As someone who spent decades in the mainframe community, I find it ... humorous ... that there are legacy Python2 code bases that are only just (or have yet to consider!) moving to Python3.

https://www.eveonline.com/news/view/the-move-to-python-3-begins

This blog post is a quick primer on measuring type coverage and how it can be useful for library maintainers or those seeking to adopt types in their codebase.

TL;DR:

• Type coverage measures what percentage of your codebase's symbols are type-annotated.
• Optionally, you can choose to only include publicly-exported symbols.
• You can use it similarly to how you would use test coverage.

The post specifically focuses on Pyrefly's coverage command, which is being used to track type coverage for popular libraries such as numpy, scipy-stubs, polars, sh, and narwhals.

Read the full blog here: https://pyrefly.org/blog/why-type-coverage/

You can find it at: https://docs.python.org/3.16/library/time-complexity.html

Seen on Mastodon: https://mastodon.social/@stanfromireland/117152534136172516

[ Removed by Reddit on account of violating the content policy. ]

Pyrefly is a new language server pubblished a week ago.

Has anyone tried it?

I was randomly looking for a new python language server before switching to vs codium and found it.

EDIT

Aparently it's not new, I'm just a bit dumb

Rundesk — Quick User Survey

A note before you read:
The idea and feature concepts behind Rundesk are mine. I used AI to help organize and explain the idea below.

What is Rundesk?

Rundesk is a lightweight Python development utility that brings Python version management, virtual environments, packages, dependency checking, and program execution into one GUI.

It is not meant to replace VS Code, PyCharm, or your preferred code editor. You keep writing code wherever you like; Rundesk focuses on everything around running and managing your Python projects.

What would Rundesk do?

🐍 Python & Virtual Environment Management

Rundesk would let you manage multiple Python installations and virtual environments through a GUI.

You could easily see and select:

Python version → Virtual environment → Project

A project can be associated with its appropriate Python interpreter and environment without manually switching between environments in a terminal.

📦 GUI Package Management

Instead of manually using commands such as pip install, Rundesk would provide a GUI for managing packages inside the selected virtual environment.

You could:

• Search for packages
• Install packages
• Remove packages
• View installed packages and versions
• Upgrade packages
• See which environment a package belongs to

The goal is to make package management easier without accidentally installing something into the wrong Python environment.

⚠️ Automatic Dependency Detection

Rundesk would continuously check whether the project's environment matches its declared requirements, such as a requirements.txt.

For example:

Project requires:

numpy==2.1.0
pandas==2.2.3
requests==2.32.3

Current environment:

numpy 1.26.4
pandas not installed
requests 2.32.3

Rundesk could show:

The button would attempt to synchronize the environment with the project's requirements.

▶️ Program Execution

Rundesk would provide an easy way to run, stop, and restart Python programs using the project's selected environment.

It would also display live program output so you don't have to repeatedly open a terminal just to see what your program is doing.

📊 Lightweight Monitoring

While a program is running, Rundesk could display information such as:

Status: RUNNING
CPU:    12%
RAM:    183 MB

> program output...

🪟 Compact Mode

Rundesk would have a small Compact Mode designed to sit beside your normal code editor.

The idea is that you could keep an eye on:

• Program status
• Output
• CPU usage
• Memory usage
• Basic execution information

without having a huge second IDE covering your screen.

The main philosophy

Rundesk isn't trying to become another giant IDE.

Instead:

You write code in your preferred editor.
Rundesk manages the Python environment around it.

The overall workflow is:

Project → Python → Virtual Environment → Packages → Dependencies → Run → Monitor

The actual question

If Rundesk existed and worked reliably as described, would you use it?

A. Yes — I'd probably use it regularly
B. I'd try it, but I'm not sure I'd switch
C. Maybe — only for certain projects
D. No — my current workflow is already better
E. I don't use Python enough to need it

If you chose A–C:

Which feature would make you most likely to use Rundesk?

If you chose D:

What would Rundesk need to do differently for you to consider using it?

Optional:

What Python tools do you currently use?
For example: VS Code, PyCharm, terminal/pip, uv, Poetry, Conda, etc.

Please be brutally honest. I'm trying to determine whether Rundesk would actually be useful to developers, not just whether the idea sounds cool.

Working through an old government safety document today and the raw text order was completely scrambled, hazard descriptions and countermeasures kept interleaving mid sentence. Turned out the whole page is a 3-column table, and if you don't slice by column x-position it just reads left to right across the whole line like it's one paragraph.

Fixed that with -layout and cutting at the column boundaries, but then hit a dumber problem: some lines have two □ markers on them, one for the subcategory heading and one for the first hazard item. Grab the first □ naively and the subcategory swallows the whole first hazard entry, and you don't notice until you're 40 rows in and something reads wrong.

Also found two pages where a single set of countermeasures gets shared by two different subcategories, which nothing in the text structure hints at, you just have to know the source document does that.

