Talk Python To Me
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.
Episodes
#472: State of Flask and Pallets in 2024
Flask is one of the most important Python web frameworks and powers a bunch of the internet. David Lord, Flask's lead maintainer is here to give us an update on the state of Flask and Pallets in 2024. If you care about where Flask is and where it's going, you'll definitely want to listen in.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Talk Python Courses
Links from the show
David on Mastodon: @davidism
David on X: @davidism
State of Pallets 2024 FlaskCon Talk: youtube.com
FlaskCon: flaskcon.com
FlaskCon 2024 Talks: youtube.com
Pallets Discord: discord.com
Pallets Eco: github.com
JazzBand: jazzband.co
Pallets Github Org: github.com
Jinja: github.com
Click: github.com
Werkzeug: github.com
MarkupSafe: github.com
ItsDangerous: github.com
Quart: github.com
pypistats: pypistats.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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26/07/24•1h 1m
#471: Learning and teaching Pandas
If you want to get better at something, often times the path is pretty clear. If you get better at swimming, you go to the pool and practice your strokes and put in time doing the laps. If you want to get better at mountain biking, hit the trails and work on drills focusing on different aspects of riding. You can do the same for programming. Reuven Lerner is back on the podcast to talk about his book Pandas Workout. We dive into strategies for learning Pandas and Python as well as some of his workout exercises.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Scalable Path
Talk Python Courses
Links from the show
Reuven Lerner on Twitter: @reuvenmlerner
Pandas Workout Book: manning.com
Bamboo Weekly: Solar eclipse: bambooweekly.com
Bamboo Weekly: Avocado hand: bambooweekly.com
Scaling data science across Python and R: talkpython.fm
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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22/07/24•1h 4m
#470: Python in Medicine and Patient Care
Python is special. It's used by the big tech companies but also by those you would rarely classify as developers. On this episode, we get a look inside how Python is being used at a Children's Hospital to speed and improve patient care. We have Dr. Somak Roy here to share how he's using Python in his day to day job to help kids get well a little bit faster.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Posit
Talk Python Courses
Links from the show
Somak Roy: linkedin.com
Cincinnati Children's Hospital: cincinnatichildrens.org
CNVkit: Genome-wide copy number: readthedocs.io
cnaplotr: github.com
hgvs: readthedocs.io
openpyxl: readthedocs.io
Hera is an Argo Python SDK: github.com
insiM: in silico Mutator software for bioinformatics: github.com
Bamsurgeon: github.com
pysam - An interface for reading and writing SAM files: readthedocs.io
Scientists rename human genes to stop Microsoft Excel from misreading them as dates: theverge.com
BioPython: biopython.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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12/07/24•1h 19m
#469: PuePy: Reactive frontend framework in Python
Python is one of the most popular languages of the current era. It dominates data science, it an incredible choice for web development, and its many people's first language. But it's not super great on front-end programing, is it? Frameworks like React, Vue and other JavaScript frameworks rule the browser and few other languages even get a chance to play there. But with pyscript, which I've covered several times on this show, we have the possibility of Python on the front end. Yet it's not really a front end framework, just a runtime in the browser. That's why I'm excited to have Ken Kinder on the podcast to talk about his project PuePy, a reactive frontend framework in Python.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Michael's Code in a Castle Course: talkpython.fm/castle
Ken Kinder: @bouncing@twit.social
PuePy: puepy.dev
PuePy Docs: docs.puepy.dev
PuePy on Github: github.com
pyscript: pyscript.net
VueJS: vuejs.org
Hello World example: docs.puepy.dev
Tutorial: docs.puepy.dev
Tutorial running at pyscript.com: pyscript.com
Micropython: micropython.org
Pyodide: pyodide.org
PgQueuer: github.com
Writerside: jetbrains.com
Michael's PWA pyscript app: github.com
Michael's demo of a PWA pyscript app: youtube.com
Python iOS Web App with pyscript and offline PWAs video: youtube.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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08/07/24•58m 46s
#468: Python Trends Episode 2024
I've gathered a group of Python experts who have been thinking deeply about where Python is going and who have lived through where it has been. This episode is all about near-term Python trends and things we each believe will be important to focus on as Python continues to grow. Our panelists are Jodie Burchell, Carol Willing, and Paul Everett.
