Tutorial: Advanced Jupyter Notebooks
you’re doing data science in Python, notebooks are a powerful tool. This free Jupyter Notebooks tutorial has will help you get the best out of Jupyter.
DigitalOcean and Docker for Data Science
Creating a cloud-based data science environment for faster analysis There are times when working on data science problems with your local machine just doesn’t cut it anymore. Maybe your computer is old, and can’t work with larger datasets. Or maybe you want to be able to access your work from anywhere, and collaborate with others. […]
Tutorial: Running a Dockerized Jupyter Server for Data Science
Editor’s note: This post was updated in May 2018. At Dataquest, we provide an easy to use environment to start learning data science. This environment comes preconfigured with the latest version of Python, well known data science libraries, and a runnable code editor. It allows brand new data scientists, and experienced ones, to start running […]
Tutorial: Installing and Integrating PySpark with Jupyter Notebook
At Dataquest, we’ve released an interactive course on Spark, with a focus on PySpark. We explore the fundamentals of Map-Reduce and how to utilize PySpark to clean, transform, and munge data. In this post, we’ll dive into how to install PySpark locally on your own computer and how to integrate it into the Jupyter Notebbok […]