Windows on BlueberryPy

[one-liner] Install OpenCode

Zeyang Lin — Mon, 29 Jun 2026 09:06:00 GMT

One-Liner series: OpenCode

Install on Linux, macOS

curl -fsSL https://opencode.ai/install | bash

Install on Windows

Install with npm

npm install -g opencode-ai

Install with chocolatey

choco install opencode

Verify installation

opencode --version

Update

opencode upgrade

[one-liner] Install Bun

Zeyang Lin — Sat, 13 Jun 2026 08:20:00 GMT

One-Liner series: Bun

source: Bun docs

Install on Linux and macOS

curl -fsSL https://bun.com/install | bash

Install on Windows (PowerShell)

powershell -c "irm bun.sh/install.ps1|iex"

Update

bun upgrade

[one-liner] Install pnpm

Zeyang Lin — Thu, 11 Jun 2026 08:20:00 GMT

One-Liner series: pnpm

source: pnpm docs

Install on POSIX systems (except Intel Macs (darwin-x64))

curl -fsSL https://get.pnpm.io/install.sh | sh -

Install on Windows (PowerShell)

Invoke-WebRequest https://get.pnpm.io/install.ps1 -UseBasicParsing | Invoke-Expression

Update

pnpm self-update

[one-liner] Install Claude Code (Native Build)

Zeyang Lin — Sun, 02 Nov 2025 08:09:00 GMT

One-Liner series: Claude Code (Native Build)

source: Claude Docs

Install on Linux/macOS/WSL

curl -fsSL https://claude.ai/install.sh | bash

Install on Windows (PowerShell)

irm https://claude.ai/install.ps1 | iex

Update

claude update

This Month for Pythonistas - April 2025

Zeyang Lin — Wed, 30 Apr 2025 07:00:00 GMT

from datetime import date

print(date.today().year, date.today().month)
# 2025 4

Welcome back and I’m glad to see you back reading the second issue of my “This month for Pythonistas” series which curates the news, articles, tutorials and more Python stuff worth noting in this April.

Before we continue, please note that this blog is synced across several platforms:

Ready? Let’s get started!

DjangoCon Europe 2025

Dublin, Ireland is the host city of this year’s DjangoCon Europe, which is held from April 23rd to 27th, 2025.

djangocon europe website

EuroPython 2025

EuroPython has announced three more Keynote Speakers: Sebastián Ramírez (Creator os FastAPI, Typer, SQLModel, etc.), Brett Cannon (Python Core Developer), and Petr Baudiš (co-founder and CTO of Rossum).

Besides, EuroPython will have a booth at PyCon US this year.

Microsoft turns 50

Like it or not, Microsoft had remarkable influence over the past decades and is still making a big impact right at the moment. In this page it celebrates its 50th anniversary by looking back at some iconic moments from the history, sharing some stories, and giving out digital goodies.

Discord server for free-threaded Python

There is a dedicated place to discuss free-threaded python on Discord now.

GvR BDFL (🤡 April Fools 🤡)

BREAKING! Guido van Rossum, the legendary creator of Python, has officially reinstated himself as Benevolent Dictator for Life (BDFL).

New versions

Python 3.13.3 & 3.12.10

It’s another month for Python version updates.

Python 3.14 Alpha 7 is out, and the first beta release is expected soon.

Python 3.13 and 3.12 receive bugfix updates:

The following versions receive only security-related fixes and no binary distributions are provided: 3.11.12, 3.10.17 and 3.9.22.

Visual Studio Code 1.99.0

VS Code joins Claude Desktop and other “AI IDEs”, having Agent Mode and MCP servers support (Preview).

A new open-source and local MCP server is introduced, allowing integration with any LLM tool supporting MCP. Read the details in Vibe coding with GitHub Copilot: Agent mode and MCP support rolling out to all VS Code users.

Update: Agent Mode is now officially turned on for everyone.