Episode sponsors
Code Comments
Posit
Talk Python Courses
Links from the show
Shiny course at Talk Python: talkpython.fm/shiny
Jodie Burchell: @t_redactyl
Carol on Mastodon: @willingc@hachyderm.io
Paul Everitt: @paulweveritt
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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01/07/24•1h 5m
#467: Data Science Panel at PyCon 2024
I have a special episode for you this time around. We're coming to you live from PyCon 2024. I had the chance to sit down with some amazing people from the data science side of things: Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene. We cover a whole set of recent topics from a data science perspective. Though we did have to cut the conversation a bit short as they were coming from and go to talks they were all giving but it was still a pretty deep conversation.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Jodie Burchell: @t_redactyl
Jessica Greene: linkedin.com
Maria Jose Molina-Contreras: linkedin.com
Talk Python's free Shiny course: talkpython.fm/shiny
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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20/06/24•34m 40s
#466: Pydantic Performance Tips
You're using Pydantic and it seems pretty straightforward, right? But could you adopt some simple changes to your code that would make it a lot faster and more efficient? Chances are, you'll find a couple of the tips from Sydney Runkle that will do just that. Join us to talk about Pydantic performance tips here on Talk Python.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses
Links from the show
Sydney Runkle: linkedin.com
Pydantic: pydantic.dev
Performance docs: docs.pydantic.dev
Union tips: docs.pydantic.dev
Sydney's presentation slides: docs.google.com
JSON to Pydantic: jsontopydantic.com
Samuel talking FastUI: talkpython.fm
CodeFlash: codeflash.ai
Codspeed: codspeed.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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14/06/24•1h
#465: The AI Revolution Won't Be Monopolized
There hasn't been a boom like the AI boom since the .com days. And it may look like a space destined to be controlled by a couple of tech giants. But Ines Montani thinks open source will play an important role in the future of AI. I hope you join us for this excellent conversation about the future of AI and open source.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Porkbun
Talk Python Courses
Links from the show
Ines Montani on Twitter: @_inesmontani
spaCy: spacy.io
Prodigy App: prodi.gy
Ines' presentation at PyCon Lithuania: youtube.com
LM Studio: lmstudio.ai
Little Bobby Tables: xkcd.com
spaCy and NLP course: talkpython.fm
Use my link to get your .app, .dev, or .foo domain for just $1 right now at Porkbun: talkpython.fm/porkbun
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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08/06/24•1h 8m
#464: Seeing code flows and generating tests with Kolo
Do you want to look inside your Django request? How about all of your requests in development and see where they overlap? If that sounds useful, you should check out Kolo. It's a pretty incredible extension for your editor (VS Code at the moment, more editors to come most likely). We have Wilhelm Klopp on to tell us all about it.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Talk Python Courses
Links from the show
Wil on Twitter: @wilhelmklopp
Kolo: kolo.app
Kolo's info repo: github.com
Kolo Playground: play.kolo.app
Generating tests with Kolo: kolo.app
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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29/05/24•54m 59s
#463: Running on Rust: Granian Web Server
So you've created a web app with Python using Flask, Django, FastAPI, or even Emmett. It works great on your machine. How do you get it out to the world? You'll need a production-ready web server. On this episode, we have Giovanni Barillari to tell us about his relatively-new server named Granian. It promises better performance and much better consistency than many of the more well known ones today.
Episode sponsors
Neo4j
Talk Python Courses
Links from the show
New spaCy course: talkpython.fm
Giovanni: @gi0baro
Granian: github.com
Emmett: emmett.sh
Renoir: github.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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25/05/24•1h 4m
#462: Pandas and Beyond with Wes McKinney
This episode dives into some of the most important data science libraries from the Python space with one of its pioneers: Wes McKinney. He's the creator or co-creator of pandas, Apache Arrow, and Ibis projects and an entrepreneur in this space.
Episode sponsors
Neo4j
Mailtrap
Talk Python Courses
Links from the show
Wes' Website: wesmckinney.com
Pandas: pandas.pydata.org
Apache Arrow: arrow.apache.org
Ibis: ibis-project.org
Python for Data Analysis - Groupby Summary: wesmckinney.com/book
Polars: pola.rs
Dask: dask.org
Sqlglot: sqlglot.com
Pandoc: pandoc.org
Quarto: quarto.org
Evidence framework: evidence.dev
pyscript: pyscript.net
duckdb: duckdb.org
Jupyterlite: jupyter.org
Djangonauts: djangonaut.space
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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15/05/24•59m 51s
#461: Python in Neuroscience and Academic Labs
Do you use Python in an academic setting? Maybe you run a research lab or teach courses using Python. Maybe you're even a student using Python. Whichever it is, you'll find a ton of great advice in this episode. I talk with Keiland Cooper about how he is using Python at his neuroscience lab at the University of California, Irvine.
Episode sponsors
Neo4j
Posit
Talk Python Courses
Links from the show
Keiland's website: kwcooper.xyz
Keiland on Twitter: @kw_cooper
Keiland on Mastodon: @kwcooper@fediscience.org
Journal of Open Source Software: joss.readthedocs.io
Avalanche project: avalanche.continualai.org
ContinualAI: continualai.org
Executable Books Project: executablebooks.org
eLife Journal: elifesciences.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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09/05/24•1h 3m
#460: Dropbase: Build Internal Tools with Python
Do you find yourself or your team building internal apps frequently for your company? Are you familiar with the term "forms over data"? They are super empowering for your org but they can be pretty repetitive and you might find yourself spending more time than you'd like working on them rather than core products and services. I invited Jimmy Chan from Dropbase to tell us about their service who's tagline is "Build internal web apps with just Python." It's a cool service and a fun conversation.
Episode sponsors
Mailtrap
Talk Python Courses
Links from the show
Build internal web apps with just Python.: dropbase.io
Dropbase on Github: github.com
Dropbase @ LinkedIn: linkedin.com
Dropbase on Twitter: twitter.com
Jimmy Chan: linkedin.com
Jimmy on Twitter: twitter.com
Dropbase Docs: docs.dropbase.io
Dropbase: dropbase.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
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02/05/24•52m 29s
#459: I Built A Python SaaS with AI
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.
