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介紹 Agency: 使 AI 與 Go 語言無縫對接
在當今應用開發領域,類似 OpenAI API 等生成式 AI 技術的蓬勃發展正在徹底改變着應用開發的格局。Python 和 JavaScript 等語言已經擁有豐富的資源來支持這些技術,其中 LangChain 就是一個顯著的例子。然而,Go 語言開發者面臨的選擇卻相對有限。LangChainGo,作爲 LangChain 的 Go 語言版本,一直在努力與 Go 的編程理念保持一致,而 Lang ⌘ Read more

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PEP 737: Unify type name formatting
Add new convenient APIs to format type names the same way in Python and in C. No longer format type names differently depending on how types are implemented. Also, put an end to truncating type names in C. The new C API is compatible with the limited C API. ⌘ Read more

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PEP 734: Multiple Interpreters in the Stdlib
This PEP proposes to add a new module, interpreters, to support inspecting, creating, and running code in multiple interpreters in the current process. This includes Interpreter objects that represent the underlying interpreters. The module will also provide a basic Queue class for communication between interpreters. Finally, we will add a new concurrent.futures.InterpreterPoolExecutor based on the interpreters module. ⌘ Read more

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PEP 730: Adding iOS as a supported platform
This PEP proposes adding iOS as a supported platform in CPython. The initial goal is to achieve Tier 3 support for Python 3.13. This PEP describes the technical aspects of the changes that are required to support iOS. It also describes the project management concerns related to adoption of iOS as a Tier 3 platform. ⌘ Read more

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PEP 729: Typing governance process
This PEP proposes a new way to govern the Python type system: a council that is responsible for maintaining and developing the Python type system. The council will maintain a specification and conformance test suite and will initially be appointed by the Python Steering Council. ⌘ Read more

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In-reply-to » I used to be a big fan of a service called cocalc, which you could also self host. It was kind of an integrated math, data science, research, writing, and teaching platform.

@prologic@twtxt.net It was super useful if you needed to do the sorts of things it did. I’m pretty sad.

At its core was Sage, a computational mathematics system, and their own version of Jupyter notebooks. So, you could do all kinds of different math stuff in a notebook environment and share that with people. But on top of that, there was a chat system, a collaborative editing system, a course management system (so if you were teaching a class using it you could keep track of students, assignments, grades, that sort of thing), and a bunch of other stuff I never used. It all ran in a linux container with python/conda as a base, so you could also drop to a terminal, install stuff in the container, and run X11 applications in the same environment. I never taught a class with it but I used to use it semi-regularly to experiment with ideas.

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Docker Desktop 4.19: Compose v2, the Moby project, and more
Docker Desktop 4.19 includes performance enhancements, new language support, and a Moby update. Container-to-host networking performance is 5x faster on macOS, and Docker Init supports Python and Node.js. ⌘ Read more

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PEP 713: Callable Modules
Modules are currently not directly callable. Classes can define a __call__ method that makes instance objects callable, but defining a similarly named function in the global module scope has no effect, and that function can only be called by importing or referencing it directly as module.__call__. PEP 562 added support for :meth:`~object.__getattr__` and :meth:`~object.__dir__` for modules, but defining __getattr__ to return a value for __call__ still does not make a module callab … ⌘ Read more

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PEP 710: Recording the provenance of installed packages
This PEP describes a way to record the provenance of installed Python distributions. The record is created by an installer and is available to users in the form of a JSON file provenance_url.json in the .dist-info directory. The mentioned JSON file captures additional metadata to allow recording a URL to a :term:`distribution package` together with the installed distribution hash. This proposal is built on top of PEP 610 following :ref:`its corresponding canonical PyPA spec … ⌘ Read more`

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PEP 709: Inlined comprehensions
Comprehensions are currently compiled as nested functions, which provides isolation of the comprehension’s iteration variable, but is inefficient at runtime. This PEP proposes to inline list, dictionary, and set comprehensions into the function where they are defined, and provide the expected isolation by pushing/popping clashing locals on the stack. This change makes comprehensions much faster: up to 2x faster for a microbenchmark of a comprehension alone, translating to an 11% speedup for one sample … ⌘ Read more

