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Resources/landing-page-introductions/research-environment-2.php

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<p>The Research Environment is a <a rel="nofollow" target="_blank" href="https://jupyter-notebook.readthedocs.io/en/stable/notebook.html">Jupyter notebook</a>-based, interactive commandline environment where you can access <?=$localPlatform ? "your local data or our cloud data":"our data"?> through the <code>QuantBook</code> class. The environment supports both Python and C#. If you use Python, you can import code from the code files in your project into the Research Environment to aid development.</p>
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<p>The Research Environment is a <a rel="nofollow" target="_blank" href="https://jupyter-notebook.readthedocs.io/en/stable/notebook.html">Jupyter notebook</a>-based, interactive commandline environment where you can access <?=$localPlatform ? "your local data or our cloud data":"our data"?> through the <code>QuantBook</code> class. The environment supports both Python and C#. If you use Python, you can <a href='/docs/v2/research-environment/key-concepts/research-engine#05-Import-Project-Code'>import code from the code files in your project into the Research Environment</a> to aid development.</p>
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<p>Before you run backtests, we recommend testing your hypothesis in the Research Environment. It's easier to perform data analysis and <a href="/docs/v2/research-environment/charting">produce plots in the Research Environment</a> than in a backtest.</p>
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