From a Jupyter Notebook to a Docker Container
Containers are a standardized unit of software that allows developers to isolate their app from its environment, solving …
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Deploying a Data Science Platform on AWS: Running an experiment (Part II)
In our previous post, we saw how to configure AWS Batch and tested our infrastructure by executing a task that spinned …
Tools for Creating Reports from Jupyter Notebooks
Jupyter Notebook is a powerful interactive tool for data analytics, but it has its limitations. For example, if you need …
Most Used Data Science Tools for Modeling
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and …
Deploying a Data Science Platform on AWS: Setting Up AWS Batch (Part I)
In this series of tutorials, we’ll show you how to deploy a Data Science platform with AWS and open-source …
Tips and Tricks to Make More Use of Python Pandas
A substantial amount of time in a data science project or creating data-based product is spent on getting the data ready …