The Stack Overflow Podcast

Python: Come for the language, stay for the community

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Key takeaways

  • Paul Everett's journey with Python began as a necessity for web scripting while in the Navy, showcasing Python's early appeal.
  • Python transitioned from a perceived lesser language to being foundational for modern web applications, as seen in startups like YouTube.
  • The establishment of the Python Software Foundation and PyCon significantly contributed to community growth and diversity, promoting inclusivity.
  • While the transition from Python 2 to 3 was contentious, the influx of new data science users ultimately helped the adoption of Python 3.
  • The future of Python is being shaped by advancements in AI and inclusivity in the community, continuing its legacy of being a joy to use.

Summary

The Origins of Python and Early Community Engagement

Ryan Donovan talks with Paul Everett about his early days in software development starting as a Navy officer who stumbled upon Python in 1992 while looking for a scripting language to help with web services. They reflect on the initial perceptions of Python as merely a scripting language and the significance of its early community engagements, notably when creator Guido Van Rossum presented at a workshop in 1994. The early adopters recognized Python’s potential beyond a mere scripting language, fostering a community that valued inclusivity and collaboration.

From Scripting Language to Essential Programming Tool

Paul discusses how Python's role evolved parallel to the growth of the internet, transitioning from being seen as a 'child's toy' to a critical player in the software industry, particularly during the dot-com boom. Python became ideal for rapid prototyping and development, demonstrating its capabilities through success stories like the rise of YouTube, which showcased Python's efficiency compared to languages like C++.

The Python Software Foundation and PyCon

As the discussion moves into Python's institutional growth, they highlight the establishment of the Python Software Foundation (PSF) and its significance in organizing the community. They delve into the creation of PyCon, emphasizing how it became a financial support system for Python's development and a catalyst for networking and community diversity. The fundraising aspect allowed for investments that promoted various initiatives within the community.

The Evolution of Python: From Python 2 to Python 3

The conversation shifts to the transition from Python 2 to Python 3, which sparked frustration among users and developers. Paul explains the challenges this presented, especially for corporations that were deeply entrenched in older versions of Python. However, he notes that the influx of new users in fields like data science led to rapid adoption of Python 3, despite the initial pushback.

The Future of Python: AI and Recent Developments

Ryan and Paul discuss the recent trends in Python, particularly the booming interest in AI and how it continues to shape the language's direction. They touch on issues like the introduction of async programming, type hinting, and the implications these have on Python's community and usage. The discussion reflects on the joy found in the Python community, showcasing its inclusivity and collaborative spirit.

Sponsors

  • JetBrains · JetBrains is improving the developer experience through a rich suite of tools.

Show notes

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. 

Episode notes: 

JetBrains is improving the developer experience through a rich suite of tools. 

Connect with Paul on LinkedIn and X.

Python is the fourth most-popular language in our 2025 Developer Survey. 

From the archives: Why is the migration to Python 3 taking so long? 

Today we’re shouting out a popular Python question, Fastest way to find the least amount of subsets that sum up to the total set in Python, asked by user Shaun Han. 

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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