What is Pandas?
Turkish: Pandas
Pandas is a Python library for data manipulation and analysis that makes it easy to work with tabular data using its DataFrame structure.
What Is Pandas?
Pandas is a data library in the Python ecosystem for reading, cleaning, transforming, and analyzing tabular data. Its central structure is the DataFrame, which lets developers work with Excel-like rows and columns in code.
It can read data from CSV, Excel, JSON, SQL queries, parquet files, and more. Analysts then filter rows, transform columns, group records, join datasets, handle dates, and clean missing values.
What Pandas Does
- DataFrame / Series: Core structures for tables and single columns
read_csv/read_excel: Fast file loadinggroupby: Aggregation and summaries by categorymerge/join: Combining datasets by key fields- Datetime operations: Parsing dates, period summaries, and time-series analysis
- Missing value handling: Finding, filling, or dropping empty values
Pandas is powerful for single-machine analysis. If the data no longer fits in memory or needs distributed processing, tools such as Polars, Dask, or Spark may be a better fit.
Business Use
Pandas is used to combine sales reports, clean accounting exports, normalize e-commerce product data, analyze campaign results, and prepare datasets before machine learning. It turns repetitive spreadsheet work into code that can be reviewed and rerun.
In Python-based data work, Pandas is often the first tool. In machine learning projects, it is frequently used for exploratory analysis before modeling.
Related Terms
Feature engineering transforms raw data into meaningful variables that machine learning models can learn from and act on.
Jupyter NotebookJupyter Notebook is an interactive development environment that combines code, text, and visualizations — widely used for data science and research.
Machine LearningMachine learning trains models on data patterns so software can make predictions, classifications, or decisions on new examples.
PythonPython is a readable general-purpose programming language widely used for web development, automation, data analysis, and artificial intelligence.