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What tech skills are employers looking for in data scientists? In this article I present analysis that answers that question. → Read More
Data Engineer is the fastest growing job title according to a 2019 analysis. Data engineers play a vital role for organizations by creating and maintaining pipelines and databases for injesting… → Read More
If you’re still using Matplotlib to make data visualizations in Python, it’s time to check out the view from an interactive visualization library. After several starts up the trail, I’ve found the… → Read More
In September 2018, I compared all the major deep learning frameworks in terms of demand, usage, and popularity in this article. TensorFlow was the undisputed heavyweight champion of deep learning… → Read More
Google has two products that let you use GPUs in the cloud for free: Colab and Kaggle. They are pretty awesome if you’re into deep learning and AI. The goal of this article is to help you better… → Read More
This article is a gentle introduction to Bash commands. Knowing how to move around the command line is an essential skill to save you time. We’ll hit 21 of the most common commands and their key… → Read More
In this guide we’ll walk through adding tests and integrations to speed development and improve code quality and consistency. If don’t have a basic working Python package, check out my guide to… → Read More
Manipulate Files and Folders in Your Python Programs with os and shutil → Read More
In this article we’ll look at 15 Docker CLI commands you should know. If you haven’t yet, check out the rest of this series on Docker concepts, the ecosystem, Dockerfiles, and keeping your images… → Read More
If you plan to be a software developer with Python, you’ll want to be able to use argparse for your scripting needs. If you’re a data scientist, you’ll likely find yourself needing to port your code… → Read More
Open source computing is hugely important to software development. It is the model that everyone benefits from. The open source foundations that support this development play a crucial role. However… → Read More
This article is all about Dockerfiles. It’s the third installment in a six-part series on Docker. If you haven’t read Part 1, read it first and see Docker container concepts in a whole new light. 💡… → Read More
Containers are hugely helpful for improving security, reproducibility, and scalability in software development and data science. Their rise is one of the most important trends in technology today… → Read More
Where to train deep learning models online for the lowest cost and least hassle. I tested and compared AWS, Google, Paperspace, and other GPU providers. → Read More
Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. Within those areas there are dozens of… → Read More
Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. Just five years ago, none of the leaders other than Theano were even around. I wanted… → Read More