Talk Python To Me
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.
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
Mentioned books
7 snips
Jun 20, 2024 • 35min
#467: Data Science Panel at PyCon 2024
Join Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene as they discuss recent data science topics like model evaluations, practicality vs. complexity, bias assessment, and measuring metrics. They share insights on career transitions, challenges in the field, and the intersection of data science with other domains. The conversation covers a wide range of data science aspects and emphasizes the importance of networking and continuous learning.
7 snips
Jun 14, 2024 • 1h
#466: Pydantic Performance Tips
Sydney Runkle shares Pydantic performance tips to optimize code efficiency, covering techniques like using tag unions for discrimination in validation, efficient creation of type adapters, and strategies for importing code specifications. The discussion also explores discriminators for nested models, 'skip validation' annotations, and tools like CODSPEED for benchmark tests. Learn about Pydantic's impact on projects like FastAPI and the potential integration with large language models for enhanced productivity.
31 snips
Jun 8, 2024 • 1h 9min
#465: The AI Revolution Won't Be Monopolized
Ines Montani discusses how open source will shape the future of AI, challenging tech giants. Topics include transfer learning benefits, open-source AI models, concerns about monopolies, and the importance of collaboration in preventing AI monopolization.
17 snips
May 29, 2024 • 55min
#464: Seeing code flows and generating tests with Kolo
Developer Wilhelm Klopp discusses Kolo, an extension for VS Code to analyze Django requests and overlaps. They explore visualizing code flows, generating tests with Kolo, and the evolution of code visualization features. The podcast delves into algorithmic test generation, open-source decisions, and the innovative features of Kolo for efficient coding practices.
18 snips
May 25, 2024 • 1h 5min
#463: Running on Rust: Granian Web Server
Giovanni Barillari discusses his Rust-based web server, Granian, offering better performance and consistency. He explores transitioning from Ruby on Rails to Python, the evolution of Emmett from Granian, benefits of Neo4j, integrating Beanie and Mongo engine for web development, and the unique features of Granny. The conversation covers HTTP handling with Rust, enhancing Python's capabilities, and future plans for server enhancements.
62 snips
May 15, 2024 • 60min
#462: Pandas and Beyond with Wes McKinney
Wes McKinney, creator of pandas, discusses the power of pandas in data manipulation and analysis, evolution of pandas, Python frameworks for data science advancements, efficiency in data processing libraries like Apache Arrow, and the introduction of SQL Glott for standardizing SQL queries.
May 9, 2024 • 1h 4min
#461: Python in Neuroscience and Academic Labs
Neuroscientist Keiland Cooper discusses using Python in his lab at the University of California, Irvine. Topics include transitioning from MATLAB to Python, benefits of Python in academia, hardware communication, data analysis libraries, and the significance of notebooks for research in neuroscience.
11 snips
May 2, 2024 • 52min
#460: Dropbase: Build Internal Tools with Python
Jimmy Chan, Co-founder of Dropbase, discusses building internal web apps with Python, simplifying developer experience, connecting data sources, self-hosting Dropbase, and efficient app development with external resources. The podcast explores streamlining internal tool development, leveraging Python integration, and creating internal tools with Python, like a podcast library management app.
54 snips
Apr 27, 2024 • 55min
#459: I Built A Python SaaS with AI
Fred Tubiermont built a profitable SaaS product using ChatGPT and Python. They discuss the journey from interpreting to tech startups, challenges of product development, AI jingle maker, prompt engineering, and maximizing coding efficiency with AI assistance.
26 snips
Apr 24, 2024 • 1h
#458: Serverless Python in 2024
Tony Sherman, an expert in serverless programming, discusses the state of serverless computing and Python in 2024. Topics include new tools and best practices, error monitoring with Century, Fargate serverless tasks on ECS, optimizing performance in serverless applications, and emerging trends in serverless development.
