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Who is the host of Talk Python To Me?

Talk Python To Me is hosted by Michael Kennedy. The show is categorised under technology and has published 557 episodes.

How many episodes does Talk Python To Me have?

Talk Python To Me has published 557 episodes.

What topics does Talk Python To Me cover?

Talk Python To Me regularly covers technology. It sits in the technology category.

Is it hard to get booked on Talk Python To Me?

Talk Python To Me is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is Talk Python To Me currently accepting guest pitches?

Talk Python To Me hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are Talk Python To Me episodes?

Episodes of Talk Python To Me average 67 minutes, giving guests a long-form format with plenty of time to expand on their expertise.

What guest credentials does Talk Python To Me typically look for?

Our data rates Talk Python To Me's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

technology

Talk Python To Me

Hosted by Michael Kennedy · technology · EN-US · 557 episodes

Apple Podcasts Website

About this Podcast:

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.

Pitch Analysis

Required Pod Score for this show. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

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Verified email

Booking probability

38%

Guest openness

Selective

Verified email on file

80/100

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What is Talk Python To Me?

Talk Python To Me is a technology podcast hosted by Michael Kennedy, with 557 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

About the host

Michael Kennedy hosts Talk Python To Me, a technology show with 557 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

Episode #559
#559: 12 Things You Should (and Shouldn't) Do in AWS
Aug 19, 20261h 8m
Your site is down. It's 3am. Is it a bug, a bill, or a breach? You can't tell yet, and everyone is watching you find out. Matt Lea has spent fifteen years being the person companies call when an outage is costing them real money per hour, and his whole argument is that everything you'd want in that moment gets decided months earlier, on ordinary afternoons, when someone chose the convenient thing. We walk his top twelve dos and don'ts in AWS - infrastructure as code, IAM roles instead of access keys, private subnets, no wildcards, no public buckets - and I push on which of them actually matter if you're one person on a small VPS. Then we get to Cloud War Games, where Matt breaks things on purpose so your team's first real incident isn't their first incident. Let's get into it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Talk Python Courses Links from the show Guest Matt Lea : linkedin.com Talk Python Certificates : training.talkpython.fm/certificates Schematical : schematical.com CloudWarGames.com : cloudwargames.com Zero to Hero on AWS Security : www.oreilly.com Repo : github.com Custom Wheel Offset : customwheeloffset.com 2012 TechCrunch Disrupt Hackathon : techcrunch.com tech comics : schematical.com shhgit : github.com Zero Trust in 200ms: Implementing Identity-Per-Transaction : us.pycon.org Coolify : coolify.io returned to full GA Nov 2025 : aws.amazon.com Signed URLs/cookies : docs.aws.amazon.com Cloudflare : www.cloudflare.com Bunny Shield : bunny.net Cloud War Games One : www.youtube.com Cloud War Games Two : www.youtube.com LinkedIn : linkedin.com YouTube : youtube.com KnocKnoc : knocknoc.io Watch this episode on YouTube : youtube.com Episode #559 deep-dive : talkpython.fm/559 Episode transcripts : talkpython.fm Theme Song: Developer Rap Served in a Flask : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy
Listen Show Notes