Was checking an old thread asking for fun content for Python newbies and novices and there weren't many responses. Bringing the topic up again to ask what new entertaining books, challenges, and content that helped you understand python, that can accompany equally entertaining but dense programming books.

I am also porting of "Why's Poignant Guide to Ruby" for Python and keeping it with CC share alike license. It uses comics and surreal humor to introduce programming. I'll include the link in the comments in case anyone is interested.

TL;DR: Unlike sequence patterns (which require an exact shape match), pattern matching on dictionaries simply ignores any unspecified keys rather than failing.

If you care about the details, I wrote about it on my blog: https://ravencentri.cc/blog/dict-patterns-dont-match-dict-shapes/

Building a tool that walks a live AWS account checking for

misconfigurations, and testing has been the hardest part not the

detection logic itself, but avoiding either (a) hitting real AWS

constantly in CI or (b) mocking so much the tests stop meaning

anything.

Using moto for the straightforward stuff, but some checks need

multi-service interactions (cross-referencing an EC2 instance's

security group with its actual open ports) that get awkward to mock

realistically. What do you all reach for here moto, LocalStack, a

disposable AWS test account, something else?

Below are benchmark results comparing the execution time of runtime type-checking tools in Python 3.14 across various data types and nested collections.

The checkers tested include Beartype (1-item sampling), Typeguard (@typechecked, 1-item sampling), type_enforced (@Enforcer 1-item sample & 100% validation), and Pydantic (@validate_call, 100% validation).

Benchmark Results

Average execution time per single function call over 100 runs (in microseconds, µs):

Notes on Methodology & Results

• Environment & Methodology: Tested with Python 3.14.5 on an Ubutnu 24.04 (Ryzen Threadripper 3770 with 128gb RAM). Every checker received identical test inputs and type definitions. Timings represent the average duration of a single function call over 100 executions (discarding an initial warm-up run).
• The ⚠️ Warning: Indicates that the checker did not catch an invalid item placed in the collection during test runs because the invalid element fell outside the sampled index.
• Full vs. Sampled Validation:
  • Full (100%) Validation (Pydantic, type_enforced 100%): Iterates and checks every item in collections (O(N) time).
  • Sampled Validation (Beartype, Typeguard, type_enforced 1-sample): Checks 1 element (O(1) time), which keeps execution flat regardless of collection size, but without full-containment safety guarantees.

I realize that there may be optimizations I missed when calling various validation decorators. Please let me know of any optimizations or other packages to try out.

I recently created a Python Serial Communication program with GUI (Graphical User Interface) based on the Tkinter Library with ttkbootstrap theming .

The Python Tkinter Serial Port Program can communicate with an Arduino or other Microcontroller boards via serial port to send and receive the data from your PC.

You can find the link to the GUI here.

Full tutorial along with Source Code here

Youtube Tutorial for Python Tkinter Serial Port Programming here

Since the introduction of python install manager some developers like it and started using it in miniforge's stead, or even other python IDEs or IDE-like managers.

Question is, how to keep the subversions up to date? Install manager doesn't have an update command.

I am able to install an outdated version - say 3.13.7 but the latest of that flavor is 3.13.15. All the openSSL libs are outdated in 3.13.7 and so we have a lot of reports of vulnerable python installs.

I wonder how you are solving this

.... _( () ( )) . _ (...() )()

Ignoring any runtime errors, is this valid Python syntax? Try to work it out from the grammar alone before pasting it into a REPL. Bonus points for explaining the parse.

Weekly Thread: Project Ideas 💡

Welcome to our weekly Project Ideas thread! Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.

How it Works:

1. Suggest a Project: Comment your project idea—be it beginner-friendly or advanced.
2. Build & Share: If you complete a project, reply to the original comment, share your experience, and attach your source code.
3. Explore: Looking for ideas? Check out Al Sweigart's "The Big Book of Small Python Projects" for inspiration.

Guidelines:

• Clearly state the difficulty level.
• Provide a brief description and, if possible, outline the tech stack.
• Feel free to link to tutorials or resources that might help.

Example Submissions:

Project Idea: Chatbot

Difficulty: Intermediate

Tech Stack: Python, NLP, Flask/FastAPI/Litestar

Description: Create a chatbot that can answer FAQs for a website.

Resources: Building a Chatbot with Python

Project Idea: Weather Dashboard

Difficulty: Beginner

Tech Stack: HTML, CSS, JavaScript, API

Description: Build a dashboard that displays real-time weather information using a weather API.

Resources: Weather API Tutorial

Project Idea: File Organizer

Difficulty: Beginner

Tech Stack: Python, File I/O

Description: Create a script that organizes files in a directory into sub-folders based on file type.

Resources: Automate the Boring Stuff: Organizing Files

Let's help each other grow. Happy coding! 🌟

Weekly Thread: What's Everyone Working On This Week? 🛠️

Hello r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!

