This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project 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.

Because 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)

Calysto Processing in use:

* [CS110: Introduction to Computing](http://jupyter.cs.brynmawr.edu/hub/dblank/public/CS110%20Intro%20to%20Computing/2015/Syllabus.ipynb)
* [Video](https://www.youtube.com/watch?v=V4TzARh-ClY)

You can install Calysto Processing with:

```
pip install --upgrade calysto-processing
```

or in the system kernels with:

```
sudo pip install --upgrade calysto-processing
```

Next, install Processing 2 from https://processing.org/download/

Edit the install calysto_processing/kernel.js to point `processing_java`.

Use it in the notebook with:

```
ipython notebook
```

and then select `Calysto Processing` for a new notebook.

Calysto Processing also has an enhancement: Tables, and some related functions:

```java
import processing.table.*;

Table table;

void setup() {
table = loadTable("test.csv", "header");
println(table.getRowCount() + " total rows in table");
}

long findMax() {
int retval = 0;
for (TableRow row : table.rows()) {
pop = row.getInt("Population");
if (pop > retval)
retval = pop;
}
return retval;
}
```

Table-related classes and methods:

* loadTable(CSV_FILNAME, "header");
* Table class
* TableRow class
* table.rows() - returns iterator for use with for(TableRow row : table.rows()) {...}
* row.getInt(COLUMN_NAME)
* row.getString(COLUMN_NAME)
* row.getFloat(COLUMN_NAME)

See source for more details.

Requires:

* ipython-3.0
* Python2 or Python3
* metakernel (installed with pip)
* calysto (installed with pip)

Calysto Processing supports:

* MetaKernel Magics
* All of ProcessingJS, plus pause/restart and stepper
Release History

Release History

2.0.2

This version

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2.0.1

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2.0.0

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0.8.2

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0.7.0

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Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
calysto_processing-2.0.2.tar.gz (12.7 kB) Copy SHA256 Checksum SHA256 Source Sep 23, 2015
calysto_processing-2.0.2.zip (14.2 kB) Copy SHA256 Checksum SHA256 Source Sep 23, 2015

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