One of the biggest, most time-consuming parts of data science is analysis and experimentation. One of the most popular tools to do so in a graphical, interactive environment is Jupyter.
Combining Jupyter with Apache Spark (through PySpark) merges two extremely powerful tools. AWS EMR lets you set up all of these tools with just a few clicks. In this tutorial I’ll walk through creating a cluster of machines running Spark with a Jupyter notebook sitting on top of it all.
Continue reading Jupyter Notebooks with PySpark on AWS EMR
I bought a few Amazon Dash Buttons as part of Prime Day. These are the cheaper $4.99 buttons, not the more expensive $19.99 AWS IoT Buttons. In this blog post I’ll walk through how to make these cheaper buttons do what the more expensive button does.
Continue reading Amazon Dash Button Hackery with Python
Jupyter Notebook extension for Apache Spark integration.
Includes a progress indicator for the current Notebook cell if it invokes a Spark job. Queries the Spark UI service on the backend to get the required Spark job information.
This is really neat. No more checking another tab for job progress when running cells in a notebook!
If you really want to get into the details of Python and learn about how the language was built and how some of its internals are implemented, Fluent Python is the book for you.
It’s a great book to refresh your knowledge of coroutines, asyncio, and other Python goodies.
You’ll definitely want to read this if you’re using AWS Kinesis with Apache Spark to stream data, it’s been extremely valuable:
If you’re just getting started with Flask or you want to learn about the innards of Django (yep, that’s right), “Flask Web Development” is the perfect place to start. This book dives right in with creating a full web application, including Jinja templates, authentication, building a REST API, forms, databases, security, and deployment to Heroku using Git. This book will get you up and running with Flask and then quickly go into detail on how to build a full web application.
However, in my opinion, Flask should be used for small applications, but this book goes into full detail about creating a half-Django for a full web application.
With that in mind, this book is great for learning about Django – how would you implement CSRF token checks? How would you set up database migrations from scratch? How would you handle forms? Django does all of that, but hides it all from developers. This book goes into full detail reimplementing a lot of what Django gives you out-of-the-box, which is great.
Overall I highly recommend “Flask Web Development” if you’re learning either Flask, Django, or just web-backend development in general. Don’t just use what Django gives you out of the box and ignore how it’s implemented. This book will answer questions like “Why does my Django app need a
SECRET_KEY? What is this CSRF error I keep seeing? How do database migrations work? How do I write my own mail handler?”, making you a better Django developer.
Get it here: http://a.co/73ERCK9
I like to start my projects using Flask and Python because it’s fast and quick for most things, yet lightweight.
By default, Flask doesn’t give you much in terms of test frameworks, application settings, deployment, or running the application in production. I always end up making a skeleton that does some of these things, so I decided to put together a GitHub repository with a skeleton Flask project that does it for me.
Have a look here: https://github.com/mikestaszel/flask_startup