Django 5.2 LTS

This LTS version introduces new features (Automatic model imports in the shell, Composite primary keys, etc.) and deprecates some functionalities, and it will receive security updates for the next three years at least. Check its release notes.

PyTorch 2.7

This release introduces support for NVIDIA’s new Blackwell GPU architecture and ships pre-built wheels for CUDA 12.8. TorchAudio is updated to 2.7.0 and TorchVision is 0.22.0.

Ubuntu 25.04, Fedora 42, MX 23.6 and Manjaro 25.0

It seems like a big month for Linux distros since several popular distro have major/minor updates:

Ubuntu 25.04 “Plucky Puffin” introduces Linux 6.14 kernel, GNOME 48, and offers 9 months of support.
Fedora 42 promotes KDE Plasma variation to “Full Edition”.
MX Linux is a regular refresh containing bugfixes, kernel updates, and application updates.
Manjaro 25.0 “Zetar” brings various updates to different desktop environment editions.

Tutorials

Deeplearning.ai’s Vibe Coding 101 with Replit from replit

Take your own discretion on “Vibe Coding” (there’s an article about it below), but here’s a hands-on tutorial on deeplearning.ai.

You’ll use Replit’s cloud environment— with an integrated code editor, package manager, and deployment tools—to build and deploy two web applications with the help of an AI coding agent. Along the way, you’ll learn strategies for working effectively with agents and improve your development skills in the process.

Deeplearning.ai’s Getting Structured LLM Output from DotTxt

You’ll gain a fundamental understanding of structured outputs and learn efficient ways to generate outputs in your defined schema or format.

Deeplearning.ai’s Building AI Browser Agents from AGI Inc.

Learn the fundamentals of autonomous web agents, what they are, how they work, their limitations, and the decision-making strategies taken to optimize their performance.

Deeplearning.ai’s Building Code Agents with Hugging Face smolagents from HuggingFace

Understand the architecture and benefits of code agents that write code to perform tasks, compare them to traditional tool-calling agents, and learn when to use each approach.

RealPython’s Introducing DuckDB

The tutorial will equip you with the practical knowledge necessary to get started with DuckDB, including its Online Analytical Processing (OLAP) features, which enable fast access to data through query optimization and buffering.

freeCodeCamp.org’s Code DeepSeek V3 From Scratch in Python

This is a nearly-4-hours Youtube video tutorial brought by freeCodeCamp.

HuggingFace’s Agents Course

A series of tutorials introducing various aspects of AI Agents.

Articles

Python’s new t-strings

PEP 750 – Template Strings is accepted. This PEP introduces template strings which are a generalization of f-strings. Putting a t before a string template would keep it from being evaluated as a normal string but make it an instance of a new type Template.

In his blog, Dave introduces the motivation behind this PEP and shows how to play with it.

PEP 751 – A file format to record Python dependencies for installation reproducibility

PEP 751 is accepted. This PEP proposes a standard for the format of a file recording the requirements/dependencies of a Python project (ie. a lock file but standardized, agreed across the whole community).

Update:

pip 25.1+ adds experimental pip lock command:

pip lock -r .\requirements.txt --output pylock.toml

uv 0.6.15+ adds support through uv export command:

uv export --format pylock.toml --output-file pylock.toml

pdm 2.24+ also supports exporting to pylock.toml:

pdm export --format pylock --output pylock.toml

Share Python Scripts Like a Pro: uv and PEP 723 for Easy Deployment

Sharing single-file Python scripts with external dependencies is now easy thanks to uv and PEP 723, which enable embedding dependency metadata directly within scripts.

Case Study: Developing and Testing Python Packages with uv

This article highlights the simplicity of initializing a project with uv, which sets up essential files like pyproject.toml, README.md, and folder structures. This allows developers to manage dependencies effortlessly and set up virtual environments. It emphasizes the convenience of editable installations, enabling instant updates to package code without needing reinstallation.

