#373: Reinventing Azure's Python CLI
Talk Python To Me12 Heinä 2022

#373: Reinventing Azure's Python CLI

Deploying and managing your application after you create it can be a big challenge. Cloud platforms such as Azure have literally hundreds of services. Which ones should you choose? How do you link them together? In this episode, Anthony Shaw and Shayne Boyer share a new CLI tool and template they've created for jump starting you use of modern Python apps and deploying them to Azure. We're talking FastAPI, Beanie and MongoDB, async and await, Bicep DevOps, automated CI/CD pipelines and more. Plus we catch up on other Python work happening that Anthony is involved with. If you're interested in deploying or structuring modern Python apps, you'll find some interesting take aways from our conversation.

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#263: SEO for developers

#263: SEO for developers

As developers and technologists, it's easy to think that powerful and unique ideas will percolate to the top. If we build something amazing, enthusiastic users will find and share our creations.

6 Touko 20201h 2min

#262: Build a career in data science

#262: Build a career in data science

Has anyone told you that you should get into data science? Have you heard it's a great career? In fact, data scientist is the best job in America according to Glassdoor's 2018 rankings.

1 Touko 20201h 11min

#261: Monitoring and auditing machine learning

#261: Monitoring and auditing machine learning

Traditionally, when we have depended upon software to make a decision with real-world implications, that software was deterministic. It had some inputs, a few if statements, and we could point to the exact line of code where the decision was made. And the same inputs lead to the same decisions.

25 Huhti 20201h

#260: From basic script to interactive data sci app with Streamlit

#260: From basic script to interactive data sci app with Streamlit

If you work on the data science or data visualization side of Python, you may have come to it from a scripting side of things. Writing just a little Python, using its magical libraries, with little structure or formalism to build a powerful analysis tool that runs in the terminal or maybe a jupyter notebook. What if you could take that same code, sprinkle in just a bit of a simple API, and turn it into a fast and dynamic single page application allowing your users to dive into the visualizations on the web?

18 Huhti 202059min

#259: From Academia to Tech Industry and Python

#259: From Academia to Tech Industry and Python

Did you come to Python from the academic side of the world? Maybe got into working with code for research or lab work and found you liked coding more than your first field of study. Whatever the reason, many people make the transition from the academic world over to tech and industry.

9 Huhti 20201h

#258: Thriving in a remote developer environment

#258: Thriving in a remote developer environment

If you are listening to this episode when it came out, April 4th, 2020, there's a good chance you are listening at home, or on a walk. But it's probably not while commuting to an office as much of the world is practicing social distancing and working from home.

4 Huhti 20201h 7min

#257: Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy

#257: Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy

With radio astronomy, we can look across many light-years of distance and see incredible details such as the chemical makeup of a given region. Kevin Vinsen and Rodrigo Tobar from ICRAR are using the world's fastest supercomputer along with some sweet Python to process the equivalent of 1,600 hours of standard- definition YouTube video per second.

28 Maalis 202052min

#256: Click to run your notebook with Binder

#256: Click to run your notebook with Binder

Have you come across a GitHub repo with a Jupyter notebook that has a "Run in Binder" button? It seems magical. How does it know what dependencies and external libraries you might need? Where does it run anyway?

20 Maalis 202057min

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