Originally Published 2 months ago — by Hacker News
The article discusses how UV is revolutionizing the Python ecosystem by providing faster dependency resolution, better environment management, and simplifying project setup, addressing long-standing frustrations with Python's tooling and dependency management compared to other ecosystems like npm or cargo.
A developer explains how they built a Python-based engine similar to Wolfram Mathematica, utilizing libraries like SymPy for symbolic math, NumPy, pandas, and SciPy for scientific computing, and statsmodels and Pingouin for regression analysis, making complex math more accessible and less stressful.
Originally Published 3 months ago — by Hacker News
The article discusses the mixed opinions among Python developers regarding type hints, highlighting their benefits for safety and documentation in large codebases, while also criticizing their complexity and the way they can clutter high-usage code. It compares Python's optional type hints to the evolution of TypeScript and other languages, emphasizing that while they are useful, they are not a core part of Python's philosophy, and their implementation can sometimes lead to messiness and complexity. Overall, the article reflects on the ongoing debate about static versus dynamic typing in programming languages.
Originally Published 4 months ago — by Hacker News
The article discusses the limited popularity of Python's async features despite being available for over a decade, attributing it to the maturity of alternative solutions like green threads, the complexity and bugs associated with async/await, and the preference for more explicit concurrency models in other languages like Go and Erlang. It highlights the challenges and subjective opinions around async programming, comparing it to green threads and other models, and emphasizes that while async has its uses, it is often seen as complex and less natural compared to traditional threading or green thread approaches.
Originally Published 4 months ago — by Hacker News
The article discusses the challenges and controversies surrounding Kenneth, a talented Python programmer with schizoaffective disorder, highlighting issues of mental health stigma, workplace accommodation, community dynamics, and the impact of mental illness on professional and social interactions within the tech community.
Originally Published 5 months ago — by Hacker News
The article discusses the author's experiences and opinions on Python, highlighting the use of the walrus operator for cleaner code, the quirks of variable scope especially in exception handling, and general reflections on Python's syntax and design choices, including comparisons with other languages and best practices for writing clear, maintainable code.
An Australian man was shocked to find a python in his toilet twice in one week. Hervey Bay Snake Catchers were called to remove a female coastal carpet python on October 22, which was likely soaking its skin before shedding. A few days later, a male python, possibly searching for the female, was also found in the toilet. Despite the unusual situation, the snake catchers noted that retrieving snakes from toilets, while not common, is part of their job.
The author reflects on their journey from using high-level abstractions like HTML and Flash to delving deeper into programming by learning Python and working with the Django framework. Despite initially seeking to go lower in the programming "stack," they found that Python's versatility allowed them to work at various levels of abstraction and build anything they wanted. Ultimately, they realized that the quest to de-abstract everything and reach the "bare metal" is an urge born of bygone times, and that the true essence of programming lies in the language of choice and the community where one builds their world.
Two Georgia men have been federally indicted for setting off a bomb at a woman's home and plotting to release a python to "eat" her daughter. The men face charges including stalking, conspiracy to use an explosive to commit a felony, and possession of firearms by a convicted felon. They had also planned to mail dog feces, release a snake, and scalp the victim. If convicted, they could face up to 20 years in prison for the conspiracy charge and an additional 10 years for using an explosive to commit a felony.
LinkedIn Learning is offering 250 AI courses for free for a month, allowing users to learn without needing to register or provide credit card details. The courses cover a wide range of topics, including general AI literacy, AI for recruiting, finance, and support professionals, AI for Python coders, and more. The courses are designed to help professionals improve their understanding and skills in AI, with a focus on integrating AI into various fields and leveraging generative AI.
A project using Python and Mastodon has revived pagers for modern use, allowing them to receive message alerts from Mastodon via the Decentralized Amateur Paging Network. Despite the prevalence of smartphones, this setup adds an old-school cool factor to communication and demonstrates the continued relevance of pagers in certain niche applications within the amateur radio community.
This article explains how to set up Visual Studio Code as a Python integrated development environment (IDE) on Ubuntu Linux, including installing Python and VS Code, using VS Code with Python, creating a simple "Hello" app, and running the app within the user-friendly IDE.
Google is set to introduce "Gemini Business" and "Gemini Enterprise" plans for Workspace customers, providing access to advanced AI models and enterprise-grade data protections. The plans will offer features such as Help me write, organize, and visualize, as well as the ability to edit and run Python code snippets directly from Gemini. The pricing and specific differences between the two tiers are yet to be clarified, but the new capabilities are expected to enhance learning and verification processes for both students and developers.
Computer scientist Chris Lattner is developing a new language called Mojo, aiming to combine the ease of use of Python with the performance of more complex languages like C++ or Rust. Mojo is designed to address the inefficiencies of Python in running AI processes and offers faster execution across multiple hardware platforms. It unifies the AI programming stack by providing a language with Python syntax that can run up to 35,000 times faster, particularly excelling in matrix multiplications used in neural networks. Mojo is a superset of Python, allowing existing Python code to run faster with added features like threads and static typing. While still in its early stages, Mojo has garnered interest from Python creator Guido van Rossum.
The first alpha release of Python 3.13 is now available for testing, featuring new deprecations and additions. The release includes the removal of certain functions, soft-deprecation of modules, and a deprecation warning for a specific HTTP request handler. New features include keyword support for the count argument in str.replace(), optimized AST parsing, a new copy.replace() function, and improved performance for the textwrap.indent() function. More details can be found in the Python 3.13 release notes.