The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation

Meta has introduced Llama 4, its latest suite of multimodal AI models including “Llama 4 Scout” and “Llama 4 Maverick”, offering significant advancements in personalized AI experiences. Both models utilize a mixture-of-experts (MoE) architecture, allowing efficient use of parameters: Maverick has 17 billion active parameters with 128 experts, while Scout offers a remarkable context length of 10 million tokens. “Llama 4 Behemoth”, a larger model with 288 billion parameters, serves as a teacher for the others, enhancing their capabilities.

Agent Development Kit: Making it easy to build multi-agent applications

Google brings its own agent-building solution by announcing open-source framework Agent Development Kit (ADK) at Google Cloud NEXT 2025, additionally it introduces Agent2Agent (A2A) protocol, Agent Engine as well as Agent Garden.

Introducing GPT-4.1 in the API

GPT‑4.1, GPT‑4.1 mini, and GPT‑4.1 nano are available through OpenAI’s API service. These new models appear to focus mainly on coding and instruction following.

Update: They are also available through Github Models.

Introducing OpenAI o3 and o4-mini

OpenAI then release o3 and o4-mini of the o-series models, claiming they are their “smartest” models to date.

The role of developer skills in agentic coding

This article discusses the role of developer skills in agentic coding with AI assistants. The author categorizes AI missteps into three impact radius: time to commit, team flow, and long-term maintainability. The article emphasizes the need for developer oversight, caution against “good enough” solutions, and the importance of code quality practices and team communication.

MCP (Model Context Protocol): Simply explained in 5 minutes

Model Context Protocol is a way for LLMs to integrate with external tools. It is useful as it makes LLMs act more like developers. Behind the scenes, providers create MCP-compliant wrappers. Resources for MCP are also provided.

MCP - It’s Hot, But Will It Win?

In the author’s point of view, while MCP is popular, its success is uncertain. Middleware like MCP often fails to live up to expectations. It may face issues such as monetization problems if widely adopted or exclusion by a key platform. Vendors may lose interest due to market realities.

The “S” in MCP stands for Security

Despite its benefits, such as standardized APIs and persistent sessions, MCP has significant security risks. These risks include potential side-channels into shells, secrets, or infrastructure when agents are connected to arbitrary servers without proper security measures. The author emphasizes the need for better security in MCP to prevent these vulnerabilities.

MCP vs. A2A: Friends or Foes?

MCP standardizes how applications integrate with large language models (LLMs), while A2A facilitates communication between agents across different systems. Although MCP currently excels in establishing context for LLMs, it lacks essential features like security and task management, which A2A addresses. As both protocols evolve, their roles may intertwine, but A2A appears poised for dominance in inter-agent communication, potentially overshadowing MCP’s relevance in the future.

Git turns 20: A Q&A with Linus Torvalds

To celebrate two decades of Git, the author sat down with Linus himself to revisit those early days, explore the key design decisions behind Git’s lasting success, and discuss how it forever changed software development. The full video interview is also included in the blog.

Karpathy’s ‘Vibe Coding’ Movement Considered Harmful

The author argues that Karpathy’s “vibe coding” is harmful. It leads to hidden costs, exponential technical debt, and security risks. A better approach is to use AI with a clear vision, break down AI-generated code, provide context, test thoroughly, and review code to maintain understanding.

Training and Finetuning Reranker Models with Sentence Transformers v4

In this blogpost, the author shows how to use sentence-transformers to finetune a reranker model that beats all existing options on exactly your data. This method can also train extremely strong new reranker models from scratch.

Podcasts

🥝 core.py

Episode 21: A Garbage Episode

🐍 RealPython Podcast

🥧 Python Bytes Podcast

🦜 Talk Python to me

🍕 Pybites Podcast

Repositories

Have time for some fun?

Nintendo Switch 2 has a launch date

Nintendo reveals in their “Direct” livestream event that Switch 2 is available on June 5th, 2025 worldwide with starting price ~$449.99 outside Japan (multi-language version) and a much lower price inside Japan (Japanese-only version). Read more about it on their official website.

