pandas
Python's library for tabular data.
- 3.0%
- of core AI postings mention it
- 106
- postings
- 90
- companies
History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.
Where it is mentioned most
Each row divides by that role's postings in this edition, highest share first.
Postings in 7 role families mention pandas in this edition.
None of the 8 role families with a page of their own mentions pandas in one posting in five or more.
pandas is more concentrated in Data Scientist postings (17.9%) than across all core AI postings (3.0%): at least twice the overall share.
pandas is in Frameworks: a framework, LLM or domain signal. Read it together with the foundation and production skills that appear with it below.
How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.
- Data Scientist17.9%27 of 151 postings · at least twice overall
- 6 of 113 postings
- AI Researcher5.0%3 of 60 postings · Sample below the page threshold; not read
- AI Engineer3.3%57 of 1,741 postings
- 5 of 175 postings
- 5 of 321 postings
- 1 of 225 postings
Skills that appear with it
Each share divides by the postings that mention pandas: how many of them also mention each skill, grouped into three lenses.
Foundations and problem-solving
Categories: Languages, Machine learning, Data engineering, Databases, Methods and process
- Python99.1%Languages · 105 postings
- Machine Learning73.6%Machine learning · 78 postings
- Deep Learning54.7%Machine learning · 58 postings
- Data Analysis47.2%Data engineering · 50 postings
- SQL37.7%Languages · 40 postings
Production and delivery
Categories: DevOps, Cloud, Tools
- Git43.4%Tools · 46 postings
Framework, LLM and domain signals
Categories: Frameworks, LLM applications, Domain knowledge, Office software
- NumPy80.2%Frameworks · 85 postings
- PyTorch61.3%Frameworks · 65 postings
- TensorFlow53.8%Frameworks · 57 postings
- scikit-learn50.9%Frameworks · 54 postings
- LLM47.2%LLM applications · 50 postings
- RAG31.1%LLM applications · 33 postings
Industries and places
Share of this skill's postings.
- Software & Internet3230.2%
- Electronics & Hardware1817.0%
- Semiconductor1211.3%
- Finance & Insurance98.5%
- Professional Services65.7%
- Healthcare & Biotech65.7%
- Consulting & Marketing Services54.7%
- Manufacturing54.7%
- Telecom, Media & Digital Content54.7%
- Wholesale, Retail & E-commerce43.8%
- Construction & Real Estate32.8%
- Logistics & Transport10.9%
- Taipei5854.7%
- New Taipei1615.1%
- Hsinchu City87.5%
- Taichung76.6%
- Hsinchu County43.8%
- Kaohsiung43.8%
- Tainan21.9%
- Miaoli21.9%
- Hualien10.9%
- Yunlin10.9%
- Taoyuan10.9%
- Pingtung10.9%
Where this number is read from
Of the 106 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.
- Employer's skill tags0
- Job title0
- Job description106