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PEP 708: Extending the Repository API to Mitigate Dependency Confusion Attacks
Dependency confusion attacks, in which a malicious package is installed instead of the one the user expected, are an increasingly common supply chain threat. Most such attacks against Python dependencies, including the recent PyTorch incident, occur with multiple package repositories, where a dependency expected to come from one repository (e.g. a custom index) is installed from another (e.g. PyPI). ⌘ Read more

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PEP 706: Filter for tarfile.extractall
The extraction methods in :external+py3.11:mod:`tarfile` gain a filter argument, which allows rejecting files or modifying metadata as the archive is extracted. Three built-in named filters are provided, aimed at limiting features that might be surprising or dangerous. These can be used as-is, or serve as a base for custom filters. ⌘ Read more

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Gajim: Gajim 1.6.1
Gajim 1.6.1 is mostly a bug fixing release, but it also brings some important improvements and adds more convenience. Thank you for all your contributions!

What’s New

After we ported Gajim and python-nbxmpp to libsoup3, you might have noticed issues with file transfers. Now, python-nbxmpp 4.0.1 has been released, and it fixes an error which prevented transfers of files containing spaces in their file name.

Gajim s … ⌘ Read more

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PEP 703: Making the Global Interpreter Lock Optional in CPython
CPython’s global interpreter lock (“GIL”) prevents multiple threads from executing Python code at the same time. The GIL is an obstacle to using multi-core CPUs from Python efficiently. This PEP proposes adding a build configuration (–without-gil) to CPython to let it run Python code without the global interpreter lock and with the necessary changes needed to make the interpreter thread-safe. ⌘ Read more

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Gajim: Gajim 1.6.0
For Gajim 1.6.0 we ported Gajim’s and python-nbxmpp’s underlying HTTP library to libsoup3. Also, audio previews now look nicer and allow for more control (playback speed, jumping). We fixed emoji rendering on MacOS and we implemented many fixes under the hood. Thank you for all your contributions!

What’s New

For all HTTP requests (e.g. file downloads, update checks, websocket connection, …) both Gajim and python-nbxmpp rely on libsoup. With Gajim 1.6.0, we ported to libsoup3. You shou … ⌘ Read more

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PEP 701: Syntactic formalization of f-strings
This document proposes to lift some of the restrictions originally formulated in PEP 498 and to provide a formalized grammar for f-strings that can be integrated into the parser directly. The proposed syntactic formalization of f-strings will have some small side-effects on how f-strings are parsed and interpreted, allowing for a considerable number of advantages for end users and library developers, while also dramatically reducing the maintenance cost of the code dedicated to parsing f- … ⌘ Read more

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community, code, a skunk, a dog, a rabbit, and an owl

community, code, a skunk, a dog, a rabbit, and an owl

2022-11-06 13:42

i recently rewrote my project, nicethings, in
chicken scheme. it was originally in racket, but it was old, messy, redundant,
and i just like translating programs from one programming language to another
haha. originally, it was in python, back when i first got into programming,
before i rewrote it in racket.

i ended up sim … ⌘ Read more

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PEP 699: Remove private dict version field added in PEP 509
PEP 509 introduced a private ma_version_tag field for dictionaries to allow optimizations in CPython and extension libraries. This PEP proposes to rescind PEP 509 and declare the field an implementation detail, as it has already been superseded by alternatives. This will further allow the field to be reused for future optimization. ⌘ Read more

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How to Develop and Deploy a Customer Churn Prediction Model Using Python, Streamlit, and Docker
Customer churn is a million-dollar problem for businesses today. The SaaS market is becoming increasingly saturated, and customers can choose from plenty of providers. Retention and nurturing are challenging. Online businesses view customers as churn when they stop purchasing goods and services. Customer churn can depend on industry-specific factors, y … ⌘ Read more

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