Clair Obscur: Expedition 33 sets sail on April 24th

In this dark fantasy RPG inspired by JRPG and Soul-like games and made by a small French team “Sandfall Interactive”, players will explore the mysterious city of Lumière and engage in immersive turn-based battles with unique mechanics. After playing it for around 30 hours I must say I really enjoyed the visual style and the rewarding action part in the battles. Check their official website for more info.

Alright, that concludes the second issue of “This Month of Pythonistas”. Thank you again for reading my post. I hope you enjoy it or find something useful, and see you in May!

This Month for Pythonistas - March 2025

Zeyang Lin — Mon, 31 Mar 2025 07:00:00 GMT

from datetime import date

print(date.today().year, date.today().month)
# 2025 3

Welcome and thank you for reading This Month for Pythonistas, a monthly update dedicated to Python developers, professionals, and hobbyists.

In this inaugural issue, I would like to compile a list of news, articles, repositories, and tools worth noting in March 2025, as well as other fun stuff that may not necessarily be bound to Python community.

Before we continue, please note that this blog is synced across several platforms:

Ready? Let’s get started!

EuroPython 2025 Updates

EuroPython 2025 stays in Prague, Czech Republic (which makes Prague the host city three years in a row!), and the ticket sales start this month.

Python Core Developer Savannah Ostrowski is going to be one of the keynote speakers this year.

Get to know more in their blog.

New versions

`ipython` 9.0.2

The first major version update in three years! Check it out on pypi.

`dify` v1.1.3

This major update (v1) brings a plugin system, a new Agent node in workflow, “Extenstion”, “Dify Marketplace”, and more!

Check this particular release on github.

Tutorials

Deeplearning.ai’s Event-Driven Agentic Document Workflows from LlamaIndex

Build an event-driven agentic workflow that parses forms, retrieves relevant information from a source document using RAG, and returns answers to the form’s fields as structured outputs.

Deeplearning.ai’s Long-Term Agentic Memory with LangGraph from LangChain

Build a personal email agent with routing, writing, scheduling tools to automatically ignore, respond to, or notify about incoming emails.

RealPython’s LangGraph: Build Stateful AI Agents in Python

Here is another tutorial regarding LangGraph.

Explore the full tutorial to gain hands-on experience with LangGraph, including setting up workflows and building a LangGraph agent that can autonomously parse emails, send emails, and interact with API services.

RealPython’s Python’s Instance, Class, and Static Methods Demystified

Instance, class, and static methods each serve a distinct role in Python, and knowing when to use one over another is key to writing clean, maintainable code. Instance methods operate on individual objects using self, while class methods use cls to access class-level data. Static methods, on the other hand, provide organizational structure without relying on class or instance state.

RealPython’s Python Code Quality: Best Practices and Tools

In this tutorial, you’ll learn about code quality and the key factors that make Python code high-quality. You’ll explore effective strategies, powerful tools, and best practices to elevate your code to the next level.

Articles

Performance of the Python 3.14 tail-call interpreter

The CPython project’s new tail-call interpreter initially showed a 10 - 15% performance boost. However, the author found this was mainly due to an LLVM 19 regression. When benchmarked against better baselines, the gain dropped to 1 - 5%. The LLVM 19 regression affected the bytecode interpreter’s optimization. Also, the “computed goto” approach might be unnecessary for modern Clang.

New tools for building agents

OpenAI introduces their new approach on building agents systems: the new Responses API which would replace Assistants API, a new Python SDK as a agents framework, and more.

Google’s Gemma 3

Latest iteration of Google’s open-weight LLM includes four sizes from small to medium: 1B, 4B, 12B, and 27B. Here’s the technical report.

Mistral Small 3.1

Mistral releases its newest “small” (24B) multi-modal, multilingual LLM, claiming it “outperforms comparable models like Gemma 3 and GPT-4o Mini, while delivering inference speeds of 150 tokens per second”.

