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Michael Kennedy

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.

Talk Python To Me

LanceDB is a developer-friendly, open source database for AI. It's used by well-known companies such as Midjourney and Character.ai. We have Chang She, the CEO and cofounder of LanceDB on to give us a look at the concept of multi-modal data and how you can use LanceDB in your own Python apps.

Episode sponsors

Sentry Error Monitoring, Code TALKPYTHON

Bluehost

Talk Python Courses

Links from the show
Chang She: @changhiskhan

Chang on Github: github.com

LanceDB: lancedb.com

LanceDB Source: github.com

Embeddings API: github.com

MinIO: min.io

LanceDB Quickstart: github.com

VectorDB-recipes: github.com

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

--- Stay in touch with us ---

Subscribe to Talk Python on YouTube: youtube.com

Talk Python on Bluesky: @talkpython.fm at bsky.app

Talk Python on Mastodon: talkpython

Michael on Bluesky: @mkennedy.codes at bsky.app

Michael on Mastodon: mkennedy

#488: Multimodal data with LanceDB

Peter Wang has been pushing Python forward since the early days of its data science roots. We're lucky to have him back on the show. We're going to talk about the Anaconda Toolbox for Excel as well as many other trends and topics that are hot in the Python space right now. I'm sure you'll enjoy listening to the two of us exchanging our takes on the topics and trends.

Episode sponsors

Sentry Error Monitoring, Code TALKPYTHON

Bluehost

Talk Python Courses

Links from the show
Peter on BSky: @wang.social

Michael on BSky: @mkennedy.codes

Michael's Curated BSky Starter List: bsky.app

Python Blsky Starter Pack List: blueskydirectory.com

Anaconda Toolbox for Microsoft Excel: anaconda.com

JupyterLite: jupyter.org

8 of the Biggest Excel Mistakes of All Time: blog.hurree.co

The Five Demons of Python Packaging PyBay talk: youtube.com

PEP 759: peps.python.org

TIOBE Index: tiobe.com

pyscript: pyscript.net

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

--- Stay in touch with us ---

Subscribe to Talk Python on YouTube: youtube.com

Talk Python on Bluesky: @talkpython.fm at bsky.app

Talk Python on Mastodon: talkpython

Michael on Bluesky: @mkennedy.codes at bsky.app

Michael on Mastodon: mkennedy

#489: Anaconda Toolbox for Excel and more with Peter Wang

If you're a Django developer, I'm sure you've heard so many people raving about FastAPI and Pydantic. But you really love Django and don't want to switch. Then you might want to give Django Ninja a serious look. Django Ninja is highly inspired by FastAPI, but is also deeply integrated into Django itself. We have Vitaliy Kucheryaviy the creator of Django Ninja on this show to tell us all about it.

Episode sponsors

Sentry Error Monitoring, Code TALKPYTHON

Bluehost

Talk Python Courses

Links from the show
Vitaly: github.com/vitalik

Vitaly on X: @vital1k

Top 5 Episodes of 2024: talkpython.fm/blog/posts/top-talk-python-podcast-episodes-of-2024

Django Ninja: django-ninja.dev

Motivation section we talked through: django-ninja.dev/motivation

LLM for Django Ninja: llm.django-ninja.dev

Nano Django: github.com/vitalik/nano-django

Episode transcripts: talkpython.fm

--- Stay in touch with us ---

Subscribe to Talk Python on YouTube: youtube.com

Talk Python on Bluesky: @talkpython.fm at bsky.app

Talk Python on Mastodon: talkpython

Michael on Bluesky: @mkennedy.codes at bsky.app

Michael on Mastodon: mkennedy

#490: Django Ninja

Join me for an insightful conversation with Alex Monahan, who works on documentation, tutorials, and training at DuckDB Labs. We explore why DuckDB is gaining momentum among Python and data enthusiasts, from its in-process database design to its blazingly fast, columnar architecture. We also dive into indexing strategies, concurrency considerations, and the fascinating way MotherDuck (the cloud companion to DuckDB) handles large-scale data seamlessly. Don’t miss this chance to learn how a single pip install could totally transform your Python data workflow!

