Hackers Insert Malware Into Mistral AI Software Download
Microsoft Threat Intelligence said attackers placed malicious code inside a Mistral AI software download distributed through a Python package.
InfoWorld AI·
Only very rarely does Python add a new standard data type. Python 3.15, when it’s released later this year, will come with one—an immutable dictionary, frozendict. Dictionaries in Python correspond to hashmaps in Java. They are a way to associate keys with values. The Python dict, as it’s called, is tremendously powerful and versatile. In fact, the dict structure is used by the CPython interpreter to handle many things internally. But a dict has a big limitation: it’s not hashable. A hashable type in Python has a hash value that never changes during its lifetime. Strings, numerical values (integers and floats), and tuples are all hashable because they are immutable. Container types, like lists, sets, and, yes, dicts, are mutable, so can’t guarantee they hold the same values over time. Python has long included a frozenset type—a version of a set that doesn’t change over its lifetime and is hashable. Because sets are basically dictionaries with keys and no values, why not also have a fro
Read full articleMicrosoft Threat Intelligence said attackers placed malicious code inside a Mistral AI software download distributed through a Python package.
Time series data is common across finance, operations, engineering, and research. These five Python scripts cover the analysis tasks that come up repeatedly.
How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification The post Learning Word Vectors for Sentiment Analysis: A Python Reproduction appeared first on Towards Data Science.
For the first time, Google says it has spotted and stopped a zero-day exploit developed with AI. According to a report from Google Threat Intelligence Group (GTIG), "prominent cyber crime threat actors" were planning to use the vulnerability for a "mass exploitation event" that would have allowed them to bypass two-factor authentication on an unnamed "open-source, web-based system administration tool." Google's researchers found hints in the Python script used for the exploit that indicated help from AI, like a "hallucinated CVSS score" and "structured, textbook" formatting consistent with LLM training data. The exploit takes advantage of … Read the full story at The Verge.
Learn how to build a vector search engine from scratch in Python with embeddings, similarity scoring, and basic retrieval logic.
It’s harder than it might seem to create a stand-alone Python app. It’s also harder than you might think to reliably back up SQLite databases, but Python has the tools for it. And while it’s not easy to install Python on an air-gapped machine, it absolutely can be done. Top picks for Python readers on InfoWorld Why it’s so hard to create stand-alone Python apps Python’s dynamism is one of its most powerful features. It’s also why making stand-alone apps from Python programs is such a bear. How to back up SQLite databases the right way (not by copying them!) SQLite databases are single files, so backing them up just means copying them, right? Wrong. Make backups the proper way by using SQLite’s own backup mechanisms. Python’s new frozendict type, demonstrated A long-desired and -debated core addition to the language: a “frozen” or immutable dictionary, is coming in Python 3.15. See where it’ll be most useful in our live demo. How to set up Python on an air-gapped system Stuck working wi
In this tutorial, we explore CloakBrowser, a Python-friendly browser automation tool that uses Playwright-style APIs within a stealth Chromium environment. We begin by setting up CloakBrowser, preparing the required browser binary, and resolving the common Colab asyncio loop issue by running the sync browser workflow in a separate worker thread. We then move through practical […] The post Build a CloakBrowser Automation Workflow with Stealth Chromium, Persistent Profiles, and Browser Signal Inspection appeared first on MarkTechPost.
The first full beta of Python 3.15 has arrived, and it’s one of the most feature-packed Python releases in many a moon. Here’s a rundown of the biggest, boldest, and most important innovations, changes, and fixes. Lazy imports A long-asked for feature, lazy imports allow imports to be processed only when they’re actually used by the program. Thus for slow-importing modules that impose a large cost on a program’s startup time, you can now easily defer that cost to when the code of that module will actually be executed. You can use lazy imports explicitly using the new lazy import syntax, but you can also force code with conventional imports to behave lazily, either programmatically or by using an environment variable. This makes it easy to make existing code take advantage of this feature without tons of rewriting. Best of all, there’s no drawback to making imports lazy: they otherwise behave exactly as intended. The frozendict built-in type Only rarely does Python add a new data type,