Python — Demand & Depth Analysis

What the data shows for Python:

• •Required in 1.7% of all scored postings — demand is growing as more employers add it to requirements
• •Employers typically expect L1 depth — foundational knowledge with practical application
• •Most demand comes from Data Science / ML roles — 37% of all Python jobs
• •Median salary for roles requiring Python: $152K vs $130K for roles that don't — a $19K difference

What L1 means in practice:

L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.

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 51.9% 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 37% of demand. Data Analysis and Software Engineering also frequently list Python as a requirement. Skills commonly paired with Python include SQL and Data Analysis.