#388: Python 3.11 is here and it's fast

#388: Python 3.11 is here and it's fast

Python 3.11 is here! Keeping with the annual release cycle, the Python core devs have released the latest version of Python. And this one is a big one. It has more friendly error messages and is massively faster than 3.10 (between 10 to 60% faster) which is a big deal for a year over year release of a 30 year old platform. On this episode, we have Irit Katriel, Pablo Galindo Salgado, Mark Shannon, and Brandt Bucher all of whom participated in releasing Python this week on the show to tell us about that process and some of the highlight features.

Episoder(519)

#264: 10 tips every Flask developer should know

#264: 10 tips every Flask developer should know

Are you a web developer who uses Flask? It has become the most popular Python web framework. Even if you have used it for years, I bet we cover at least one thing that will surprise you and make your Flask code better.

12 Mai 20201h 8min

#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 Mai 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 Mai 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 Apr 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 Apr 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 Apr 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 Apr 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 Mar 202052min

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