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Talk Python To Me

Author: Michael Kennedy (@mkennedy)

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Talk Python to Me is a weekly podcast hosted by developer and
entrepreneur Michael Kennedy. We dive deep into the popular packages
and software developers, data scientists, and incredible hobbyists doing
amazing things with Python. If you're new to Python, you'll quickly learn
the ins and outs of the community by hearing from the leaders. And if
you've been Pythoning for years, you'll learn about
your favorite packages and the hot new ones coming out of open source.
305 Episodes
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The relatively recent introduction of async and await as keywords in Python have spawned a whole area of high performance, highly scalable frameworks and supporting libraries. One such library that has great async building blocks is Omnilib.
If you are involved in science or use computational tools in your work, you should be using code to solve your problem. On this episode, we have Dr. Becky Smethurst who's an astrophysicist at Oxford University. She uses Python to explore galaxies and black holes.
I'm sure you're familiar with data science. But what about data engineering? Are these the same or how are they related?
Have you been learning Django and now want to get your site online? Not sure the best way to host it or the trade offs between the various options? Maybe you want to make sure your Django site is secure. On this episode, I'm joined by two Django experts Will Vincent and Carlton Gibson to talk about deploying and running Django in production along with recent updates in Django 3.2 and beyond.
You've heard that software developers and startups go hand-in-hand. But what about data scientists? Of course they! But how do you turn your data science skill set into a data science _business_ skill set? What are some of the areas ripe for launching such a business into?
In this episode, we'll be discussing two powerful tools for data reporting and exploration: Datasette and Dogsheep. Datasette helps people take data of any shape or size, analyze and explore it, and publish it as an interactive website and accompanying API. Dogsheep is a collection of tools for personal analytics using SQLite and Datasette. Imagine a unified search engine for everything personal in your life such as twitter, photos, google docs, todoist, goodreads, and more, all in once place and outside of cloud companies. On this episode we talk with Simon Willison who created both of these projects. He's also one of the co-creators of Django and we'll discuss some early Django history!
Are you building or running an internal machine learning team? How about looking for a new ML position? On this episode, I talk with Chip Huyen from Snorkel AI about building ML teams, finding ML positions, and teach ML at Stanford.
2020 will be one for the history books, won't it? I've put together a great group to look back on 2020 - from the Python perspective.
#296 Python in F1 racing

#296 Python in F1 racing

2020-12-2301:05:141

Quick: Name the 3 most advanced engineering organizations you can think of? Maybe an aerospace company such as SpaceX or Boeing come to mind. Maybe you thought of CERN and the LHC. But in terms of bespoke engineering capabilities, you should certainly put the F1 racing teams on your list.
#295 GIS + Python

