results in episodes
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Tagged “Performance”
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Python Updates: Pattern Matching, Rich CLI, and Launchers
This episode covers major developments in the Python landscape, headlined by the introduction of pattern matching in Python 3.10 and the debut of the Python Launcher for Unix. The hosts discuss the design philosophy behind pattern matching…
59m 05s -
Python Caching, TOML 1.0, and PyQtGraph Insights
This episode covers diverse topics including the performance benefits of using DiskCache to optimize Python applications via local storage, the implications of the TOML 1.0 specification release, and a deep dive into PyQtGraph for high-spe…
38m 38s -
Python Updates, Windows Compatibility, and Coding Trends
In this episode, hosts Brian Aukin and Michael Kennedy are joined by Microsoft engineer and CPython core developer Steve Dower to discuss the state of Python on Windows and key internal updates. The team explores common pain points with Py…
42m 56s -
Python Development: Speed, ORMs, Data Classes, and Migration
This episode of Python Bytes covers essential strategies for developers adjusting to remote work, focusing on community engagement by improving open-source documentation and testing. A significant portion is dedicated to technical performa…
47m 44s -
Python Ecosystem: Voila, CPython Optimization & Tooling
In this episode, we explore the launch of Voila, a tool to convert Jupyter notebooks into secure web dashboards, and discuss the contentious debate regarding the standard library's size, touching on the idea of a minimal Kernel Python. We …
30m 27s -
Python Packaging, Requests 3, and PyFlame Insights
This episode focuses on the transition toward Request 3, which aims to modernize the library with async/await support and a stricter dependency model. The guests discuss the growing intersection between Python and Rust, the utility of WebA…
24m 55s -
Python Tools for Efficiency: Dataset, PySpy, and ASGI
In this episode, we explore several essential tools aimed at increasing developer productivity and application performance. We dive into Dataset as an intuitive alternative for database interactions, and CuPy as a powerful library for hard…
23m 33s -
Python Performance, Testing, and Deployment Tools
In this episode, Michael Kennedy and Brian Atkin discuss industry news, focusing on tools to enhance Python development, testing, and execution. The conversation begins with a look at the Tenacity library for resilient retries and the Mu I…
28m 50s -
Async Libraries, Set Theory, and Python Tooling
Episode 73 of Python Bytes covers a variety of essential tools and concepts. The discussion begins with an overview of Python sets for performant data handling, moves into the async landscape with an in-depth look at the Trio library, and …
18m 35s -
Python Infrastructure, Type Hints, and Code Optimization
In this episode, Michael and Brian explore the latest in the Python community. They discuss a substantial Mozilla-funded grant to stabilize PyPI, the release of Dropbox's PyAnnotate tool for automating the generation of type hints, and upd…
18m 51s -
Python Bytes Ep 51: Policing Analytics, PyPy, and IoT
Episode 51 of Python Bytes covers a wide range of topics essential for the Python community. The hosts explore the practical application of data science in analyzing public policing records, highlighting both the power of tools like Jupyte…
21m 33s -
Python Data Structures, Concurrency, and Debugging
This episode of Python Bytes covers a wide range of topics essential for Python developers. The conversation begins with a look at LOLViz for visualizing complex data structures and Odo for efficient cross-format data migration. The hosts …
23m 21s -
Python Updates: Dash, Performance, and Packaging
In this episode, Michael and Brian explore the latest in the Python ecosystem. They feature Dash by Plotly, a powerful new tool for creating interactive web apps directly in Python. The conversation then shifts to the crucial topic of Pyth…
23m 10s -
Python Bytes: Postmodern Errors, PyPy, and AsyncIO Gains
In this episode, hosts Michael Kennedy and Brian Ocken explore the evolving landscape of Python development. Key topics include strategies for modern error prevention using type hints, named tuples, and enums, as well as the significant im…
19m 15s
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