Episode #558
#558: Hyper-Personal Software with Python
Aug 10, 20261h 2m
Every company has one. The little internal tool that Jane built back in 2021, and then Jane left. Nobody understands it, nobody will touch it. There are two unwritten rules around it: don't change it, it's working. And if you break it, you bought it. That's dark-matter enterprise software. For every app you can actually see, there are ten of these sitting in the shadows, frozen. Michael Booth thinks that just changed. He read my article on hyper-personal software and ran with it, writing about hyper-team software: small teams inside big companies finally building the tools that were never going to get built. We cover where this works, where it quietly goes wrong, and the guardrails that keep it from turning into a mess. Let's get into it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Python in Production Talk Python Courses Links from the show Guest Michael Booth : github.com Talk Python AI Integrations : talkpython.fm/blog From Hyper-Personal to Hyper-Team Software: Small Team-Built, AI-Assisted Tools Inside the Enterprise : www.databooth.com.au What hyper-personal software looks like (MK's article) : mkennedy.codes Databooth Site : www.databooth.com.au Wall Street just lost $285 billion because of 13 markdown files : martinalderson.com SaaSpocalypse is real but everyone is panicking about the wrong thing : www.reddit.com Warp Terminal : www.warp.dev Watch this episode on YouTube : youtube.com Episode #558 deep-dive : talkpython.fm/558 Episode transcripts : talkpython.fm Theme Song: Developer Rap Served in a Flask : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy
Listen Show Notes
Episode #557
#557: Security of everything at PyCon 2026
Aug 2, 20261h 8m
Security has always been the vegetables of software. Everyone agrees it matters, and somehow it never quite makes it onto the plate. At PyCon US this year, that changed. For the first time ever, security got its own dedicated, day-long track, one of just two at the whole conference, sitting right next to AI. And the room was packed to the back wall. On this episode, I'm joined by the three people at the center of it. Seth Larson, Security Developer in Residence at the Python Software Foundation and, very recently, a CPython core developer. Juanita Gomez, a PhD researcher at UC Santa Cruz in open source security, who co-chaired the track. And Mike Fiedler, PyPI's Safety and Security Engineer, one of the very few people paid full-time to keep the packages you install safe. We use the arc of the track's talks to take the temperature of Python security right now: supply chain attacks, dependency cooldowns, zero trust, SBOMs, and the push to bring Rust into CPython. And why not one of us thinks security is anywhere close to solved. Turns out that's the good news. It's why the room was full. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show Guests Juanita Gomez : linkedin.com Mike Fiedler : miketheman.dev Seth Michael Larson : sethmlarson.dev Trailblazing Python Security : us.pycon.org Everything Security at PyCon US 2026 (PSF blog) : pyfound.blogspot.com Dependency Cooldowns : cooldowns.dev Anatomy of a Phishing Campaign (Mike Fiedler) Recording : www.youtube.com FedRAMP : www.gsa.gov Zero Trust in 200ms: Implementing Identity-Per-Transaction with Python & Serverless-Tristan McKinnon : www.youtube.com Rust for CPython project : blog.python.org pre-PEP : discuss.python.org Rust for CPython: Making Python Safer and More Robust for Everyone - Emma Smith : www.youtube.com SBOMit : github.com Asleep at the Wheel: Getting your SBOMs to pay attention... - Sanchit Sahay, Abhishek Reddypalle : www.youtube.com Volatility : volatilityfoundation.org Post Incident Runtime SBOM