Episode sponsors
Mailtrap
Talk Python Courses
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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27/04/24•55m 6s
#458: Serverless Python in 2024
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.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Mailtrap
Talk Python Courses
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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24/04/24•1h
#457: Software Supply Chain Security with Phylum
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.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Mailtrap
Talk Python Courses
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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19/04/24•1h 8m
#456: Building GPT Actions with FastAPI and Pydantic
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.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Neo4j
Talk Python Courses
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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16/04/24•1h 5m
#455: Land Your First Data Job
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.
Episode sponsors
Sentry Error Monitoring, Code TALKPYTHON
Posit
Talk Python Courses
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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04/04/24•59m 33s
#454: Data Pipelines with Dagster
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.
Episode sponsors
Talk Python Courses
Posit
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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21/03/24•58m 25s
#453: uv - The Next Evolution in Python Packages?
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.
Episode sponsors
Neo4j
Talk Python Courses
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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13/03/24•1h 14m
#452: Top Quart (async Flask) Extensions
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.
Episode sponsors
Posit
Talk Python Courses
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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10/03/24•55m 42s
#451: Djangonauts, Ready for Blast-Off
See the full show notes for this episode on the website at talkpython.fm/451
01/03/24•58m 33s
#450: Versioning Web APIs in Python
See the full show notes for this episode on the website at talkpython.fm/450
22/02/24•1h 2m
#449: Building UIs in Python with FastUI
See the full show notes for this episode on the website at talkpython.fm/449
13/02/24•1h 6m
#448: Full-Time Open Source Devs Panel
See the full show notes for this episode on the website at talkpython.fm/448
08/02/24•58m 46s
#447: Parallel Python Apps with Sub Interpreters
See the full show notes for this episode on the website at talkpython.fm/447
03/02/24•1h 11m
#446: Python in Excel
See the full show notes for this episode on the website at talkpython.fm/446
26/01/24•48m 9s
#445: Inside Azure Data Centers with Mark Russinovich
See the full show notes for this episode on the website at talkpython.fm/445
19/01/24•42m 25s
#444: The Young Coder's Blueprint to Success
See the full show notes for this episode on the website at talkpython.fm/444
02/01/24•54m 59s
#443: Python Bytes Crossover 2023
See the full show notes for this episode on the website at talkpython.fm/443
29/12/23•35m 15s
#442: Ultra High Speed Message Parsing with msgspec
See the full show notes for this episode on the website at talkpython.fm/442
14/12/23•1h
#441: Python = Syntactic Sugar?
See the full show notes for this episode on the website at talkpython.fm/441
06/12/23•1h 7m
#440: Talking to Notebooks with Jupyter AI
See the full show notes for this episode on the website at talkpython.fm/440
30/11/23•58m 52s
#439: Pixi, A Fast Package Manager
See the full show notes for this episode on the website at talkpython.fm/439
22/11/23•59m 4s
#438: Celebrating JupyterLab 4 and Jupyter 7 Releases
See the full show notes for this episode on the website at talkpython.fm/438
16/11/23•1h 4m
#437: HTMX for Django Developers (And All of Us)
See the full show notes for this episode on the website at talkpython.fm/437
07/11/23•1h 4m
#436: An Unbiased Evaluation of Environment and Packaging Tools
See the full show notes for this episode on the website at talkpython.fm/436
01/11/23•58m 32s
#435: PyPI Security
See the full show notes for this episode on the website at talkpython.fm/435
25/10/23•1h 3m
#434: Building Mobile Apps Backed with Python
See the full show notes for this episode on the website at talkpython.fm/434
19/10/23•58m 49s
#433: Litestar: Effortlessly Build Performant APIs
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15/10/23•1h 4m
#432: Migrating to Pydantic 2.0: Beanie for MongoDB
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06/10/23•53m 54s
#431: Visualizing CPython Release Process
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29/09/23•1h 2m
#430: Delightful Machine Learning Apps with Gradio
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19/09/23•59m 43s
#429: Taming Flaky Tests
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11/09/23•1h 9m
#428: Django Trends in 2023
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29/08/23•1h 9m
#427: 10 Tips and Ideas for the Beginner to Expert Python Journey
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19/08/23•1h 6m
#426: What's New in PyScript [August 2023]
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09/08/23•1h 5m
#425: Memray: The endgame Python memory profiler
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04/08/23•1h 10m
#424: Shiny for Python
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27/07/23•1h 4m
#423: Solving 10 different simulation problems with Python
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24/07/23•1h 6m
#422: How data scientists use Python
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07/07/23•1h 2m
#421: Python at Netflix
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02/07/23•1h 4m
#420: Database Consistency & Isolation for Python Devs
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26/06/23•56m 2s
#419: Debugging Python in Production with PyStack
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14/06/23•1h 12m
#418: How To Keep A Secret in Python Apps
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02/06/23•1h 7m
#417: Test-Driven Prompt Engineering for LLMs with Promptimize
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30/05/23•1h 13m
#416: Open Source Sports Analytics with PySport
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22/05/23•57m 29s
#415: Future of Pydantic and FastAPI
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15/05/23•50m 5s
#414: A Stroll Down Startup Lane
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07/05/23•52m 47s
#413: Live from PyCon 2023
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26/04/23•47m 20s
#412: PEP 711 - Distributing Python Binaries
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19/04/23•1h 18m
#411: Things I Wish Someone Had Explained To Me Sooner About Python
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14/04/23•1h 3m
#410: The Intersection of Tabular Data and Generative AI
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06/04/23•1h 5m
#409: Privacy as Code with Fides
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01/04/23•1h 8m
#408: Hatch: A Modern Python Workflow
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24/03/23•1h 2m
#407: pytest tips and tricks for better testing
