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A hosted notebook editor for Python and data work, with SQL cells, collaboration, and interactive reports.

Mutate Python code and rerun its tests to find changes the suite fails to catch.

Check annotated Python code for type inconsistencies before running it.

Format Python files consistently from the command line or as a repeatable project check.

A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.

Build parameter-driven solid models with Python and retain their construction

Build composable Python command-line interfaces from decorated functions.

Choose Python research and backtesting engines for the task

Work with multidimensional arrays and vectorized numerical operations in Python.

Combine network benchmarks into repeatable experiments

Editable notes with live scientific calculations

Plot equations and coordinate data in two or three dimensions

Build machine learning apps in Python

Choose scientific colour maps to match the structure of your data.

Python articles, tutorials and community news

A written Python route from setup to practical topics

Calculate returns, portfolio statistics and allocation weights in Python

Build Python web applications by pairing a small request-and-route core with the extensions your project needs.

Maintain event-driven Python backtests with the Zipline research model

Develop Python strategies with graphical backtesting and market gateways

Assemble portfolio backtests from reusable Python rules

Connect financial data providers to Python and research applications

Composes Python components into retrieval, search, and agent pipelines for AI applications.

Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.