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Greetings! I hope your are well! ☀️ This is the June 2020 version of the monthly email with great data science resources from Jeff Hale.
If this message was forwarded to you, you can go ahead and subscribe at dataawesome.com - and give a thank you to the sender! 😀
Everything below is designed to help you sharpen your data skills and everything has a lot of awesome!
Let's get right to it! 🚀
Awesome articles 💻
Vicki Boykis is someone I suggested folks follow before. She writes great content on a wide range of topics. Her Getting machine learning to production was a great read this month. In it, she explains how she used Streamlit with Docker to deploy Venti, an NLP app.
I recently made several Python scripts to interact with the file system. For this project I decided to make the switch from os.path for most file manipulation to pathlib.Path. My switch to using pathlib.Path for most file interactions was greatly aided by the following three articles from some of my favorite high-quality sources:
Awesome visualization 🖼
The folks at Graphicacy worked with Johns Hopkins to make this interactive visualization of COVID-19 cases in the USA. The map quickly conveys a lot of information clearly. I appreciate how each state (and DC) was made the same size tile. The seven color gradations help you see where new cases are highest. Arizona, eek! 😱
Awesome books for learning data skills 📖
If you or someone you know is looking to learn data analysis and data science skills, I've got a deal for you. My Data Skills Book Bundle of 4 ebooks is available for a savings of over 60%! For $29 USD you get Memorable Python, Memorable Pandas, Memorable SQL, and Memorable Docker. You'll learn the foundations of Python programming, data manipulation with the pandas library, SQL with PostgreSQL, and how to use Docker containers. 🎉
Awesome keyboard shortcut ⌨️
In a Jupyter notebook or many text editors use Ctrl + / (command + / on a Mac) to add or remove single line comments (#) for selected lines of Python code. That's a forward slash, in case that was tricky to read. 😉 This is a tip I didn't learn until relatively recently and it's pretty awesome.
Awesome package/extension 📚
Reminder that you can find the most updated list of Python API wrappers here. Please make a pull request if you know of one that's missing! ❤️
Awesome people to follow 📣
Aerin Kim is a Senior Research Engineer at Microsoft. She has excellent Medium posts on statistical concepts. Fuzzy on the differences between Exponential, Gamma, and Beta distributions? Check out her fantastic explanations! 📊
What I've been working on 🛠
It's been a busy month! Here are a few resources I made that you might find useful:
I wrote an introduction to Streamlit, How to Make Your Machine Learning Models Come Alive with Streamlit. It's really cool and I expect to have more to say about it soon. 🚀
I'm learning how to be antiracist. 👍
I'm wearing a mask to prevent the spread of COVID-19. 😷