Episode sponsors

Sentry Error Monitoring, Code TALKPYTHON

Data Citizens Podcast

Talk Python Courses

Links from the show
Alex on Mastodon: @__Alex__

DuckDB: duckdb.org

MotherDuck: motherduck.com

SQLite: sqlite.org

Moka-Py: github.com

PostgreSQL: www.postgresql.org

MySQL: www.mysql.com

Redis: redis.io

Apache Parquet: parquet.apache.org

Apache Arrow: arrow.apache.org

Pandas: pandas.pydata.org

Polars: pola.rs

Pyodide: pyodide.org

DB-API (PEP 249): peps.python.org/pep-0249

Flask: flask.palletsprojects.com

Gunicorn: gunicorn.org

MinIO: min.io

Amazon S3: aws.amazon.com/s3

Azure Blob Storage: azure.microsoft.com/products/storage

Google Cloud Storage: cloud.google.com/storage

DigitalOcean: www.digitalocean.com

Linode: www.linode.com

Hetzner: www.hetzner.com

BigQuery: cloud.google.com/bigquery

DBT (Data Build Tool): docs.getdbt.com

Mode: mode.com

Hex: hex.tech

Python: www.python.org

Node.js: nodejs.org

Rust: www.rust-lang.org

Go: go.dev

.NET: dotnet.microsoft.com

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

--- Stay in touch with us ---

Subscribe to Talk Python on YouTube: youtube.com

Talk Python on Bluesky: @talkpython.fm at bsky.app

Talk Python on Mastodon: talkpython

Michael on Bluesky: @mkennedy.codes at bsky.app

Michael on Mastodon: mkennedy

#491: DuckDB and Python: Ducks and Snakes living together

Join me as I chat with Rich Iannone and Michael Chow from Posit where we explore the transformative power of data tables with the Great Tables library. We'll cover practical applications of Great Tables, showcasing how thoughtful design and advanced formatting can elevate your data presentations. And you'll learn about innovative features like nano plots and interactive elements and the importance of structure, format, and style in crafting tables that both inform and inspire. Whether you're a seasoned data scientist or just starting out, this episode is packed with valuable tips and inspiring examples to enhance your data storytelling.

Episode sponsors

Talk Python Courses

DigitalOcean

Links from the show
Michael Chow: github.com/machow

Richard Iannone: github.com/rich-iannone

Episode Deep Dives Writeup: talkpython.fm/blog

Great Tables: github.com

Making Beautiful, Publication Quality Tables PyCon talk: youtube.com

Andrew Weatherman's Visualization Gallery: aweatherman.com

Bureau of the Census Manual of Tabular Presentation: census.gov

Table Contest: posit.co

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

--- Stay in touch with us ---

Subscribe to Talk Python on YouTube: youtube.com

Talk Python on Bluesky: @talkpython.fm at bsky.app

Talk Python on Mastodon: talkpython

Michael on Bluesky: @mkennedy.codes at bsky.app

Michael on Mastodon: mkennedy

#492: Great Tables

See the full show notes for this episode on the website at talkpython.fm/0

#0: Introducing the show!

See the full show notes for this episode on the website at talkpython.fm/1

#1: EVE - RESTful APIs for humans

See the full show notes for this episode on the website at talkpython.fm/2

#2: Python and MongoDB

See the full show notes for this episode on the website at talkpython.fm/4

#4: Enterprise Python and Large-Scale Projects

See the full show notes for this episode on the website at talkpython.fm/5

#5: SQLAlchemy and data access in Python

See the full show notes for this episode on the website at talkpython.fm/45

#45: The Python Testing Column, Now a Thing

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