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Talk Python To Me

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94 snips
Mar 24, 2025 • 1h 8min

#498: Algorithms for high performance terminal apps

Will McGugan, the innovative creator of the Rich library and founder of Textualize, discusses his groundbreaking work on high-performance terminal applications. He unveils how smooth animations and dynamic widgets can transform command-line tools into modern user experiences. Topics include the evolution of terminal aesthetics, the importance of secure Python package management, and the benefits of asynchronous programming for developing complex user interfaces. McGugan emphasizes community feedback in shaping the future of terminal applications.
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67 snips
Mar 21, 2025 • 55min

#497: Outlier Detection with Python

Brett Kennedy, a seasoned software developer with 30 years of expertise in data science, shares his insights on outlier detection. He explains how outliers can uncover fraud or hidden patterns in data, emphasizing their critical role in various fields, including finance and biology. The discussion covers Python's unique methods for outlier detection, the logistical challenges of massive datasets, and the importance of ongoing model retraining. Brett also explores advanced techniques and tools, stressing the balance between dataset size and computational resources.
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129 snips
Mar 14, 2025 • 1h 20min

#496: Scaf: Complete blueprint for new Python Kubernetes projects

Calvin Hendricks-Parker, CTO and co-founder of Six Feet Up, dives deep into the world of Python deployment challenges. He discusses the tricky journey from local development to production, highlighting issues like inconsistent environments and security pitfalls. Calvin introduces Scaf, a robust blueprint that simplifies starting Python web projects, along with insights on using Docker and Kubernetes effectively. The conversation also touches on automation, managing cloud costs, and the importance of a solid developer experience, making it a must-listen for Python enthusiasts.
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65 snips
Feb 24, 2025 • 1h 2min

#495: OSMnx: Python and OpenStreetMap

Dr. Jeff Boeing, an assistant professor specializing in urban planning and data science, delves into the power of OpenStreetMap and his OSMnx Python library. He discusses how urban design influences daily commutes and resilience in cities. Listeners learn how to download, visualize, and analyze geographic data for better urban insights. Jeff also highlights the importance of open data and its potential to revolutionize how we understand our urban environments, making complex mapping easier and more accessible.
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31 snips
Feb 21, 2025 • 1h

#494: Update on Flet: Python + Flutter UIs

Feodor Fitsner, founder of Flet, shares exciting updates about his Python UI framework built on Flutter. He discusses the vibrant community around Flet and the integration of Python with Flutter for mobile development. The conversation highlights challenges in app packaging and deployment, including code signing and anti-malware hurdles. Fitsner sheds light on best practices for building mobile apps and the advantages of the extensive library of widgets in Flet, making cross-platform app development more accessible for Python developers.
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39 snips
Feb 9, 2025 • 1h 5min

#493: Quarto: Open-source technical publishing

JJ Allaire, founder of Posit and creator of RStudio, joins Carlos Scheidegger, a software engineer at Posit, to discuss Quarto, a game-changing open-source tool for technical publishing. They explore how Quarto transforms Jupyter notebooks into polished outputs, enhancing accessibility across diverse audiences. The conversation highlights challenges in academic publishing and the importance of reproducibility in research. Additionally, they touch on community engagement in open-source projects and the powerful synergy between R and Python users.
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40 snips
Jan 30, 2025 • 1h 4min

#492: Great Tables

Discover the transformative power of the Great Tables library and how advanced formatting can elevate your data presentations. Learn about the art of table creation, automation, and the complexities of effective visualization. Delve into the benefits of tables for organizing multidimensional data and the significance of thoughtful design elements. Explore innovative features like nano plots and interactive elements that enhance data storytelling. Join a creative contest showcasing unique designs and engage with a community passionate about improving data presentation.
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157 snips
Dec 27, 2024 • 1h 2min

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

Join Alex Monahan, a forward deployed software engineer at MotherDuck, as he unwraps the power of DuckDB. Discover how this in-process database is revolutionizing data workflows in Python, highlighting its blazingly fast columnar architecture and seamless cloud integration. They cover advanced CSV reader capabilities, indexing strategies, and the ease of integrating DuckDB with pandas for data analysis. Plus, learn about unique concurrency models and the accessibility of DuckDB that makes data handling a breeze for developers!
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44 snips
Dec 24, 2024 • 1h 5min

#490: Django Ninja

Vitaly Kucheryaviy, the creator of Django Ninja, dives deep into the powerful framework that melds FastAPI inspiration with Django integration. He discusses why Django developers should consider Django Ninja, especially for REST API development, highlighting its automated data validation and documentation features. Vitaly contrasts Django with other frameworks like Flask, shares his journey in Python, and emphasizes the performance and clarity benefits of static typing and type hints. He also addresses challenges with large language models, making a case for efficient API versioning.
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77 snips
Dec 20, 2024 • 1h 9min

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

Peter Wang, Co-founder of Anaconda and a key advocate for Python in enterprise, discusses the evolution and impact of Python in data science and AI. He introduces the Anaconda Toolbox for Excel, enhancing its data transformation capabilities with Python integration. The conversation delves into challenges in Python packaging, the significance of reproducibility, and the historical dominance of Excel in financial data processing. Wang also highlights new features that secure local execution of Python code in Excel, bridging the gap between data manipulation and user-friendly tools.

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