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# Django
django

# Configuration
dj-database-url
python-decouple
whitenoise

# Django 3rd party modules
djangorestframework

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# virtual environments
venv

# Python files
*.pyc
__pycache__

# Python Notebook dot files
.ipynb*

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###Redux Egghead Video Notes###

####Introduction:#### Managing state in an application is critical, and is often done haphazardly. Redux provides a state container for JavaScript applications that will help your applications behave consistently.

Redux is an evolution of the ideas presented by Facebook's Flux, avoiding the complexity found in Flux by looking to how applications are built with the Elm language.

####1st principle of Redux:#### Everything that changes in your application including the data and ui options is contained in a single object called the state tree

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from django import http

try:
    from django.conf import settings
    XS_SHARING_ALLOWED_ORIGINS = settings.XS_SHARING_ALLOWED_ORIGINS
    XS_SHARING_ALLOWED_METHODS = settings.XS_SHARING_ALLOWED_METHODS
    XS_SHARING_ALLOWED_HEADERS = settings.XS_SHARING_ALLOWED_HEADERS
    XS_SHARING_ALLOWED_CREDENTIALS = settings.XS_SHARING_ALLOWED_CREDENTIALS
except AttributeError:
    XS_SHARING_ALLOWED_ORIGINS = '*'

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1

You will get one of these:

Uncaught (in promise) TypeError: Cannot read property 'toUpperCase' of undefined(…)

ReactCompositeComponent.js:870 Uncaught TypeError: Cannot read property 'displayName' of undefined

if you try to:

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Guide for setting up Apache Spark on MacOSX

Just for me to remember the steps needed

Download Apache Spark

http://spark.apache.org/downloads.html

Add enviornment variables to bash_profile

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What is the appeal of dynamically-typed languages?

Kris Nuttycombe asks:

I genuinely wish I understood the appeal of unityped languages better. Can someone who really knows both well-typed and unityped explain?

I think the terms well-typed and unityped are a bit of question-begging here (you might as well say good-typed versus bad-typed), so instead I will say statically-typed and dynamically-typed.

I'm going to approach this article using Scala to stand-in for static typing and Python for dynamic typing. I feel like I am credibly proficient both languages: I don't currently write a lot of Python, but I still have affection for the language, and have probably written hundreds of thousands of lines of Python code over the years.

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1. Download Instant Client:

• instantclient-basic-macos.x64-11.2.0.4.0.zip
• instantclient-sdk-macos.x64-11.2.0.4.0.zip
• instantclient-sqlplus-macos.x64-11.2.0.4.0.zip

2. Unzip and move to /opt

3. Create symlink

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References:

• https://github.com/kubo/fix_oralib_osx
• https://gist.github.com/thom-nic/6011715
• oracle/node-oracledb#149 (comment)

This was tested on El Capitan 10.11.4 (15E65) with python 2.7, which was installed via pyenv.

Download the sdk and client from Oracle. This guide uses 11.2.0.4.0

• instantclient-basic-$VERSION-macosx-x64.zip
• instantclient-sdk-$VERSION-macosx-x64.zip

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def set_up_dag_run(context, dag_run_obj):
    dag_run_obj.payload = {"config": context["config"]}
    dag_run_obj.run_id = str(uuid4())
    print context
    return dag_run_obj
    
def launch_workflow_command(args):

    config_location = args.config_location
    analysis_id = args.analysis_id