A resident shields a cat from stray dogs by locking it in a chicken coop, but discovers a full-grown python occupying the space, making the coop too full to move and turning the rescue into a tricky situation.
A 12-foot African rock python at Lake Eland Game Reserve in South Africa died about a week after swallowing a 30-pound porcupine, whose sharp quills punctured the snake’s digestive tract. The 2015 incident shows porcupines can be a dangerous prey for snakes, which can swallow large meals but may be fatally injured by quills; prior studies have documented similar injuries, and newer research discusses how snakes digest bones under certain conditions.
Security researchers uncovered DEEP#DOOR, a Python-based backdoor that embeds its payload in a dropper and gains persistence via Startup scripts, Run keys, Scheduled Tasks, and optional WMI subscriptions. It uses a Rust-based tunneling service (bore.pub) for C2 and offers full RAT capabilities—reverse shell, reconnaissance, keylogging, screen/audio capture, webcam access, and credential theft from browsers, cloud services, and Windows Credential Manager—while employing anti-analysis and defense-evasion techniques. Distribution appears phishing-based and targeted, with a modular, fileless design; it could be repurposed by different actors.
Scientists from CU Boulder and Stanford identified a python-derived gut metabolite, para‑tyramine‑O‑sulfate (pTOS), that after being tested in mice triggered weight loss through hypothalamic pathways without muscle or energy loss, suggesting a potential natural alternative to GLP‑1 weight‑loss drugs and prompting Arkana Therapeutics to pursue a synthetic version.
A first‑person guide on using ChatGPT to code and deploy a Moltbot for Moltbook. The author prompts ChatGPT to outline steps, then installs Python, creates a virtual environment, and adds libraries (requests and python-dotenv). They register the agent via Moltbook’s API, obtain an API key, claim URL, and a verification tweet, save the key in a .env file, and write Python code to check status, post updates, and fetch feeds. The piece emphasizes AI-assisted learning, clear ownership of the bot, and how such tooling lowers the barrier for non‑developers to build and verify AI agents.
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.
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.
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.
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.
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.