Its “instruct” variation’s weight is obtainable from HuggingFace.

A Deep Dive Into MCP and the Future of AI Tooling

This article delves into the Model Context Protocol (MCP), an open protocol aiming to standardize AI model interactions with tools. Inspired by LSP, MCP supports autonomous AI workflows and human-in-the-loop operations. It has various use cases in dev-centric workflows and net-new experiences. However, the MCP ecosystem is in its early stage, facing challenges like authentication, authorization, and server discoverability. If these issues are resolved, MCP could reshape AI-tool interactions, leading to new pricing models, hosting modes, and a shift in tool development and consumption.

Introducing KBLaM: Bringing plug-and-play external knowledge to LLMs

KBLaM is a new approach to integrate structured knowledge bases into pre-trained LLMs. Traditional methods like fine-tuning and RAG have drawbacks, and in-context learning has computational issues. KBLaM converts knowledge bases into continuous key-value vector pairs and uses rectangular attention for efficient integration. It’s scalable, with linear cost and dynamic updates. KBLaM also enhances interpretability and reliability, reducing hallucinations. It paves the way for more reliable AI systems in critical fields.

Podcasts

🥝 core.py

🐍 RealPython Podcast

🥧 Python Bytes Podcast

🦜 Talk Python to me

🍕 Pybites Podcast

Tools

Warp on Windows

Warp is one of my favorite new toys in year 2024, and now it comes to Windows platform. Check their blog!

Cherry Studio 1.1.10

Cherry Studio catches quite a lot of eyes recently, and it just reaches 1.0 not too long ago. official download

Repositories

`lmstudio-python` (MIT)

I personally have been using LM Studio for roughly one year, and this lmstudio-python (alongside lmstudio-js for JavaScript) is their official SDK with which you can easily manage the models, conversations and more using pure Python code. They have documentations too: docs.

The source code is hosted on github.

`openai-agents-python` (MIT)

OpenAI’s latest contribution to open-source includes this framework for creating multi-agent workflows. This is also among the new toys from OpenAI which I mentioned earlier in this issue.

The source code is on github, and the documentation too.

Update: The Agents SDK has support for MCP, which means you can now connect MCP servers to Agents.

`smolagents` (Apache-2.0)

Another light-weight (“smol”) framework which helps you build AI agents, brought by the HuggingFace team.

Here’s the repostitory

`DeepSeek-V3-0324`

The is an updated version of V3, released just this March. The weights can be found on HuggingFace

`Qwen2.5-Omni-7B`

Qwen team has released their version of “omni” model on HuggingFace.

Have time for some fun?

Command & Conquer games go open-source

Despite their infamous and disastrous management on this beloved franchise, EA chose to open-source some of the classic C&C games on github, potentially enriching the Modding community support.

Here are the repositories (Mostly C++, plus some C, Assembly and others; under GNU GPL v3):

Death Stranding 2: On the Beach (finally) has a launch date

It would be on the shelves on June 26th (or 24th for Deluxe Edition owners), 2025 for Playstation only (… for a while at least), and the pre-order starts March 17th.

The price starts from 69.99 USD, 79.99 EUR, 568 HKD or 8,980 JPY.

More details can be found in this playstation blog.

StarCraft goes to tabletop

In their blog, Archon Studio announced an official partnership with Blizzard Entertainment, launching a StarCraft tabletop miniatures game in 2026, followed by board games set in the StarCraft universe in 2027.

More details, like miniature previews and gameplay mechanics, will be revealed later in 2025.

Alright, that concludes the very first issue of “This Month of Pythonistas”. Thank you again for reading my post. I hope you enjoy it or find something useful, and see you in April!

UV is the latest attempt to rule All Python tools

Zeyang Lin — Wed, 21 Feb 2024 07:23:13 GMT

In short, uv is a command line tool written in Rust for Python developers, which aims to be “a comprehensive project and package manager that is extremely fast, reliable, and easy to use”.