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18/03/23•56m 22s
#406: Reimagining Python's Packaging Workflows
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12/03/23•1h 6m
#405: Testing in Radio Astronomy with Python and pytest
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03/03/23•59m 21s
#404: Clean Code in Python
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20/02/23•1h 4m
#403: Fusion Ignition Breakthrough and Python
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13/02/23•1h 4m
#402: Polars: A Lightning-fast DataFrame for Python [updated audio]
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08/02/23•58m 48s
#401: Migrating 3.8 Million Lines of Python
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02/02/23•1h
#400: Ruff - The Fast, Rust-based Python Linter
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25/01/23•1h 3m
#399: Monorepos in Python
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18/01/23•1h 10m
#398: Imaging Black Holes with Python
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14/01/23•58m 13s
#397: Evaluating New Open Source Tech Panel
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05/01/23•1h 3m
#396: AI Goes on Trial For Writing Code (crossover)
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30/12/22•37m 32s
#395: Tools for README.md Creation and Maintenance
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22/12/22•1h 13m
#394: Awesome Jupyter Libraries and Extensions in 2022
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15/12/22•1h 2m
#393: Space Science with Python
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08/12/22•1h 3m
#392: Data Science from the Command Line
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02/12/22•1h 11m
#391: Pyscript powered by MicroPython
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29/11/22•1h 11m
#390: Mastodon for Python Devs
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15/11/22•1h 8m
#389: 18 awesome asyncio packages in Python
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09/11/22•57m 28s
#388: Python 3.11 is here and it's fast
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02/11/22•1h 6m
#387: Build All the Things with Pants Build System
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27/10/22•1h 7m
#386: Realtime Web Apps and Dashboards with H2O Wave
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19/10/22•1h 5m
#385: Higher level Python asyncio with AnyIO
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15/10/22•59m 55s
#384: Python Data Visualization - Where To Start?
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04/10/22•1h 13m
#383: Textinator and Building macOS Apps with Python
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28/09/22•1h 6m
#382: Apache Superset: Modern Data Exploration Platform
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22/09/22•1h 8m
#381: Python Perf: Specializing, Adaptive Interpreter
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16/09/22•1h 8m
#380: 7 lessons from building a modern TUI framework
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05/09/22•1h 7m
#379: 17 Libraries You Should Be Using in Django
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26/08/22•1h 20m
#378: Flet: Flutter apps in Python
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21/08/22•1h
#377: Python Packaging and PyPI in 2022
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13/08/22•1h 8m
#376: Pydantic v2 - The Plan
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04/08/22•1h 18m
#375: Python Language Summit 2022
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30/07/22•58m 31s
#374: PSF Survey in Review
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20/07/22•1h 2m
#373: Reinventing Azure's Python CLI
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12/07/22•1h 6m
#372: Applied mathematics with Python
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08/07/22•1h 15m
#371: pipx - Installable, Isolated Python Applications
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30/06/22•58m 43s
#370: OpenBB: Python's Open-source Investment Platform
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22/06/22•54m 28s
#369: Getting Lazy with Python Imports and PEP 690
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16/06/22•56m 26s
#368: End-to-End Web Testing with Playwright
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03/06/22•1h 13m
#367: Say Hello to PyScript (WebAssembly Python)
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25/05/22•1h 13m
#366: Optimizing PostgreSQL DB Queries with pgMustard
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20/05/22•1h 14m
#365: Solving Negative Engineering Problems with Prefect
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12/05/22•1h 4m
#364: Symbolic Math with Python using SymPy
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07/05/22•1h 7m
#363: Python for .NET and C# developers
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28/04/22•1h 6m
#362: Hypermodern Python Projects
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20/04/22•1h 6m
#361: Pangeo Data Ecosystem
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16/04/22•54m 16s
#360: Removing Python's Dead Batteries (in just 5 years)
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08/04/22•1h 20m
#359: Lifecycle of a machine learning project
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03/04/22•1h 7m
#358: Understanding Pandas visually with PandasTutor
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25/03/22•46m 48s
#357: Python and the James Webb Space Telescope
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21/03/22•1h 2m
#356: Tips for ML / AI startups
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14/03/22•1h 6m
#355: EdgeDB - Building a database in Python
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06/03/22•1h 18m
#354: Sphinx, MyST, and Python Docs in 2022
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24/02/22•1h 11m
#353: SQLModel: The New ORM for FastAPI and Beyond
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18/02/22•1h 18m
#352: Running Python in Production
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08/02/22•1h
#351: Machine Learning Ethics and Laws Panel
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03/02/22•1h 10m
#350: Python Steering Council 2021 Retrospective
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26/01/22•1h 10m
#349: Meet Beanie: A MongoDB ODM + Pydantic
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22/01/22•1h 20m
#348: Dear PyGui: Simple yet Fast Python GUI Apps
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17/01/22•1h 1m
#347: Cinder - Specialized Python that Flies
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08/01/22•1h 11m
#346: 20 Recommended Packages in Review
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21/12/21•1h 13m
#345: 10 Tips and Tools for Developer Productivity
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15/12/21•1h 16m
#344: SQLAlchemy 2.0
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09/12/21•1h 6m
#343: Do Excel things, get notebook Python code with Mito
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30/11/21•1h 6m
#342: Python in Architecture (as in actual buildings)
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23/11/21•1h 1m
#341: 25 Pandas Functions You Didn’t Know Existed
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17/11/21•59m 16s
#340: Time to JIT your Python with Pyjion?
