What is Jupyter Notebook?
Turkish: Jupyter Notebook
Jupyter Notebook is an interactive development environment that combines code, text, and visualizations — widely used for data science and research.
What is Jupyter Notebook?
Jupyter Notebook is an interactive workspace that combines code cells, explanatory text, tables, charts, and outputs in one document. Analysts and researchers use it to test hypotheses, explore datasets, and explain results step by step.
Each notebook cell can be executed separately. A Python kernel runs the code and returns tables, charts, text, or error messages, while Markdown cells document assumptions, methods, and interpretation next to the code. This makes notebooks excellent for exploration, but out-of-order execution can make results hard to reproduce.
Where It Is Used
- Initial exploration of CSV, Excel, or database exports
- Machine learning experiments, feature extraction, and model comparison
- Narrative charts and tables for management reports
- Training material, workshops, and technical analysis notes
Jupyter is usually an analysis and prototyping tool rather than the production system itself. Data jobs that must run repeatedly should move notebook code into modules, tests, and pipelines. It is commonly paired with Python, pandas for tabular work, and machine learning workflows.