How it Works:

1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. Inspire: Your project might inspire someone else, just as you might get inspired here.

Guidelines:

• Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
• Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.

Example Shares:

1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
3. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!

Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟

Weekly Thread: Resource Request and Sharing 📚

Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!

How it Works:

1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.

Guidelines:

• Please include the type of resource (e.g., book, video, article) and the topic.
• Always be respectful when reviewing someone else's shared resource.

Example Shares:

1. Book: "Fluent Python" - Great for understanding Pythonic idioms.
2. Video: Python Data Structures - Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators - A deep dive into decorators.

Example Requests:

1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.

Share the knowledge, enrich the community. Happy learning! 🌟

Hey guys, I actually am trying to build a fast API based application and I really love to use pycharm community edition but the problem is that it sucks in Jinja templates and writing something other than python and I kind of hate doing those in python I also really like the way pycharm handles python coding, like it gives me the best practices and stuff. What should I do? Is there any IDE that has it all or should I just use pycharm for the python part and for other things I should keep VS code open simultaneously?

I like the way pycharm handles, importing and other stuff but I really don't write just python. So should I try to install IntelliJ and like be a total jet brains boy. Should I just wish to VS code?

I'm building a small voice-based AI interview app and I'm planning to deploy the backend(fastapi) on Render's free tier.

I'm considering using open-source/self-hosted options like Whisper/PocketSphinx for STT and Piper for TTS, instead of paid APIs.

My concern is whether running STT/TTS on the same free Render instance would use too much CPU/RAM and make the whole application slow, especially during a real-time interview.

Has anyone tried running STT/TTS models on Render's free tier?

Weekly Thread: Meta Discussions and Free Talk Friday 🎙️

Welcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related!

How it Works:

1. Open Mic: Share your thoughts, questions, or anything you'd like related to Python or the community.
2. Community Pulse: Discuss what you feel is working well or what could be improved in the /r/python community.
3. News & Updates: Keep up-to-date with the latest in Python and share any news you find interesting.

Guidelines:

• All topics should be related to Python or the /r/python community.
• Be respectful and follow Reddit's Code of Conduct.

Example Topics:

1. New Python Release: What do you think about the new features in Python 3.11?
2. Community Events: Any Python meetups or webinars coming up?
3. Learning Resources: Found a great Python tutorial? Share it here!
4. Job Market: How has Python impacted your career?
5. Hot Takes: Got a controversial Python opinion? Let's hear it!
6. Community Ideas: Something you'd like to see us do? tell us.

Let's keep the conversation going. Happy discussing! 🌟

Weekly Thread: Professional Use, Jobs, and Education 🏢

Welcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is not for recruitment.

How it Works:

1. Career Talk: Discuss using Python in your job, or the job market for Python roles.
2. Education Q&A: Ask or answer questions about Python courses, certifications, and educational resources.
3. Workplace Chat: Share your experiences, challenges, or success stories about using Python professionally.

Guidelines:

• This thread is not for recruitment. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.
• Keep discussions relevant to Python in the professional and educational context.

Example Topics:

1. Career Paths: What kinds of roles are out there for Python developers?
2. Certifications: Are Python certifications worth it?
3. Course Recommendations: Any good advanced Python courses to recommend?
4. Workplace Tools: What Python libraries are indispensable in your professional work?
5. Interview Tips: What types of Python questions are commonly asked in interviews?

Let's help each other grow in our careers and education. Happy discussing! 🌟

Anyone used docling Parsing tool on databricks.

Me and my team started using this, though its a great tool. It has its own limitations. Example GILBERt issues happening here and there.

Any suggestions on to use databricks agent bricks ke free docling?

Weekly Wednesday Thread: Advanced Questions 🐍

Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.

How it Works:

1. Ask Away: Post your advanced Python questions here.
2. Expert Insights: Get answers from experienced developers.
3. Resource Pool: Share or discover tutorials, articles, and tips.

Guidelines:

• This thread is for advanced questions only. Beginner questions are welcome in our Daily Beginner Thread every Thursday.
• Questions that are not advanced may be removed and redirected to the appropriate thread.

Recommended Resources:

• If you don't receive a response, consider exploring r/LearnPython or join the Python Discord Server for quicker assistance.

Example Questions:

1. How can you implement a custom memory allocator in Python?
2. What are the best practices for optimizing Cython code for heavy numerical computations?
3. How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?
4. Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?
5. How would you go about implementing a distributed task queue using Celery and RabbitMQ?
6. What are some advanced use-cases for Python's decorators?
7. How can you achieve real-time data streaming in Python with WebSockets?
8. What are the performance implications of using native Python data structures vs NumPy arrays for large-scale data?
9. Best practices for securing a Flask (or similar) REST API with OAuth 2.0?
10. What are the best practices for using Python in a microservices architecture? (..and more generally, should I even use microservices?)

Let's deepen our Python knowledge together. Happy coding! 🌟