{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# signac - Tutorial and Examples\n", "\n", "This collection of Jupyter notebooks serves as a tutorial on how to implement a basic computational workflow using the [**signac**](https://signac.io/) data management framework.\n", "\n", "## Workflow Examples\n", "\n", "The sections within this chapter introduce the **signac** framework and demonstrate how to implement a simple, but complete computational workflow.\n", "\n", "* [1.1 Getting Started](signac_101_Getting_Started.ipynb)\n", "* [1.2 Exploring Data](signac_102_Exploring_Data.ipynb)\n", "* [1.3 A Basic Workflow](signac_103_A_Basic_Workflow.ipynb)\n", "* [1.4 Modifying the Data Space](signac_104_Modifying_the_Data_Space.ipynb)\n", "* [1.5 signac-flow Ideal Gas Example](signac_105_signac-flow_Ideal_Gas_Example.ipynb)\n", "* [1.6 signac-flow HOOMD-blue Example](signac_106_signac-flow_HOOMD-blue_Example.ipynb)\n", "* [1.7 Integration with Sacred](signac_107_Integration_with_Sacred.ipynb)\n", "\n", "## Analysis Examples\n", "\n", "The examples below use **signac** to analyze data and demonstrate integrations with other software.\n", "\n", "* [2.2 Integration with pandas](signac_202_Integration_with_pandas.ipynb)\n", "\n", "## Aggregation Examples\n", "\n", "This set of examples demonstrates [aggregation](https://docs.signac.io/en/latest/aggregation.html).\n", "\n", "* [3.1 Aggregation Tutorial](signac_301_Aggregation_Tutorial.ipynb)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.0" } }, "nbformat": 4, "nbformat_minor": 4 }