If you are still interested, I hope you can spend a couple of minutes so that I can give you a quick tour of it.

Quick fact sheet

language: Rust

version: 0.1.13 (at the time of updating this post)

repo: github (6k stars)

pypi: pypi

docs: N/A

supported python versions: 3.8 through 3.12 (inclusive)

supported os: Windows, Linux, MacOS

Drop-in replacement for pip and more

uv is from the creator of ruff, Charlie Marsh and astralsh.

ruff, the linting and formating tool written is Rust as well, has already gain fame and popularity during the past year or so, and I believe many of Python developers have been using it for quite a while.

And uv is no doubt their next step in improving the Python toolchain eco.

Although you can easily install uv using pip or pipx just like any other Python tool, essentially it does not rely on your Python interpreter to be installed.

It provides just the binary executable and you can get it easily by running the quick script following the insructions in its git repo. And that’s it, no Python or Rust runtime required till this point.

Creating a virtual environment is now as easy as uv venv, though you now need at least one Python interpreter ready to make it work.

The virtual env it creates is just a standard Python venv, except it does not include pip by default (however if you need pip, you can let it be included by using an extra flag, or you could install it manually anytime after).

Some of your daily commands can then be like (but faster):

uv pip install -r requirements.txt
uv pip install black==24.2.0
uv pip compile pyprojects.toml -o requirements.txt

Fast in deed

Just like ruff is known as being an extremely fast linter, uv’s speed is also impressive.

Here is a short requirements.txt from one of my repos:

fastapi==0.109.2
pydantic[email]==2.6.1
python-multipart==0.0.9
uvicorn[standard]==0.27.1

coverage>=7.4.0
httpx>=0.26.0
memray>=1.11.0
pytest>=8.0.0

And I gave uv a try using github actions. The result on ubuntu-latest with Python 3.12 looks like this

> Run uv pip install -r requirements.dev.txt
Resolved 40 packages in 185ms
Downloaded 40 packages in 268ms
Installed 40 packages in 24ms
 + annotated-types==0.6.0
 + anyio==4.3.0
 + certifi==2024.2.2
 + click==8.1.7
 + coverage==7.4.2
 + dnspython==2.6.1
 + email-validator==2.1.0.post1
 + fastapi==0.109.2
 + h11==0.14.0
 + httpcore==1.0.3
 + httptools==0.6.1
 + httpx==0.26.0
 + idna==3.6
 + iniconfig==2.0.0
 + jinja2==3.1.3
 + linkify-it-py==2.0.3
 + markdown-it-py==3.0.0
 + markupsafe==2.1.5
 + mdit-py-plugins==0.4.0
 + mdurl==0.1.2
 + memray==1.11.0
 + packaging==23.2
 + pluggy==1.4.0
 + pydantic==2.6.1
 + pydantic-core==2.16.2
 + pygments==2.17.2
 + pytest==8.0.1
 + python-dotenv==1.0.1
 + python-multipart==0.0.9
 + pyyaml==6.0.1
 + rich==13.7.0
 + sniffio==1.3.0
 + starlette==0.36.3
 + textual==0.52.1
 + typing-extensions==4.9.0
 + uc-micro-py==1.0.3
 + uvicorn==0.27.1
 + uvloop==0.19.0
 + watchfiles==0.21.0
 + websockets==12.0

As you can see, this process, including solving the dependencies, downloading them and installing them, took just less than half a second!

Features in need

uv’s vision, according to the blog, is

a single binary that bootstraps your Python installation and gives you everything you need to be productive with Python, bundling not only pip, pip-tools, and virtualenv, but also pipx, tox, poetry, pyenv, ruff, and more.

And appearantly at the current point, it is still quite far away from that.

The only two major top-level sub-commands the cli currently supports are

venv
pip
cache

It thus can only create a virtual environment, install dependencies into it and outputs a “lock” file, etc.

I want it to list installed packages, or run commands using the interpreter inside the virtual env, just like what poetry is capable of right now.