Generation from Python Memory - Hala Ali : www.youtube.com zizmor : docs.zizmor.sh GitHub Actions security in Python packages (Andrew Nesbitt write-up) : nesbitt.io andrew/pycon: data & analysis for the GitHub Actions security talk : github.com GitHub Actions Security in Python Packages - Andrew Nesbitt : www.youtube.com gh-profiler: examine a GitHub user's profile to gauge their contributions : github.com PyCon US YouTube channel : www.youtube.com SBOMit: adding verification to SBOMs (OpenSSF) : openssf.org Ecosystems : ecosyste.ms Watch this episode on YouTube : youtube.com Episode #557 deep-dive : talkpython.fm/557 Episode transcripts : talkpython.fm Theme Song: Developer Rap Served in a Flask : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy
Listen Show Notes
Episode #556
#556: Updates on Django's Async Story
Jul 26, 20261h 5m
For years, "Django and async" came with an asterisk. The docs themselves warned you off it. Scary performance notes, a story that felt half-finished. Well, that story just got rewritten, literally, and the person who rewrote it is here to tell you why the old framing was wrong. Carlton Gibson is a former Django Fellow, sat on the security team for eight years, and he's on the steering council. On this episode we get into the async topic doc rewrite, what actually remains versus what was just fear, the new Tasks framework in 6.0, DB-level cascades and fetch modes landing in 6.1, and why free-threading is the bet that's about to pay off big for Django. If you've been told Django's async story isn't ready, this is the episode that puts that myth to bed. Episode sponsors Sentry Error Monitoring, Code talkpython26 Python in Production Talk Python Courses Links from the show DjangoCon Europe : djangocon.eu PyCon Italia : pycon.it Django on the Med : djangomed.eu Django Mantle : noumenal.es PyPI : pypi.org release notes : docs.djangoproject.com on_delete : docs.djangoproject.com Fetch modes : docs.djangoproject.com HttpRequest.multipart_parser_class : docs.djangoproject.com async topic doc : docs.djangoproject.com docs : docs.djangoproject.com DEP 14 : github.com django-tasks : github.com django-tasks-local : github.com Celery : docs.celeryq.dev PEP 703 : peps.python.org free-threading HOWTO : docs.python.org PEP 779 : peps.python.org ASGI : docs.djangoproject.com PGBouncer : www.pgbouncer.org Channels : channels.readthedocs.io sync_to_async / async_to_sync : docs.djangoproject.com noumenal.es : noumenal.es Django Chat : djangochat.com @carlton@fosstodon.org : fosstodon.org Article: Cutting Python Web App Memory Over 31% : mkennedy.codes Watch this episode on YouTube : youtube.com Episode #556 deep-dive : talkpython.fm/556 Episode transcripts : talkpython.fm Theme Song: Developer Rap Served in a Flask : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy
Listen Show Notes
Episode #555
#555: Marimo Pair - A Canvas for Agent + Developers Collaboration
Jul 13, 20261h 5m
Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state. This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show marimo pair : marimo.io/pair Course transcripts announcement : talkpython.fm/blog anywidget: Jupyter Widgets made easy : talkpython.fm marimo : marimo.io blog : marimo.io GitHub : github.com given this : martinalderson.com llms.txt : talkpython.fm mcp : talkpython.fm cli : talkpython.fm open issues : github.com Discord : marimo.io Marimo Pair : marimo.io OpenCode : opencode.ai AI Tooling for Software Engineers in 2026 : newsletter.pragmaticengineer.com Watch this episode on YouTube : youtube.com Episode #555 deep-dive : talkpython.fm/555 Episode transcripts : talkpython.fm Theme Song: Developer Rap 🥁 Served in a Flask 🎸 : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy
Listen Show Notes

