We all know that tools like ChatGPT have really empowered developers to tackle bigger problems. Are you using TailwindCSS and need a login page? Try asking Chat "What is the HTML for a login page with the login username, password, and button in its own section in the center of the page?" It will literally give you a first pass version of it. But how far can you push this? Fred Tubiermont may have taken it farther than most. He built a functioning SaaS product with paying customers by only using ChatGPT and Python. It's fascinating to hear his story.

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Links from the show

Frederick Tubiermont: linkedin.com
The #1 AI Jingle Generator: aijinglemaker.com
Fred's YouTube Channel: youtube.com
AI Coding Club: aicodingclub.com
No Code: saashub.com
Prompt Engineering 101 - Crash Course & Tips: youtube.com
gpt-engineer: github.com
Instant Deployments, Effortless Scale: railway.app
Self-hosting with superpowers.: coolify.io
The newsletter platform built for growth.: beehiiv.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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What is the state of serverless computing and Python in 2024? What are some of the new tools and best practices? We are lucky to have Tony Sherman who has a lot of practical experience with serverless programming on the show.

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Links from the show

Tony Sherman on Twitter: twitter.com
Tony Sherman: linkedin.com
PyCon serverless talk: youtube.com
AWS re:Invent talk: youtube.com
Powertools for AWS Lambda: docs.powertools.aws.dev
Pantsbuild: The ergonomic build system: pantsbuild.org
aws-lambda-power-tuning: github.com
import-profiler: github.com
AWS Fargate: aws.amazon.com
Run functions on demand. Scale automatically.: digitalocean.com
Vercel: vercel.com
Deft: deft.com
37 Signals We stand to save $7m over five years from our cloud exit: world.hey.com
The Global Content Delivery Platform That Truly Hops: bunny.net
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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We've spoken previously about security and software supply chains and we are back at it this episode. We're diving in again with Charles Coggins. Charles works at a software supply chain company and is on to give us the insiders and defender's perspective on how to keep our Python apps and infrastructure safe.

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Links from the show

Series: How Malicious Python Code Gains Execution: blog.phylum.io

Pick a Python Lockfile and Improve Security: blog.phylum.io
Bad Beat Poetry: blog.phylum.io
PEP 665 – A file format to list Python dependencies for reproducibility of an application: peps.python.org
PEP 517 – A build-system independent format for source trees: peps.python.org
PEP 518 – Specifying Minimum Build System Requirements for Python Projects: peps.python.org
Lockfiles should be committed on all projects: classic.yarnpkg.com
An Overview of Software Supply Chain Security: tldrsec.com
Typosquatting: docs.phylum.io
Common Attack Pattern Enumeration and Classification: capec.mitre.org
Dependency Confusion: docs.phylum.io
Expired Author Domains: docs.phylum.io
Unverifiable Dependency: docs.phylum.io
Repo Jacking: Hidden Danger in Broken Links: blog.phylum.io
Software Libraries Are Terrifying: medium.com
phylum 0.43.0: pypi.org
linguist: github.com
rich-codex ⚡️📖⚡️: ewels.github.io
Phylum Community Discord: discord.gg
The dream is dead?: mastodon.social
When "Everything" Becomes Too Much: The npm Package Chaos of 2024: socket.dev
pip-tools: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Do you know what custom GPTs are? They're configurable and shareable chat experiences with a name, logo, custom instructions, conversation starters, access to OpenAI tools, and custom API actions. And, you can build them with Python! Ian Maurer has been doing just that and is here to share his experience building them.

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Links from the show

Ian on Twitter: @imaurer

Mobile Navigation: openai.com
What is a Custom GPT?: imaurer.com
Mobile Navigation: openai.com
FuzzTypes: Pydantic library for auto-correcting types: github.com
pypi-gpt: github.com
marvin: github.com
instructor: github.com
outlines: github.com
llamafile: github.com
llama-cpp-python: github.com
LLM Dataset: llm.datasette.io
Plugin directory: llm.datasette.io
Data exploration at your fingertips.: visidata.org
hottest new programming language is English: twitter.com
OpenAI & other LLM API Pricing Calculator: docsbot.ai
Vector DB Comparison: vdbs.superlinked.com
bpytop: github.com
Source Graph: about.sourcegraph.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Interested in data science but you're not quite working in it yet? In software, getting that very first job can truly be the hardest one to land. On this episode, we have Avery Smith from Data Career Jumpstart here to share his advice for getting your first data job.

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Links from the show

Avery Smith: www.linkedin.com
Data Career Jumpstart: www.datacareerjumpstart.com
Data Nerd Site: datanerd.tech
Write C# LINQ queries to query data: learn.microsoft.com
A faster way to build and share data apps: streamlit.io
Plotly Dash: dash.plotly.com

Michael's Keynote: State of Python in 2024: youtube.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs processed, filtered, transformed, distributed, and much more. One of the biggest tools to create these data pipelines with Python is Dagster. And we are fortunate to have Pedram Navid on the show this episode. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python.

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Links from the show

Rock Solid Python with Types Course: training.talkpython.fm

Pedram on Twitter: twitter.com
Pedram on LinkedIn: linkedin.com
Ship data pipelines with extraordinary velocity: dagster.io
dagster-open-platform: github.com
The Dagster Master Plan: dagster.io
data load tool (dlt): dlthub.com
DataFrames for the new era: pola.rs
Apache Arrow: arrow.apache.org
DuckDB is a fast in-process analytical database: duckdb.org
Ship trusted data products faster: www.getdbt.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Have you ever been wait around for pip to do its thing while installing packages or syncing a virtual environment or through some higher level tool such as pip-tools? Then you'll be very excited to hear about the tool just announced from Astral called uv. It's like pip, but 100x faster. Charlie Marsh from Ruff fame and founder of Astral is here to dive in. Let's go.

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Links from the show

Charlie Marsh on Twitter: @charliermarsh
Charlie Marsh on Mastodon: @charliermarsh
Astral: astral.sh
uv: github.com
Ruff: github.com
Ruff Rules: docs.astral.sh
When "Everything" Becomes Too Much: The npm Package Chaos of 2024: socket.dev

Talk Python's free Audio AI Course: training.talkpython.fm
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Have you heard of Quart? It's the fully-async version of Flask created by Philip Jones who is working closely with the Flask team on these parallel projects. The TL;DR; version is that if you want to take advantage of async and await and you're using Flask, you want to give Quart a solid look. We've spoken to Philip previously about Quart. This time around here's here to share his top Quart extensions and libraries you can adopt today.

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Links from the show

Pallets Team on ExTwitter: @PalletsTeam
Quart Framework: quart.palletsprojects.com
Using Quart Extensions: quart.palletsprojects.com

Quart Tasks: quart-tasks.readthedocs.io
Quart Minify: github.com
Quart Db: github.com
Hypercorn: github.com
Quart-CORS: github.com
Quart-Auth: github.com
Quart-Rate: github.com
Quart-Schma: github.com
Flask-Socket: github.com
Quart-SqlAlchemy: github.com
Flask-Login: github.com
greenback: github.com
secure: github.com
msgspec: jcristharif.com
Server-Sent Events: pgjones.gitlab.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Are you interested in contributing to Django? Then there is an amazing mentorship program that helps Python and Django enthusiasts, because contributes and potentially core developers of Django. It's called Djangonauts and their slogan is "where contributors launch." On this episode, we have Sarah Boyce from the Django team and former Djangonaut and now Djangonaut mentor, Tushar Gupta. Not only is this excellent for the Django community, many of other open source communities would do well to keep an eye on how this creative project is working.

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Links from the show

Sarah on Mastodon: @[email protected]
Sarah on LinkedIn: linkedin.com
Tushar on Twitter: @tushar5526
Djangonaut Space on Mastodon: @[email protected]
Djangonaut Space on Twitter: @djangonautspace
Djangonaut Space on LinkedIn: linkedin.com

Website: djangonaut.space
Djangonaut Space Launch Video: youtube.com
Sessions: djangonaut.space
Djangonaut Space Interest Form: google.com/forms
Program: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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You've built an awesome set of APIs and you have a wide array of devices and clients using them. Then you need to upgrade an end point or change them in a meaningful way. Now what? That's the conversation I dive into over the next hour with Stanislav Zmiev. We're talking about Versioning APIs.

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Links from the show

Stanislav Zmiev: github.com
Monite: monite.com
Cadwyn: github.com
Stripe API Versioning: stripe.com
API Versioning NOtes: github.com
FastAPI-Versioning: github.com
Flask-Rebar: readthedocs.io
Django Rest Framework Versioning: django-rest-framework.org
pytest-fixture-classes: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Building web UIs in Python has always been in interesting proposition. On one end, we have a the full web design story with artisanal HTML and CSS. On another end there are several Python platforms that aim to the bring RAD, rapid app development, style of building with Python. Those can be great, and I've covered a couple of them, but they usually reach a limit on what they can do or how they integrate with the larger web ecosystem. On this episode, we have Samuel Colvin to share his latest exciting project FastUI. With FastUI, you build responsive web applications using React without writing a single line of JavaScript, or touching npm. Yet designers and other tools can focus on React front-ends for a professional SPA like app experience.

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Links from the show

Samuel on Mastodon: fosstodon.org
Samuel on X: x.com

FastUI: github.com
FastUI Demos: fastui-demo.onrender.com
FastAPI: fastapi.tiangolo.com
Pydantic: pydantic.dev
How Did REST Come To Mean The Opposite of REST Article: htmx.org
Tailwind UI: tailwindui.com
Dropbase: dropbase.io
Anvil: anvil.works
Flutter code example: github.com
ReactJS code example: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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