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... More
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... More
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#418: How To Keep A Secret in Python Apps
Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information without storing it in source code or putting in other compromising locations? We have Glyph Lefkowitz on the show to share his security fable as well as just good advice for keeping secrets out of Python code.
Links from the show
Glyph on Mastodon: @[email protected]
ShhGit: github.com
Encrust: github.com
GitHub Security Alerts: github.com
CIA Triad: fortinet.com
pinpal: github.com
XKCD Authorization: xkcd.com
Tokenring: github.com
AWS Vault: github.com
Gimme-AWS-creds: github.com
Secrets in GitHub Actions: github.com
Python Client for HashiCorp Vault: python-hvac.org
Pomodouroboros app: github.com
DateType: pypi.org
Haveibeenpwned: haveibeenpwned.com
PEP 541: peps.python.org
Glyph's security talk at PyCon: us.pycon.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
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Talk Python Training
2023/06/02
1:07:11
#417: Test-Driven Prompt Engineering for LLMs with Promptimize
Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications with AI at the core. And when doing that, the slightly unpredictable nature and probabilistic nature of LLMs make writing and testing Python code very tricky. Enter promptimize from Maxime Beauchemin and Preset. It's a framework for non-deterministic testing of LLMs inside our applications. Let's dive inside the AIs with Max.
Links from the show
Max on Twitter: @mistercrunch
Promptimize: github.com
Introducing Promptimize ("the blog post"): preset.io
Preset: preset.io
Apache Superset: Modern Data Exploration Platform episode: talkpython.fm
ChatGPT: chat.openai.com
LeMUR: assemblyai.com
Microsoft Security Copilot: blogs.microsoft.com
AutoGPT: github.com
Midjourney: midjourney.com
Midjourney generated pytest tips thumbnail: talkpython.fm
Midjourney generated radio astronomy thumbnail: talkpython.fm
Prompt engineering: learnprompting.org
Michael's ChatGPT result for scraping Talk Python episodes: github.com
Apache Airflow: github.com
Apache Superset: github.com
Tay AI Goes Bad: theverge.com
LangChain: github.com
LangChain Cookbook: github.com
Promptimize Python Examples: github.com
TLDR AI: tldr.tech
AI Tool List: futuretools.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Sponsors
PyCharm
RedHat
Talk Python Training
2023/05/30
1:13:41
#416: Open Source Sports Analytics with PySport
If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just really into them, sports offers up a continuous stream of rich data that many people can relate to. Yet, accessing that data can be tricky. Sometimes it's locked away in obscure file formats. Other times, the data exists but without a clear API to access it. On this episode, we talk about PySport - something of an awesome list of a wide range of libraries (mostly but not all Python) for accessing a wide variety of sports data from the NFL, NBA, F1, and more. We have Koen Vossen, maintainer of PySport to talk through some of the more popular projects.
Links from the show
Koen on Twitter: @mr_le_fox
PySport on Twitter: @PySportOrg
Calling R from Python: medium.com
DuckDB: duckdb.org
PySport Playground: playground.pysport.org
NFLVerse: github.com
NBA Stats: nba.com
Sports Databases: opensource.pysport.org
Data sets: opensource.pysport.org
Visualizations: opensource.pysport.org
I/O: opensource.pysport.org
Models: opensource.pysport.org
Scrapers/APIs: opensource.pysport.org
Fast F1: docs.fastf1.dev
Fast F1 graphics: docs.fastf1.dev
Pysport Intro: pysport.org
New Talk Python Training Apps: talkpython.fm
Michael's blog post about the apps: mkennedy.codes
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Sponsors
PyCharm
influxdata
Talk Python Training
2023/05/22
57:29
#415: Future of Pydantic and FastAPI
The release of Pydantic 2.0, its partial rewrite in Rust, and its refactoring into Pydantic core and top-level Pydantic in Python is big news. In fact, the alpha of Pydantic 2 was just released. Of course, these changes will have potentially wide ranging (and positive!) effects on libraries that are built upon Pydantic such as FastAPI, Beanie, and others. That's why this chance I had to catch up with Samuel Colvin from Pydantic and Sebastián Ramírez from FastAPI together, live from PyCon 2023. It's a super fun and wide ranging interview I'm sure you'll enjoy. Plus, there is a bit of an easter egg in the middle.
Links from the show
Sebastián Ramírez: @tiangolo
Samuel Colvin: @samuel_colvin
FastAPI: fastapi.tiangolo.com
Pydantic: pydantic.dev
Pydantic V2 Pre Release: pydantic.dev
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Sponsors
Sentry Error Monitoring, Code TALKPYTHON
influxdata
Talk Python Training
2023/05/15
50:05
#414: A Stroll Down Startup Lane
At PyCon 2023, there was a section of the expo floor dedicated to new Python-based companies called Startup Row. I wanted to bring their stories and the experience of talking with these new startups to you. So in this episode, we'll talk with founders from these companies for 5 to 10 minutes each.
Links from the show
Ponder: ponder.io
generally intelligent: generallyintelligent.com
Wherobots: wherobots.ai
Neptyne: neptyne.com
Nixtla: nixtla.io
Predibase: predibase.com
Pynecone: pynecone.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Sponsors
Sentry Error Monitoring, Code TALKPYTHON
Talk Python Training
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.