| id |
conf |
start |
state |
episode.name
per New York Times Manual of Style
episode.slug
|
cmt |
released |
yt
mp4 |
| 15312 |
535329 |
Sun 08 12:15 |
10 |
Pants: Cargo for Python
Pants: Cargo for Python
Pants_Cargo_for_Python
|
|
Y |
Y
|
| 15311 |
537536 |
Sun 08 12:15 |
10 |
Programming Your Computer With Python
Programming Your Computer With Python
Programming_Your_Computer_With_Python
|
|
Y |
Y
|
| 15314 |
535097 |
Sun 08 13:15 |
10 |
Ranking and Retrieval Techniques for Retrieval Augmented Generation with Haystack
Ranking and Retrieval Techniques for Retrieval Augmented Generation With Haystack
Ranking_and_Retrieval_Techniques_for_Retrieval_Augmented_Generation_with_Haystack
|
|
Y |
Y
|
| 15313 |
536294 |
Sun 08 13:15 |
10 |
Data Science beasts (failures) and where to find them
Data Science Beasts (Failures) and Where to Find Them
Data_Science_beasts_failures_and_where_to_find_them
|
|
Y |
Y
|
| 15315 |
532560 |
Sun 08 13:30 |
10 |
Type safe data validation using Pydantic v2
Type Safe Data Validation Using Pydantic V2
Type_safe_data_validation_using_Pydantic_v2
|
107 |
Y |
Y
|
| 15316 |
529902 |
Sun 08 13:45 |
10 |
Craft Complex Mock Data
Craft Complex Mock Data
Craft_Complex_Mock_Data
|
|
Y |
Y
|
| 15317 |
544342 |
Sun 08 14:00 |
10 |
Embeddings: What they are and why they matter
Embeddings: What They Are and Why They Matter
Embeddings_What_they_are_and_why_they_matter
|
|
Y |
Y
|
| 15333 |
537525 |
Sun 08 14:15 |
10 |
Python deployment with Docker and Poetry
Python Deployment With Docker and Poetry
Python_deployment_with_Docker_and_Poetry
|
|
Y |
Y
|
| 15318 |
536102 |
Sun 08 14:30 |
10 |
Let's talk about JWT
Let's Talk About JWT
Lets_talk_about_JWT
|
|
Y |
Y
|
| 15321 |
536971 |
Sun 08 15:15 |
10 |
Infrastructure as a Product: Lessons in Platform Engineering
Infrastructure as a Product: Lessons in Platform Engineering
Infrastructure_as_a_Product_Lessons_in_Platform_Engineering
|
|
Y |
Y
|
| 15320 |
536347 |
Sun 08 15:15 |
10 |
FORKS? POOLS? ASYNC? Solving Wordle with Python’s concurrency tools
FORKS? POOLS? ASYNC? Solving Wordle With Python’s Concurrency Tools
FORKS_POOLS_ASYNC_Solving_Wordle_with_Pythons_concurrency_tools
|
|
Y |
Y
|
| 15323 |
531111 |
Sun 08 15:45 |
10 |
Using pandas and pyspark to address challenges in processing and storing time series instrument data
Using Pandas and Pyspark to Address Challenges in Processing and Storing Time Series Instrument Data
Using_pandas_and_pyspark_to_address_challenges_in_processing_and_storing_time_series_instrument_data
|
|
Y |
Y
|
| 15322 |
529307 |
Sun 08 15:45 |
10 |
Elevating Python Development with Nix Package Manager
Elevating Python Development With Nix Package Manager
Elevating_Python_Development_with_Nix_Package_Manager
|
|
Y |
Y
|
| 15325 |
531853 |
Sun 08 16:15 |
10 |
Python in Hardware & Embedded Systems: A Deep Dive
Python in Hardware & Embedded Systems: A Deep Dive
Python_in_Hardware_Embedded_Systems_A_Deep_Dive
|
|
Y |
Y
|
| 15339 |
526834 |
Sun 08 16:15 |
10 |
Contain Yourself
Contain Yourself
Contain_Yourself
|
|
Y |
Y
|
| 15331 |
538401 |
Sun 08 16:45 |
10 |
No More Nitpicks: effortless cleanup with fixers, formatters, and codemods
No More Nitpicks: Effortless Cleanup With Fixers, Formatters, and Codemods
No_More_Nitpicks_effortless_cleanup_with_fixers_formatters_and_codemods
|
|
Y |
Y
|
| 15327 |
536896 |
Sun 08 16:45 |
10 |
Better Together: Unleashing the Synergy of Pandas, Polars, and Apache Arrow
Better Together: Unleashing the Synergy of Pandas, Polars, and Apache Arrow
Better_Together_Unleashing_the_Synergy_of_Pandas_Polars_and_Apache_Arrow
|
|
Y |
Y
|
| 15328 |
537288 |
Sun 08 17:00 |
10 |
Python, Planets, and Portals: Designing Web Apps for Modern Astronomers
Python, Planets, and Portals: Designing Web Apps for Modern Astronomers
Python_Planets_and_Portals_Designing_Web_Apps_for_Modern_Astronomers
|
|
Y |
Y
|
| 15329 |
534412 |
Sun 08 17:00 |
10 |
Scale Data Science by Pandas API on Spark
Scale Data Science by Pandas API on Spark
Scale_Data_Science_by_Pandas_API_on_Spark
|
|
Y |
Y
|
| 15338 |
530119 |
Sun 08 18:00 |
10 |
Beyond Conventional: Embracing Python & LLMs for Quality Assurance
Beyond Conventional: Embracing Python & LLMs for Quality Assurance
Beyond_Conventional_Embracing_Python_LLMs_for_Quality_Assurance
|
|
Y |
Y
|
| 15330 |
526433 |
Sun 08 18:00 |
10 |
Testing Strategies for Python
Testing Strategies for Python
Testing_Strategies_for_Python
|
|
Y |
Y
|
| 15335 |
527539 |
Sun 08 18:30 |
10 |
Understanding LangChain Agents and Tools with Twilio (or with SMS)
Understanding LangChain Agents and Tools With Twilio (Or With SMS)
Understanding_LangChain_Agents_and_Tools_with_Twilio_or_with_SMS
|
|
Y |
Y
|
| 15334 |
535660 |
Sun 08 18:30 |
10 |
Shiny: Data-centric web applications in Python
Shiny: Data-centric Web Applications in Python
Shiny_Datacentric_web_applications_in_Python
|
|
Y |
Y
|
| 15332 |
535885 |
Sun 08 18:54 |
10 |
Unleashing Python's Power: Serverless Innovations with AWS Lambda
Unleashing Python's Power: Serverless Innovations With AWS Lambda
Unleashing_Pythons_Power_Serverless_Innovations_with_AWS_Lambda
|
52 |
Y |
Y
|
| 15336 |
540267 |
Sun 08 19:00 |
10 |
Python's Types: 5 Amazing Ways Python Type Hints Will Supercharge Your Code
Python's Types: 5 Amazing Ways Python Type Hints Will Supercharge Your Code
Pythons_Types_5_Amazing_Ways_Python_Type_Hints_Will_Supercharge_Your_Code
|
|
Y |
Y
|
| 15337 |
529893 |
Sun 08 19:00 |
10 |
Design Patterns for Data Pipelines
Design Patterns for Data Pipelines
Design_Patterns_for_Data_Pipelines
|
|
Y |
Y
|