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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "1b1c50ef", | ||
"metadata": {}, | ||
"source": [ | ||
"# Python notebooks\n", | ||
" Industrial Statistics: A Computer Based Approach with Python<br>\n", | ||
"by Ron Kenett, Shelemyahu Zacks, Peter Gedeck\n", | ||
"\n", | ||
"Publisher: Springer International Publishing; 1st edition (August 5, 2023) <br>\n", | ||
"ISBN-13: 978-3-031-28481-6\n", | ||
"\n", | ||
"(c) 2022 Ron Kenett, Shelemyahu Zacks, Peter Gedeck\n", | ||
"\n", | ||
"The code needs to be executed in sequence.\n", | ||
"\n", | ||
"Python packages and Python itself change over time. This can cause warnings or errors. We\n", | ||
"\"Warnings\" are for information only and can usually be ignored. \n", | ||
"\"Errors\" will stop execution and need to be fixed in order to get results. \n", | ||
"\n", | ||
"If you come across an issue with the code, please follow these steps\n", | ||
"\n", | ||
"- Check the repository (https://gedeck.github.io/mistat-code-solutions/) to see if the code has been upgraded. This might solve the problem.\n", | ||
"- Check the errata at (https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/) and the issue tracker at https://github.com/gedeck/mistat-code-solutions/issues to see if the issue is known and a solution available.\n", | ||
"- Report the problem using the issue tracker at https://github.com/gedeck/mistat-code-solutions/issues\n", | ||
"- Paste the error message into Google and see if someone else already found a solution" | ||
] | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "view-in-github", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"<a href=\"https://colab.research.google.com/github/gedeck/mistat-code-solutions/blob/colab/IndustrialStatistics/notebooks/index.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "1b1c50ef", | ||
"metadata": { | ||
"id": "1b1c50ef" | ||
}, | ||
"source": [ | ||
"# Python notebooks\n", | ||
" Industrial Statistics: A Computer Based Approach with Python<br>\n", | ||
"by Ron Kenett, Shelemyahu Zacks, Peter Gedeck\n", | ||
"\n", | ||
"Publisher: Springer International Publishing; 1st edition (August 5, 2023) <br>\n", | ||
"ISBN-13: 978-3-031-28481-6\n", | ||
"\n", | ||
"(c) 2022 Ron Kenett, Shelemyahu Zacks, Peter Gedeck\n", | ||
"\n", | ||
"The code needs to be executed in sequence.\n", | ||
"\n", | ||
"Python packages and Python itself change over time. This can cause warnings or errors. We\n", | ||
"\"Warnings\" are for information only and can usually be ignored.\n", | ||
"\"Errors\" will stop execution and need to be fixed in order to get results.\n", | ||
"\n", | ||
"If you come across an issue with the code, please follow these steps\n", | ||
"\n", | ||
"- Check the repository (https://gedeck.github.io/mistat-code-solutions/) to see if the code has been upgraded. This might solve the problem.\n", | ||
"- Check the errata at (https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/) and the issue tracker at https://github.com/gedeck/mistat-code-solutions/issues to see if the issue is known and a solution available.\n", | ||
"- Report the problem using the issue tracker at https://github.com/gedeck/mistat-code-solutions/issues\n", | ||
"- Paste the error message into Google and see if someone else already found a solution" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "2a84b1cb", | ||
"metadata": { | ||
"id": "2a84b1cb" | ||
}, | ||
"source": [ | ||
"- [Chapter 1](Chap001.ipynb)\n", | ||
"- [Chapter 2](Chap002.ipynb)\n", | ||
"- [Chapter 3](Chap003.ipynb)\n", | ||
"- [Chapter 4](Chap004.ipynb)\n", | ||
"- [Chapter 5](Chap005.ipynb)\n", | ||
"- [Chapter 6](Chap006.ipynb)\n", | ||
"- [Chapter 7](Chap007.ipynb)\n", | ||
"- [Chapter 8](Chap008.ipynb)\n", | ||
"- [Chapter 9](Chap009.ipynb)\n", | ||
"- [Chapter 10](Chap010.ipynb)\n", | ||
"- [Chapter 11](Chap011.ipynb)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "36a4ad20", | ||
"metadata": { | ||
"id": "36a4ad20" | ||
}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"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": "3.10.9" | ||
}, | ||
"colab": { | ||
"provenance": [], | ||
"include_colab_link": true | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "2a84b1cb", | ||
"metadata": {}, | ||
"source": [ | ||
"- [Chapter 1](Chap001.ipynb)\n", | ||
"- [Chapter 2](Chap002.ipynb)\n", | ||
"- [Chapter 3](Chap003.ipynb)\n", | ||
"- [Chapter 4](Chap004.ipynb)\n", | ||
"- [Chapter 5](Chap005.ipynb)\n", | ||
"- [Chapter 6](Chap006.ipynb)\n", | ||
"- [Chapter 7](Chap007.ipynb)\n", | ||
"- [Chapter 8](Chap008.ipynb)\n", | ||
"- [Chapter 9](Chap009.ipynb)\n", | ||
"- [Chapter 10](Chap010.ipynb)\n", | ||
"- [Chapter 11](Chap011.ipynb)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "36a4ad20", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"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": "3.10.9" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |