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        "description": "**Calysto Processing** is the merging of [ProcessingJS](http://processingjs.org/) with [Project Jupyter](http://jupyter.org/) (aka IPython). Processing Sketches are entered into Jupyter notebook cells, and even run in rendered notebooks. Sketches can be paused, and stepped one draw() at a time. \n\nBecause Calysto Processing uses [MetaKernel](https://github.com/Calysto/metakernel/blob/master/README.rst), it has a fully-supported set of \"magics\"---meta-commands for additional functionality. A list of magics can be seen at [MetaKernel Magics](https://github.com/Calysto/metakernel/blob/master/metakernel/magics/README.md).\n\nCalysto Processing in use:\n\n* [CS110: Introduction to Computing](http://jupyter.cs.brynmawr.edu/hub/dblank/public/CS110%20Intro%20to%20Computing/2015/Syllabus.ipynb)\n* [Video](https://www.youtube.com/watch?v=V4TzARh-ClY)\n\nYou can install Calysto Processing with:\n\n```\npip install --upgrade calysto-processing\n```\n\nor in the system kernels with:\n\n```\nsudo pip install --upgrade calysto-processing\n```\n\nNext, install Processing 2 from https://processing.org/download/\n\nYou will need to make sure that you have installed and access to the `processing_java` command. Mac users will need to install it from Processing by selecting 'Install \"processing_java\"' under the Tools menu.\n\nFinally, edit the installed `calysto_processing/kernel.js` to include the full path to the `processing_java` command. That might look like:\n\n```javascript\n{\n \"argv\": \n    [\"/usr/bin/python3\", \n     \"-m\", \"calysto_processing\", \n     \"-f\", \"{connection_file}\"], \n \"display_name\": \"Calysto Processing\", \n \"env\": {\"PROCESSING_JAVA\": \"/home/dblank/Desktop/processing-2.2.1/processing-java\"}, \n \"language\": \"java\", \n \"name\": \"calysto_processing\"\n}\n```\n\nUse it in the notebook with:\n\n```\nipython notebook\n```\n\nand then select `Calysto Processing` for a new notebook.\n\nCalysto Processing also has an enhancement: Tables, and some related functions:\n\n```java\n/* @pjs includeTable=\"true\"; */\n\nTable table;\n\nvoid setup() {\n    table = loadTable(\"test.csv\", \"header\");\n    println(table.getRowCount() + \" total rows in table\"); \n}\n\nlong findMax() {\n    int retval = 0;\n    for (TableRow row : table.rows()) {\n        int pop = row.getInt(\"Population\");\n        if (pop > retval)\n            retval = pop;\n    }\n    return retval;\n}\n```\n\nTable-related classes and methods:\n\n* loadTable(CSV_FILNAME, \"header\");\n* Table class\n* TableRow class\n* table.rows() - returns iterator for use with for(TableRow row : table.rows()) {...}\n* row.getInt(COLUMN_NAME)\n* row.getString(COLUMN_NAME)\n* row.getFloat(COLUMN_NAME)\n\nSee source for more details.\n\nExample notebooks can be found in https://github.com/Calysto/calysto_processing/tree/master/notebooks\n\nRequires:\n\n* ipython-3.0\n* Python2 or Python3\n* metakernel (installed with pip)\n* calysto (installed with pip)\n\nCalysto Processing supports:\n\n* MetaKernel Magics\n* All of ProcessingJS, plus pause/restart and stepper",
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