6% of all scored postings — demand is growing as more employers add it to requirements
• •Employers typically expect L2 depth — foundational knowledge with practical application
• •Most demand comes from Data Science / ML roles — 38% of all Python jobs
• •Median salary for roles requiring Python: $157K vs $130K for roles that don't — a $25K difference

What L2 means in practice:

L2 (Basic) means you’ve built small things with Python — personal projects or bootcamp work. Employers accept this for junior roles.

This means employers aren't looking for someone who has used Python once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.

Common skill gaps:

The gap rate of 48.1% means most applicants lack Python at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.

Which roles need Python most:

Data Science / ML positions drive 38% of demand. Data Analysis and Software Engineering also frequently list Python as a requirement. Skills commonly paired with Python include SQL and Data Analysis.