Not to mention that it cannot run tests, switch virtual environments or lint source files.

But it’s still in its early age, and the pace is like one patch version every couple of days, isn’t it?

What about Rye

The ambitions of uv share a lot with those from Rye, a tool (which happens to be written in Rust as well) created by Armin Ronacher, the creator of Flask.

What’s more, the team behind uv, astralsh, is actually taking over the dev work of Rye according to their blog, and ultimately going to migrate Rye to uv in the future.

We saw this as a rare opportunity to team up, and to avoid fragmenting the Python ecosystem. As such, in collaboration with Armin, we’re excited to be taking over Rye. Our goal is to evolve uv into a production-ready “Cargo for Python”, and to provide a smooth migration path from Rye to uv when the time is right.

Some thoughts

The name uv seems not relevant to libuv, uvloop or uvicorn.

Maybe it’s short for “universal/ultimate/unified virtualenv manager”?

The dedicated docs pages of uv are not present at the time of writing, which is a pitty.

Windows on BlueberryPy

[one-liner] Install OpenCode

One-Liner series: OpenCode

Install on Linux, macOS

Install on Windows

Install with npm

Install with chocolatey

Verify installation

Update

[one-liner] Install Bun

One-Liner series: Bun

Install on Linux and macOS

Install on Windows (PowerShell)

Update

[one-liner] Install pnpm

One-Liner series: pnpm

Install on POSIX systems (except Intel Macs (darwin-x64))

Install on Windows (PowerShell)

Update

[one-liner] Install Claude Code (Native Build)

One-Liner series: Claude Code (Native Build)

Install on Linux/macOS/WSL

Install on Windows (PowerShell)

Update

This Month for Pythonistas - April 2025

Events & Social

DjangoCon Europe 2025

EuroPython 2025

Microsoft turns 50

Discord server for free-threaded Python

GvR BDFL (🤡 April Fools 🤡)

New versions

Python 3.13.3 & 3.12.10

Visual Studio Code 1.99.0

Django 5.2 LTS

PyTorch 2.7

Ubuntu 25.04, Fedora 42, MX 23.6 and Manjaro 25.0

Tutorials

Articles

Podcasts

🥝 core.py

🐍 RealPython Podcast

🥧 Python Bytes Podcast

🦜 Talk Python to me

🍕 Pybites Podcast

Repositories

google/adk-python (Apache-2.0)

awslabs/mcp (Apache-2.0)

github-mcp-server (MIT)

InternVL3-78B

moonshotai/Kimi-VL-A3B-Thinking

THUDM/GLM-Z1-32B-0414

Qwen 3

Have time for some fun?

Nintendo Switch 2 has a launch date

Clair Obscur: Expedition 33 sets sail on April 24th

This Month for Pythonistas - March 2025

Events & Social

EuroPython 2025 Updates

New versions

ipython 9.0.2

dify v1.1.3

Tutorials

Articles

Podcasts

🥝 core.py

🐍 RealPython Podcast

🥧 Python Bytes Podcast

🦜 Talk Python to me

🍕 Pybites Podcast

Tools

Warp on Windows

Cherry Studio 1.1.10

Repositories

lmstudio-python (MIT)

openai-agents-python (MIT)

smolagents (Apache-2.0)

DeepSeek-V3-0324

Qwen2.5-Omni-7B

Have time for some fun?

`google/adk-python` (Apache-2.0)

`awslabs/mcp` (Apache-2.0)

`github-mcp-server` (MIT)

`InternVL3-78B`

`moonshotai/Kimi-VL-A3B-Thinking`

`THUDM/GLM-Z1-32B-0414`

`Qwen 3`

`ipython` 9.0.2

`dify` v1.1.3

`lmstudio-python` (MIT)

`openai-agents-python` (MIT)

`smolagents` (Apache-2.0)

`DeepSeek-V3-0324`

`Qwen2.5-Omni-7B`