Pandas

Core Python library for data manipulation and analysis. Indispensable for Data Science work.

Proficiency: Expert · 4+ years

Daily operations

• DataFrame wrangling: merge, pivot, groupby, resample
• Time-series indexing and resampling
• Reading/writing CSV, Parquet, Excel, SQL
• Chained method style with pipe() for readable pipelines

Typically used alongside NumPy for numerical ops and matplotlib/seaborn for visualisation.

Related: Python, NumPy, Data Science