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10/11/21•1h 13m
#339: Making Python Faster with Guido and Mark
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04/11/21•1h 1m
#338: Using cibuildwheel to manage the scikit-HEP packages
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17/10/21•1h 17m
#337: Kedro for Maintainable Data Science
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09/10/21•1h 3m
#336: Terminal magic with Rich and Textual
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05/10/21•59m 12s
#335: Gene Editing with Python
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24/09/21•58m 20s
#334: Microsoft Planetary Computer
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18/09/21•59m 46s
#333: State of Data Science in 2021
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10/09/21•1h 3m
#332: Robust Python
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31/08/21•1h 11m
#331: Meet the Python Developer in Residence: Lukasz Langa
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27/08/21•1h 6m
#330: Apache Airflow Open-Source Workflow with Python
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20/08/21•1h 7m
#329: Geekout: Renewable Energy
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13/08/21•48m 18s
#328: Piccolo: A fast, async ORM for Python (updated)
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08/08/21•58m 51s
#327: Little Automation Tools in Python
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30/07/21•1h 5m
#326: Building Desktop Apps with wxPython
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23/07/21•53m 32s
#325: MicroPython + CircuitPython
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15/07/21•1h 8m
#324: Gatorade-powered Python APIs
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09/07/21•1h 12m
#323: Best practices for Docker in production
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03/07/21•1h 10m
#322: A path into data science
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25/06/21•59m 56s
#321: HTMX - Clean, Dynamic HTML Pages
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19/06/21•1h 12m
#320: Python in the Electrical Energy Sector
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12/06/21•1h 8m
#319: Typosquatting and Supply Chains Vulnerabilities
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06/06/21•59m 43s
#318: Measuring your ML impact with CodeCarbon
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28/05/21•1h 7m
#317: Python at the US Federal Election Commission
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21/05/21•52m 39s
#316: Flask 2.0
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14/05/21•57m 38s
#315: Awesome FastAPI extensions and add ons
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07/05/21•1h 7m
#314: Ask us about modern Python projects and tools
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30/04/21•1h 4m
#313: Automate your data exchange with PyDantic
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22/04/21•1h
#312: Python Apps that Scale to Billions of Users
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18/04/21•1h 17m
#311: Get inside the .git folder
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08/04/21•1h 12m
#310: AMA (Ask Me Anything) with Michael
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02/04/21•1h 2m
#309: What ML Can Teach Us About Life: 7 Lessons
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26/03/21•55m 44s
#308: Docker for Python Developers (2021 Edition)
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20/03/21•1h 8m
#307: Python from 1994 to 2021, my how you've grown!
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11/03/21•1h 11m
#306: Scaling Python and Jupyter with ZeroMQ
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05/03/21•1h 5m
#305: Python community at Python Discord
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01/03/21•1h 1m
#304: asyncio all the things with Omnilib
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21/02/21•1h
#303: Python for Astronomy with Dr. Becky
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12/02/21•1h 3m
#302: The Data Engineering Landscape in 2021
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04/02/21•1h 4m
#301: Deploying and running Django web apps in 2021
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28/01/21•1h 8m
#300: Building a data science startup (panel)
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22/01/21•1h 6m
#299: Personal search engine with datasette and dogsheep
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17/01/21•1h 1m
#298: Building ML teams and finding ML jobs
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11/01/21•56m 10s
#297: Python year in review (2020 edition)
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28/12/20•1h 10m
#296: Python in F1 racing
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23/12/20•1h 5m
#295: GIS + Python
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18/12/20•57m 0s
#294: oso authorizes Python
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07/12/20•51m 27s
#293: Learning how to learn as a developer
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01/12/20•1h
#292: Pythonic identity (auth in Python ecosystem)
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26/11/20•1h 5m
#291: Operational Resilience with Pyomo
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22/11/20•59m 36s
#290: Side Hustles for Data Scientists
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13/11/20•1h 8m
#289: Discovering exoplanets with Python
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09/11/20•47m 26s
#288: 10 tips to move from Excel to Python
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31/10/20•1h 3m
#287: Testing without dependencies, mocking in Python
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21/10/20•1h 3m
#286: Python and ML at NASA Jet Propulsion Laboratory (JPL)
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16/10/20•1h 7m
#285: Dask as a Platform Service with Coiled
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09/10/20•1h 11m
#284: Modern and fast APIs with FastAPI
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04/10/20•1h 6m
#283: Web scraping, the 2020 edition
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23/09/20•48m 34s
#282: pre-commit framework
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17/09/20•59m 33s
#281: Python in Car Racing
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09/09/20•1h
#280: Python and AI in Journalism
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05/09/20•55m 51s
#279: Modern Python Developer's Toolkit
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29/08/20•1h 1m
#278: Teach kids Python with real programming and fun games at Code Combat
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21/08/20•1h 5m
#277: 10 tips every Django developer should know
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10/08/20•1h 11m
#276: Geekout: Life in the solar system and beyond
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06/08/20•1h 14m
#275: Beautiful Pythonic Refactorings
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01/08/20•55m 4s
#274: Profiling data science code with FIL
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24/07/20•58m 12s
#273: CoCalc: A fully colloborative notebook development environment
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18/07/20•55m 6s
#272: No IoT things in hand? Simulate them with Device Simulator Express
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12/07/20•51m 47s
#271: Unlock the mysteries of time, Python's datetime that is!
