Creates interactive web visualizations
Project description
Dataspectra
^^^^^^^^^^^
A python package to create interactive web visualizations.
Requirements:
=============
- Python2.7
Installation
=============
.. code-block:: bash
$ pip install virtualenv
$ virtualenv ~/virtualenv/ds
$ source ~/virtualenv/ds/activate
$ pip install dataspectra
Running
=======
.. code-block:: bash
$ source ~/virtualenv/ds/activate
$ dataspectra
Authenticating
==============
- Need to allow for google cloud datastore authentication
Development of the web/app_engine
=================================
- In order to test new functions you will need Google Cloud SDK
- Test using dev_appserver.py --clear_datastore=yes app.yaml in the sample output.
- Once your code looks good. You can copy it to the source code in aefiles.
Development For Ryo
====================
- Problem with rapid updates, since you will have to continually copy files back and forth to the source directory.
- To fix this - you can create a symbolic link from the source directory to your output directory.
- Go to the symbolic link, and run dev_appserver.py
- Then you can quickly
dataspectra develop - will create new output files - and then copy those files to the original aefiles directory.
- For updating the documentation.
Make sure you're in virtualenv ds or dstest.
command-shift-R for preview.
- For developing the package
python setup.py develop
For uploading to pypi
python setup.py sdist upload
Installing Google Cloud SDK For Python
======================================
Step 1: Download the google-cloud-SDK
https://cloud.google.com/sdk/docs/
Step 2: Extract the package by double clicking the *.tar.gz file.
Step 3: Move the folder to your Desktop
Step 4: Type ~/Desktop/google-cloud-sdk/install.sh
- Keep on pressing enter.
Step 5: Click on Datastore.
- Activating datastore.
- Click on Create an Entity.
- Your first entity
- Choose the region where it is most likely to be.
- Wait.
Click on AppEngine
Activating budget.
Step 5: Authenticating:
https://cloud.google.com/docs/authentication/getting-started
Go to console.cloud.google.com
Click on the Menu at the top left.
Go to APIs & Services
Click on the Key in the left side bar.
Click on the "create service account key"
Put any name down.
- Then specify Role Owner
Click on create.
Move the file to your google-cloud-sdk folder.
Type in export GOOGLE_APPLICATION_CREDENTIALS="/..
#Authenticate your login
gcloud auth login
Step 2 ??? Necessary or for developers only. : Install using: gcloud components install app-engine-python
^^^^^^^^^^^
A python package to create interactive web visualizations.
Requirements:
=============
- Python2.7
Installation
=============
.. code-block:: bash
$ pip install virtualenv
$ virtualenv ~/virtualenv/ds
$ source ~/virtualenv/ds/activate
$ pip install dataspectra
Running
=======
.. code-block:: bash
$ source ~/virtualenv/ds/activate
$ dataspectra
Authenticating
==============
- Need to allow for google cloud datastore authentication
Development of the web/app_engine
=================================
- In order to test new functions you will need Google Cloud SDK
- Test using dev_appserver.py --clear_datastore=yes app.yaml in the sample output.
- Once your code looks good. You can copy it to the source code in aefiles.
Development For Ryo
====================
- Problem with rapid updates, since you will have to continually copy files back and forth to the source directory.
- To fix this - you can create a symbolic link from the source directory to your output directory.
- Go to the symbolic link, and run dev_appserver.py
- Then you can quickly
dataspectra develop - will create new output files - and then copy those files to the original aefiles directory.
- For updating the documentation.
Make sure you're in virtualenv ds or dstest.
command-shift-R for preview.
- For developing the package
python setup.py develop
For uploading to pypi
python setup.py sdist upload
Installing Google Cloud SDK For Python
======================================
Step 1: Download the google-cloud-SDK
https://cloud.google.com/sdk/docs/
Step 2: Extract the package by double clicking the *.tar.gz file.
Step 3: Move the folder to your Desktop
Step 4: Type ~/Desktop/google-cloud-sdk/install.sh
- Keep on pressing enter.
Step 5: Click on Datastore.
- Activating datastore.
- Click on Create an Entity.
- Your first entity
- Choose the region where it is most likely to be.
- Wait.
Click on AppEngine
Activating budget.
Step 5: Authenticating:
https://cloud.google.com/docs/authentication/getting-started
Go to console.cloud.google.com
Click on the Menu at the top left.
Go to APIs & Services
Click on the Key in the left side bar.
Click on the "create service account key"
Put any name down.
- Then specify Role Owner
Click on create.
Move the file to your google-cloud-sdk folder.
Type in export GOOGLE_APPLICATION_CREDENTIALS="/..
#Authenticate your login
gcloud auth login
Step 2 ??? Necessary or for developers only. : Install using: gcloud components install app-engine-python
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