Guest Appearances

Recent guests on Talk Python To Me. Study who booked and why before you pitch.

Peter Wang

chief AI officer, cofounder and CEO, Anaconda

Wes McKinney

pandas

Mark Russinovich

CTO, Deputy CISO, and Technical Fellow, Microsoft Azure

Advertisers on this show

Sponsor detection runs nightly. Check back soon.

Best industries to pitch Talk Python To Me for

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Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.

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Episode #557

#557: Security of everything at PyCon 2026

Aug 2, 20261h 8m

Security has always been the vegetables of software. Everyone agrees it matters, and somehow it never quite makes it onto the plate. At PyCon US this year, that changed. For the first time ever, security got its own dedicated, day-long track, one of just two at the whole conference, sitting right next to AI. And the room was packed to the back wall. On this episode, I'm joined by the three people at the center of it. Seth Larson, Security Developer in Residence at the Python Software Foundation and, very recently, a CPython core developer. Juanita Gomez, a PhD researcher at UC Santa Cruz in open source security, who co-chaired the track. And Mike Fiedler, PyPI's Safety and Security Engineer, one of the very few people paid full-time to keep the packages you install safe. We use the arc of the track's talks to take the temperature of Python security right now: supply chain attacks, dependency cooldowns, zero trust, SBOMs, and the push to bring Rust into CPython. And why not one of us thinks security is anywhere close to solved. Turns out that's the good news. It's why the room was full. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show Guests Juanita Gomez : linkedin.com Mike Fiedler : miketheman.dev Seth Michael Larson : sethmlarson.dev Trailblazing Python Security : us.pycon.org Everything Security at PyCon US 2026 (PSF blog) : pyfound.blogspot.com Dependency Cooldowns : cooldowns.dev Anatomy of a Phishing Campaign (Mike Fiedler) Recording : www.youtube.com FedRAMP : www.gsa.gov Zero Trust in 200ms: Implementing Identity-Per-Transaction with Python & Serverless-Tristan McKinnon : www.youtube.com Rust for CPython project : blog.python.org pre-PEP : discuss.python.org Rust for CPython: Making Python Safer and More Robust for Everyone - Emma Smith : www.youtube.com SBOMit : github.com Asleep at the Wheel: Getting your SBOMs to pay attention... - Sanchit Sahay, Abhishek Reddypalle : www.youtube.com Volatility : volatilityfoundation.org Post Incident Runtime SBOM Generation from Python Memory - Hala Ali : www.youtube.com zizmor : docs.zizmor.sh GitHub Actions security in Python packages (Andrew Nesbitt write-up) : nesbitt.io andrew/pycon: data & analysis for the GitHub Actions security talk : github.com GitHub Actions Security in Python Packages - Andrew Nesbitt : www.youtube.com gh-profiler: examine a GitHub user's profile to gauge their contributions : github.com PyCon US YouTube channel : www.youtube.com SBOMit: adding verification to SBOMs (OpenSSF) : openssf.org Ecosystems : ecosyste.ms Watch this episode on YouTube : youtube.com Episode #557 deep-dive : talkpython.fm/557 Episode transcripts : talkpython.fm Theme Song: Developer Rap Served in a Flask : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy

Listen Show Notes

Every question we get asked before
someone starts their trial.

If you have a concern about deliverability, AI quality, data privacy, or whether this will actually work for your specific situation, it's probably answered below.

What is the difference between Founder Solo and Founder Pro?

How do agency tiers work?

What is a talent profile?

Can I switch plans later?

Yes, at any time. Upgrades take effect immediately; downgrades apply at the end of the current billing period. Contact support if you need help migrating between plan families.

Do you offer a free trial?

Every paid plan includes a 15-day free trial. Your card is saved at signup but you will not be charged until day 16. Cancel any time from your dashboard.

What happens if I cancel?

You keep access until the end of your current billing period. No charges after that. Your data is retained for 30 days in case you reactivate.

Is the 20% annual discount automatic?

Yes. Select Annual on the pricing toggle and the discounted price is applied automatically at checkout. The annual price shown is the full year cost.

What if I have more than 50 profiles or 20 clients?

That is our Enterprise tier. Contact our sales team and we will build a custom plan with volume pricing, a dedicated account manager, and SLA guarantees.

Talk Python To Me

About this Podcast:

Pitch Analysis

What is Talk Python To Me?

About the host

Recent episodes

#559: 12 Things You Should (and Shouldn't) Do in AWS

#558: Hyper-Personal Software with Python

#557: Security of everything at PyCon 2026

#556: Updates on Django's Async Story

#555: Marimo Pair - A Canvas for Agent + Developers Collaboration

Guest Appearances

Peter Wang

Wes McKinney

Mark Russinovich

Advertisers on this show

Best industries to pitch Talk Python To Me for

Podcasts like Talk Python To Me

Every question we get asked beforesomeone starts their trial.

Talk Python To Me

About this Podcast:

Pitch Analysis

What is Talk Python To Me?

About the host

Recent episodes

#559: 12 Things You Should (and Shouldn't) Do in AWS

#558: Hyper-Personal Software with Python

#557: Security of everything at PyCon 2026

#556: Updates on Django's Async Story

#555: Marimo Pair - A Canvas for Agent + Developers Collaboration

Guest Appearances

Peter Wang

Wes McKinney

Mark Russinovich

Advertisers on this show

Best industries to pitch Talk Python To Me for

Podcasts like Talk Python To Me

Every question we get asked beforesomeone starts their trial.

Every question we get asked before
someone starts their trial.

Every question we get asked before
someone starts their trial.