These are the files that accompany the Vidya video tutorial Starting with Data on accessing and visualizing data on the web.
VidyaSource_starting-with-data
VidyaSource
Overview
Abstract
# Vidya Tutorial: Starting with Data
## Description
These are the files that accompany the [Vidya](http://www.vidyasource.com) video tutorial
[Starting with Data](https://www.youtube.com/watch?v=bzl4hCH2CdY) on accessing and visualizing
data on the web.
## Intended Audience
Beginners in software development who want to learn just enough to access data on the web and visualize it on their own
websites or mobile device applications.
## Instructions
First, see if you have Python installed on your machine by opening up a terminal and typing *python*. If you see a prompt
that looks like >>> then you are set. Otherwise, [download and install Python](http://www.python.org/getit/).
Once you have Python running, download the files and navigate to the top level in your terminal. Just type
`python services.py`
and navigate to *http://127.0.0.1:5000/* in your browser. If you see "Everything is running!," then you're running the
simple REST application described in the tutorial.
To see the map, navigate to *http://127.0.0.1:5000/static/map.html.* Note that the map will likely look different from the one in the tutorial because the high poverty projects managed by Donors Choose are changing all the time.
Follow along with the tutorial [video](https://www.youtube.com/watch?v=bzl4hCH2CdY),
or play with the HTML, SVG, Python, or D3 code yourself in your favorite editor to see what happens.
## Questions?
If you have questions, please check out the Vidya [website](http://www.vidyasource.com) or [E-mail](mailto:info@vidyasource.com) us.
Or you can find us pretty much everywhere:
* [Facebook](https://www.facebook.com/VidyaSource)
* [Twitter](https://twitter.com/VidyaSource)
* [YouTube](https://www.youtube.com/channel/UC24LVc8Bb65SF6LW-SLog9A)
* [LinkedIn](http://www.linkedin.com/company/3285099?trk=prof-exp-company-name)
* [Google+](https://plus.google.com/+Vidyasource)
We would even do Pintrest if we thought it would help.
## Description
These are the files that accompany the [Vidya](http://www.vidyasource.com) video tutorial
[Starting with Data](https://www.youtube.com/watch?v=bzl4hCH2CdY) on accessing and visualizing
data on the web.
## Intended Audience
Beginners in software development who want to learn just enough to access data on the web and visualize it on their own
websites or mobile device applications.
## Instructions
First, see if you have Python installed on your machine by opening up a terminal and typing *python*. If you see a prompt
that looks like >>> then you are set. Otherwise, [download and install Python](http://www.python.org/getit/).
Once you have Python running, download the files and navigate to the top level in your terminal. Just type
`python services.py`
and navigate to *http://127.0.0.1:5000/* in your browser. If you see "Everything is running!," then you're running the
simple REST application described in the tutorial.
To see the map, navigate to *http://127.0.0.1:5000/static/map.html.* Note that the map will likely look different from the one in the tutorial because the high poverty projects managed by Donors Choose are changing all the time.
Follow along with the tutorial [video](https://www.youtube.com/watch?v=bzl4hCH2CdY),
or play with the HTML, SVG, Python, or D3 code yourself in your favorite editor to see what happens.
## Questions?
If you have questions, please check out the Vidya [website](http://www.vidyasource.com) or [E-mail](mailto:info@vidyasource.com) us.
Or you can find us pretty much everywhere:
* [Facebook](https://www.facebook.com/VidyaSource)
* [Twitter](https://twitter.com/VidyaSource)
* [YouTube](https://www.youtube.com/channel/UC24LVc8Bb65SF6LW-SLog9A)
* [LinkedIn](http://www.linkedin.com/company/3285099?trk=prof-exp-company-name)
* [Google+](https://plus.google.com/+Vidyasource)
We would even do Pintrest if we thought it would help.
Authoring entity
| Agency Name | Role |
|---|---|
| VidyaSource | owner |
Language
English
Methods, software and scripts
Software
| Name | Libraries or packages used |
|---|---|
| Python |
json, urllib2, flask
|
| HTML |
License
| Name |
|---|
| The Unlicense |
Metadata production
Producers
| Name | Role |
|---|---|
| GitHub Bot | bot |
Date of Production
01 December 2019