Movatterモバイル変換


[0]ホーム

URL:


Blog
Loading…
Stack Internal: the knowledge intelligence layer that powers enterprise AI.
Stack Data Licensing: decades of verified, technical knowledge to boost AI performance and trust.
Stack Ads: engage developers where it matters — in their daily workflow.

Subscribe to the podcast

Get The Stack Overflow Podcast at your favorite listening service.

Open-source is for the people, by the people

Travis Oliphant, creator of NumPy and SciPy, joins Ryan to explore the development of Python as a data science tool, the evolution of these foundational libraries, and the importance of community and collaboration in open-source projects, including Travis’ current work to support sustainable open-source through the OpenTeams Incubator.

Python: Come for the language, stay for the community

Ryan welcomes Paul Everitt, developer advocate at JetBrains and an early adopter of Python, to discuss the history, growth, and future of Python. They cover Python’s pivotal moments and rise alongside the internet, the increased adoption from transitions like Python 2 to Python 3, and the significant role Python plays in academia and data science today.

Spreading the gospel of Python

On this episode: Al Sweigart is a software developer, developer advocate, and author of ten Python books. He tells Ben and Ryan why he’s such a fan of the language, why it’s a great programming language for beginners, and how it became the default for so many data science and backend AI projects.

Like Python++ for AI developers

This is part two of our conversation with Chris Lattner, creator of Swift, Clang, and LLVM and CEO/cofounder of Modular AI.

How the Python team is adapting the language for an AI future (Ep. 593)

In part two of their conversation, Ben and Kyle chat with Python core developer and Steering Council member Pablo Galindo Salgado about balancing consistency and new features in language design, the importance of gathering community feedback on new iterations, and why he’s focused on making Python faster.

What it’s like to be on the Python Steering Council (Ep. 592)

Ben and senior software engineer Kyle Mitofsky talk with Pablo Galindo Salgado, a Python core developer and Python Steering Council member, about how he infiltrated software development from the world of physics, the journey from fixing typos to updating core, and the time he broke GitHub (an important developer milestone!).

Code completion isn’t magic; it just feels that way (Ep. 464)

Meredydd Lyff, founder and CEO of Anvil, joins the home team to discuss code completion: what it is and how it works, from first principles to best practices. Plus: Is 90% of biology attributable to magic gremlins?

Level Up: Mastering statistics with Python - part 5

Rather than dig into complex math or over-simplify by using a pre-written function, we'll write our own binomial test function, primarily using base Python. In the process, we'll learn more about how hypothesis testing works and build intuition for how to interpret a p-value.

Level Up: Mastering statistics with Python - part 4

While many introductory statistics classes teach the CLT, very few actually attempt to prove it because that requires some complex math. In this session, we'll bypass all that math by using Python loops to simulate the CLT.


[8]ページ先頭

©2009-2025 Movatter.jp