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04/07/20•1h 4m
#270: Python in supply chains: oil rigs, rockets, and lettuce
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25/06/20•59m 20s
#269: HoloViz - a suite of tools for Python visualization
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19/06/20•55m 57s
#268: Analyzing dozens of notebook environments
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13/06/20•54m 24s
#267: 15 amazing pytest plugins
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06/06/20•53m 34s
#266: Refactoring your code, like magic with Sourcery
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29/05/20•57m 5s
#265: Why is Python slow?
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19/05/20•1h 3m
#264: 10 tips every Flask developer should know
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12/05/20•1h 8m
#263: SEO for developers
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06/05/20•1h 2m
#262: Build a career in data science
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01/05/20•1h 11m
#261: Monitoring and auditing machine learning
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25/04/20•1h
#260: From basic script to interactive data sci app with Streamlit
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18/04/20•59m 25s
#259: From Academia to Tech Industry and Python
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09/04/20•1h
#258: Thriving in a remote developer environment
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04/04/20•1h 7m
#257: Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy
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28/03/20•52m 23s
#256: Click to run your notebook with Binder
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20/03/20•57m 26s
#255: Talking to cars with Python
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14/03/20•51m 51s
#254: A Python mentorship story
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06/03/20•1h 7m
#253: Moon base geekout
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25/02/20•1h 22m
#252: What scientific computing can learn from CS
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21/02/20•1h 10m
#251: Building and UX Testing Azure's Python SDK
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13/02/20•52m 44s
#250: Capture over 400x C02 as trees with AI and Python
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08/02/20•1h 3m
#249: Capture the Staff of Pythonic Knowledge in TwilioQuest
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30/01/20•59m 1s
#248: Climate change and your Python code
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24/01/20•1h 16m
#247: Solo maintainer of open-source in academia
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16/01/20•1h 5m
#246: Practices of the Python Pro
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09/01/20•1h 4m
#245: Python packaging landscape in 2020
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03/01/20•1h 1m
#244: Top 10 Real Python Articles of 2019
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27/12/19•59m 49s
#243: Python on Windows is OK, actually
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17/12/19•57m 38s
#242: Your education will be live-streamed
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11/12/19•54m 23s
#241: Opal: Full stack health care apps
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07/12/19•53m 23s
#240: A guided tour of the CPython source code
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27/11/19•1h
#239: Bayesian foundations
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23/11/19•57m 18s
#237: A gut feeling about Python
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06/11/19•49m 40s
#236: Scaling data science across Python and R
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29/10/19•1h
#235: Python in your Browser with Skulpt
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23/10/19•1h
#234: Awesome Python Applications
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15/10/19•1h 4m
#233: The Masonite Python Web Framework
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10/10/19•1h 8m
#232: Become a robot developer with Python
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04/10/19•1h 1m
#231: Advice for freelancing with Python
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25/09/19•1h 9m
#230: Python in digital humanities research
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18/09/19•57m 42s
#229: Building advanced Pythonic interviews with docassemble
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12/09/19•1h
#228: Hunting bugs and tech startups with Python
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04/09/19•59m 41s
#227: Maintainable data science: Tips for non-developers
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28/08/19•1h 10m
#226: Building Flask APIs for data scientists
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23/08/19•1h 9m
#225: Can subinterpreters free us from Python's GIL?
