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Tagged “NumPy”
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PSF Elections, Revenge Coding, and DuckDB 1.0 Release
In this episode, Michael and Brian cover the upcoming Python Software Foundation elections, emphasizing the June 25th deadline for membership affirmation and candidate nominations. The hosts also discuss the severe legal consequences of 'r…
21m 59s -
Python Updates: NumPy 2.0, Uvicorn & Jupyter releases
Episode 386 of Python Bytes highlights major developments in the Python community. NumPy 2.0 is set for release on June 16th, featuring significant breaking changes and a dedicated migration guide supported by the ruff tool. Uvicorn has in…
21m 00s -
Cython 3, MicroPython News, and Python Tips
In this episode, the hosts dive into a variety of impactful Python updates and development tips. The spotlight is on the major release of Cython 3.0, which brings improved type support and better NumPy integration, and a substantial update…
35m 52s -
Python for Science, NumPy, Qt6, and GC Optimization
This episode of Python Bytes covers a wide range of topics starting with the role of Python in modern astrophysics. The discussion highlights how scientists utilize Python for image processing, model fitting, and complex cosmic simulations…
43m 25s -
Python Packaging, Query Syntax, and Apple Silicon
This episode focuses on practical developer workflows and ecosystem news. The discussion begins with PipChill for cleaner dependency management and moves into the critical break of NumPy on Windows due to OpenBLAS conflicts. The hosts expl…
30m 06s -
Awkward Arrays, Jupyter LSP, and Python Tips
In this episode, we explore the powerful, newly updated Awkward Arrays library for handling messy, nested data, which now runs on a C++ core. We also delve into the JupyterLab LSP project, which brings essential IDE-like features—such as a…
34m 18s -
Python Async, Scrum Metrics, and Pattern Matching
Episode 188 of Python Bytes explores diverse technical topics starting with Unsync, a library aiming to unify Python's convoluted concurrency models. The hosts dive into a creative fruit-based Scrum estimation scale before showcasing Math …
31m 30s -
Python Tooling, Data Science Ethics, and Deep Learning
In this episode, we dive into modern Python development, focusing on convenient CLI libraries like Typer and Clize, and production-grade configuration for uWSGI. We also explore the ethical challenges in data science, detailing a major sca…
28m 30s -
Python Updates: Friendly Tracebacks, Data Analysis & Tools
Episode 145 dives into key Python developments and community research. The discussion features Friendly Traceback, a tool designed to demystify complex error messages for students. Insights from the 2019 Pandas User Survey reveal the shift…
34m 24s -
Python Byte-Sized Updates: Flask, Async, and Testing
This episode of Python Bytes covers a variety of practical topics for Python developers. The hosts explore Quanticon, a resource for economic modeling using open-source tools. There is a detailed discussion on properly structuring Flask ap…
26m 52s -
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 Insights: Line Lengths, NumPy Trends, and Growth
This episode of Python Bytes covers a wide spectrum of the Python ecosystem, starting with a fascinating statistical analysis of code line lengths in major packages like NumPy and Scikit-Learn. The hosts delve into the strategic decision b…
22m 10s -
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 Updates: AsyncIO, Future Trends, and Desktop Apps
This episode of Python Bytes covers a variety of forward-looking and practical topics within the Python community. The hosts begin by exploring the AsyncIO coroutines through the highly recommended 500 Lines or Less project, supplemented b…
23m 39s
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