#295 GIS + Python

2020-12-1857:002

Geography is the study of places and the relationships between people and their environments. Often we think of maps, but maps are static. GIS gets interesting when you realize that we're studying and visualizing data flowing through these locations and communities.
When we think about accounts and security, we often think about identity (logging in and proving who you are). But for many applications, especially internal apps at large organizations, that's just step one. The next step is what can you do and what can you not do.
As software developers, we live in a world of uncertainty and flux. Do you need to build a new web app? Well maybe using Django makes the most sense if you've been doing it for a long time. There is Flask, but it's more mix and match being a microframework. But you've also heard that async and await are game changers and FastAPI might be the right choice.
So you're excited about that next app you're about to build. You can visualize the APIs with the smooth scalability taking to the mobile apps. You can see how, finally, this time, you'll get deployment right and it'll be pure continuous delivery out of GitHub with zero downtime.
Do you have a scientific system that needs optimization or solving? Our guest, on this episode, Clark Petri is here to tell us all about pyomo. This is a library that can solve all sorts of cool problems, linear programming, nonlinear equations, and many other things you can throw at it.
Are you a data scientist looking to branch out on your own and start something new? Maybe you're just looking for a way to work with those exciting libraries that aren't yet in play at the day job. Rather than putting everything on the line, quitting your job, and hoping things work out, maybe you should start with a side-hustle.
When I saw the headline "Machine learning algorithm confirms 50 new exoplanets in historic first" I knew the Python angle of this story had to be told! And that's how this episode was born. Join David Armstrong and Jev Gamper as they tell us how they use Python and machine learning to discover not 1, but 50 new exoplanets in pre-existing Keplar satellite data.
Excel is one of the most used and most empowering piece of software out there. But that doesn't make it a good fit for every data processing need. And when you outgrow Excel, a really good option for a next step is Python and the data science tech stack: Pandas, Jupyter, and friends.
We know our unit tests should be relatively independent from other parts of the system. For example, running a test shouldn't generally call a credit card possessing API and talk to a database when your goal is just to test the argument validation.
NASA's Jet Propulsion Laboratory (JPL)'s primary function is the construction and operation of planetary robotic spacecraft, though it also conducts Earth- orbit and astronomy missions. It is also responsible for operating NASA's Deep Space Network.
If you're into data science, you've probably heard about Dask. It's a package that feels like familiar APIs such as Numpy, Pandas, and Scikit-Learn. Yet it can scale that computation across CPU cores on your local machine all the way to distributed grid-based computing in large clusters.
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Comments (28)

Homa

awesome!

Feb 24th
Reply

Magnus Lamont

Carlton's talk is on YouTube as "DjangoCon 2019 - Using Django as a Micro-Framework: Hacking on the HTTP handlers.. by Carlton Gibson" https://2019.djangocon.us/talks/using-django-as-a-micro-framework-on-the/ Couldn't find it in the show notes.

Feb 3rd
Reply

Kit Macleod

notes

Dec 31st
Reply

Pat Decker

Michael, At the end of each episode you could ask "Is it Gif or Jif?" Just for the fun of it.

Sep 9th
Reply

Carl Littlejohns

great podcast - testing your tests all night (without even being there) - some good coding discipline there for us noobs

Jun 20th
Reply

J Bit

great episode! I've been using Python on Windows for the past two years and I love it. I've never had any problems specific to Windows.

Dec 19th
Reply (1)

Hossein Fakhari

at the 53:12 what is the package name? pip install eo? eil?

Sep 16th
Reply

Dan Stromberg

Pyodide is undeniably cool. There's also a micropython port to wasm that might make sense for basic webapps.

May 18th
Reply

Antonio Andrade

ummm. But the mic sounds terrible hahah

Apr 22nd
Reply

Kelechi Emenike

you remind me of me! excellent Googler, master of science, business-related experience, passionate about teaching... the only thing I've not done like you is actually create my own course... you wanna take on a mentee? I'm game please ^--^

Apr 6th
Reply

Patryk Siewiera

I listen for a year, I fell like Michael Kennedy is my best friend, im so grateful for showing me that excitement and possibilities with this language, this is my new road in life. thanks so much 10/10

Mar 7th
Reply

ねじまきラジオ

Python勉強中の方は必聴!

Feb 16th
Reply

Ketan Ramteke

Stackoverflow users are really mean but I still love it, there is no better alternative to it and the meanness keeps bad contents at bay. So it's good to be mean I guess.

Dec 11th
Reply

Gino DAnimal

What ide does she use? audio choppy.

Nov 20th
Reply (1)

Naufal

Mantul gan

Oct 7th
Reply

Nihan Dip

A great episode, lot's of information to digest. Glad to know how one of the tools that i use daily actually works.

Sep 21st
Reply

GreatBahram

Gentle introduction to machine learning libraries in Python

Aug 2nd
Reply

Saul Cruz

this episode really motivated me to get started on online trainings...if you know something, learn it, and share it...

Jul 19th
Reply

GreatBahram

It is good for anyone who does not have any idea about CI.

Jul 8th
Reply

GreatBahram

if you wanna get familiarr with static site generator, this episode gonna help you a lot

Jun 15th
Reply
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