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12/08/19•1h 10m
#224: 12 lessons from 100 days of web
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05/08/19•1h 8m
#223: Fun and Easy 2D Games with Python
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30/07/19•1h 3m
#222: Interactive graphs with Bokeh and Python
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26/07/19•59m 19s
#221: Empowering developers by embedding Python
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18/07/19•1h 7m
#220: Machine Learning in the cloud with Azure ML
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12/07/19•54m 44s
#219: Take a Python tour of duty at the United States Digital Service
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05/07/19•1h 1m
#218: Serverless Python functions in Azure
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25/06/19•47m 57s
#217: Notebooks vs data science-enabled scripts
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21/06/19•54m 25s
#216: Digging into Visual Studio Code
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14/06/19•53m 5s
#215: The software powering Talk Python courses and podcast
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06/06/19•1h 7m
#214: Dive into CPython 3.8 and beyond
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31/05/19•1h
#213: WebAssembly and CPython
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25/05/19•49m 8s
#212: Python in Web Assembly with Pyodide
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17/05/19•57m 21s
#211: Classic CS problems in Python
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11/05/19•1h 8m
#210: Making the most out of in-person training
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02/05/19•1h 7m
#209: Inside Python's new governance model
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28/04/19•1h 7m
#208: Packaging, Making the most of PyCon, and more
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21/04/19•1h 10m
#207: Parallelizing computation with Dask
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14/04/19•57m 53s
#206: Running Django in Production
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06/04/19•51m 25s
#205: Beginners and Experts Panel
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02/04/19•57m 53s
#204: StaticFrame, like Pandas but safer
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21/03/19•1h 1m
#203: Beginners and Experts in Software Development
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13/03/19•57m 35s
#202: Building a software business
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09/03/19•59m 1s
#201: Choosing JupyterHub and Python over MATLAB
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27/02/19•1h 3m
#200: Escaping Excel Hell with Python and Pandas
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21/02/19•1h 6m
#199: Automate all the things with Python at Zapier
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14/02/19•1h 5m
#198: Catching up with the Anaconda distribution
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09/02/19•1h 5m
#197: Modern Python Standard Library Cookbook
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02/02/19•1h 1m
#196: Datalore: Hosted smart notebooks
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23/01/19•49m 50s
#195: Teaching Python at Apple
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20/01/19•1h
#194: Learning (and teaching) Python in a vacuum
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11/01/19•1h 6m
#193: Data Science Year in Review 2018 Edition
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31/12/18•1h 20m
#192: Python Year in Review 2018 Edition
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26/12/18•59m 3s
#191: Python's journey at Microsoft
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18/12/18•1h 12m
#190: Teaching Django
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11/12/18•1h 1m
#189: War Stories of the Developer Evangelists
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07/12/18•59m 11s
#188: Async for the Pythonic web with Sanic
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01/12/18•56m 22s
#187: Secure all the things with HubbleStack
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20/11/18•59m 53s
#186: 100 Days of Python in a Magical Universe
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16/11/18•1h 2m
#185: Creating a Python 3 Culture at Facebook
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09/11/18•1h 7m
#184: Teaching Python with BBC micro:bit
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02/11/18•1h 7m
#183: Qt for Python
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24/10/18•58m 3s
#182: Picture Python at Shutterfly
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17/10/18•58m 15s
#181: 30 amazing Python projects
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12/10/18•52m 10s
#180: What's new in Python 3.7 and beyond
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02/10/18•57m 26s
#179: Python Language Summit 2018
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26/09/18•50m 36s
#178: Coverage.py
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21/09/18•1h 3m
#177: Flask goes 1.0
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15/09/18•1h 2m
#176: The Python Community by the Numbers
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10/09/18•53m 29s
#175: Teaching Python to network engineers
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31/08/18•55m 27s
#174: Coming into Python from another Industry (part 2)
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16/08/18•51m 6s
#173: Coming into Python from another Industry (part 1)
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07/08/18•57m 25s
#172: Nuitka: A full Python compiler
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01/08/18•1h 6m
#171: 1M Jupyter notebooks analyzed
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29/07/18•58m 32s
#170: Guido van Rossum steps down
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20/07/18•37m 55s
#169: Becoming a Python content creator
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13/07/18•1h 6m
#168: 10 Python security holes and how to plug them
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06/07/18•1h
#167: Simplifying Python's Async with Trio
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29/06/18•55m 41s
#166: Continuous delivery with Python
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14/06/18•1h 9m
#165: Python and the blockchain
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08/06/18•1h 5m
#164: Python in Brain Research at the Allen Institute
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01/06/18•57m 54s
#163: Python in Geoscience
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25/05/18•52m 17s
#162: Python in Building and Architecture
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21/05/18•54m 35s
#161: Django 2.0
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12/05/18•1h 7m
#160: Lektor: Beautiful websites out of flat files
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04/05/18•55m 41s
#159: Inside the new PyPI launch
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27/04/18•1h
#158: Quantum Computing and Python
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20/04/18•47m 54s
#157: The Journal of Open Source Software
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06/04/18•1h 4m
#156: Python History and Perspectives
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24/03/18•59m 7s
#155: Practical steps for moving to Python 3
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16/03/18•1h 3m
#154: Python in Biology and Genomics
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07/03/18•58m 16s
#153: How Python Evolves
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01/03/18•1h 22m
#152: Understanding and using Python's AST
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23/02/18•51m 55s
#151: Gradual Typing of Production Applications
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16/02/18•1h 9m
#150: Technical Lessons Learned from Pythonic Refactoring
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08/02/18•59m 57s
#149: 4 Python Web Frameworks, Compared
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02/02/18•57m 25s
#148: Python Book Authors' Panel Discussion
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28/01/18•1h 2m
#147: Quart: Flask, but 3x faster
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19/01/18•51m 2s
#146: Building Alexa Skills with Python and Flask
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11/01/18•1h 1m
#145: 2017 Python Year in Review
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31/12/17•59m 23s
#144: Machine Learning at the Large Hadron Collider
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26/12/17•58m 22s
#143: Tuning Python Web App Performance
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20/12/17•1h 3m
#141: Python tricks
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07/12/17•1h 11m
#140: Level up your Python with #100DaysOfCode challenge
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29/11/17•58m 18s
#139: Paths into a data science career
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22/11/17•1h 2m
#138: Anvil: All web, all Python
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15/11/17•1h
#137: Design concepts and tips for developers
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08/11/17•58m 3s
#136: Secure code lessons from Have I Been Pwned
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02/11/17•1h
#135: Capturing human moments with AI and Python
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27/10/17•54m 9s
#134: Python in Climate Science
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19/10/17•52m 50s
#133: Productivity for developers
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11/10/17•1h 4m
#132: Contributing to open source
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04/10/17•1h 4m
#131: Top 10 machine learning libraries
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26/09/17•54m 8s
#130: 10 books Python developers should be reading
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19/09/17•52m 28s
#129: Falcon: The bare-metal Python web framework
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14/09/17•59m 53s
#128: Pythonic Networks with NAPALM
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07/09/17•56m 22s
#127: Shipping software to users
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31/08/17•1h 15m
#126: Kubernetes for Pythonistas
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22/08/17•59m 39s
#125: Django REST framework and a new API star is born
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15/08/17•1h 7m
#124: Python for AI research
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07/08/17•55m 20s
#123: Lessons from 100 straight dev job interviews
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31/07/17•46m 23s
#122: Home Assistant: Pythonic Home Automation
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26/07/17•58m 8s
#121: Microservices in Python
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19/07/17•1h 5m
#120: Python in Finance
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12/07/17•1h 7m
#119: Python in Engineering
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06/07/17•52m 23s
#118: Serverless software
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27/06/17•54m 50s
#117: Functional Python with Coconut
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21/06/17•1h 3m
#116: 10 top talks of PyCon 2017 reviewed
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12/06/17•1h
#115: Python for Humans projects
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08/06/17•53m 45s
#114: Empowering developers at the Hidden Genius project
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30/05/17•38m 2s
#113: Dedicated AI chips and running old Python faster at Intel
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27/05/17•53m 2s
#112: Geeking out in the golden years
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18/05/17•1h 7m
#111: Pythonic Career Advice and More
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13/05/17•57m 35s
#110: Data Democratization with Redash
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02/05/17•56m 2s
#109: MongoDB Applied Design Patterns
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29/04/17•1h
#108: MicroPython and Open Source Hardware at Adafruit
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21/04/17•1h 4m
#107: Python concurrency with Curio
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15/04/17•1h 1m
#106: Invent your own computer games with Python
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07/04/17•58m 12s
#105: A Pythonic Database Tour
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27/03/17•57m 56s
#104: Game Theory in Python
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23/03/17•57m 50s
#103: Compiling Python through PyLLVM and MongoDB for Data Scientists
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16/03/17•52m 36s
#102: Effective Code Reviews
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08/03/17•50m 52s
#101: Adding a full featured Python environment to Visual Studio Code
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03/03/17•55m 11s
#100: Python past, present, and future with Guido van Rossum
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22/02/17•1h 2m
#99: Morepath: Super Powered Python Web Framework
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15/02/17•1h 4m
#98: Adding concurrency to Django with Django Channels
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08/02/17•1h 5m
#97: Flask, Django style with Flask-Diamond
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02/02/17•1h 5m
#96: Exploring Awesome Python
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25/01/17•52m 20s
#95: Grumpy: Running Python on Go
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18/01/17•52m 9s
#94: Guarenteed packages via Conda and Conda-Forge
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11/01/17•46m 31s
#93: Spreading Python through the sciences with Software Carpentry
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03/01/17•1h 1m
#92: Bonus: Python Bytes Crossover: Python 3.6 is going to be awesome, Kite: your friendly co-developing AI
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29/12/16•21m 0s
#91: Top 10 Data Science Stories of 2016
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27/12/16•1h 7m
#90: Data Wrangling with Python
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21/12/16•1h 1m
#89: A conversation with the Chief Data Scientist of the United States
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15/12/16•52m 39s
#88: Lightweight Django
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06/12/16•59m 58s
#87: PonyORM: The most Pythonic ORM yet?
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29/11/16•56m 29s
#86: Python at StackOverflow
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24/11/16•1h 10m
#85: Parsing horrible things with Python
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17/11/16•59m 46s
#84: Are we failing to fund Python's core infrastructure?
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08/11/16•1h 5m
#83: Python Videos on Demand at PyVideo
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02/11/16•53m 26s
#82: Grokking Algorithms in Python
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27/10/16•58m 45s
#81: Python and Machine Learning in Astronomy
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21/10/16•1h 2m
#80: TinyDB: A tiny document db written in Python
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16/10/16•47m 1s
#79: Beeware Python Tools
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07/10/16•1h 22m
#78: How I built an entire game and toolchain 100% in Python
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28/09/16•53m 26s
#77: 20 Python Libraries You Aren't Using (But Should)
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23/09/16•1h 16m
#76: Renewable Python
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15/09/16•54m 10s
#75: Pythonic games at CheckIO
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09/09/16•55m 27s
#74: Past, Present, and Future of IronPython
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02/09/16•50m 48s
#73: Machine learning at the new Microsoft
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26/08/16•1h 4m
#72: Fashion-driven open source software at Zalando
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19/08/16•1h 1m
#71: Soft Skills: The software developer's life manual
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11/08/16•1h 5m