Paid Bug Fix Opportunity for LBRY Project (USD) — Python Developers Wanted
Hi r/Python,
I'm posting to help the LBRY Foundation, a non-profit supporting the decentralized digital content protocol LBRY.
We're currently looking for experienced Python developers to help resolve a specific bug in the LBRY Hub codebase. This is a paid opportunity (USD), and we’re open to discussing future, ongoing development work with contributors who demonstrate quality work and reliability.
Project Overview:
Project Type: Bug fix for LBRY’s open-source Python hub codebase
What the LBRY Project Does: LBRY is a decentralized and user-controlled media platform
Language: Python
Repo: https://github.com/LBRYFoundation/hub
Payment: USD (details negotiated individually)
Target Audience: Current and future users of the LBRY desktop app
Comparison: Unlike traditional media platforms like YouTube or Vimeo, LBRY is a fully decentralized, open-source protocol that gives users and creators full ownership and control over their content. Contributing to LBRY means working on infrastructure that supports freedom of speech, censorship resistance, and user empowerment—values not typically prioritized in centralized alternatives. This opportunity offers developers a chance to impact a real, live network of users while working transparently in the open-source space.
Communication: You can reply here or reach out via LBRY’s ‘Developers’ Channel on Discord
We welcome bids from contributors who are passionate about open-source and decentralization. Please comment below or connect on Discord if you’re interested or have questions!
/r/Python
https://redd.it/1kmrd8o
Hi r/Python,
I'm posting to help the LBRY Foundation, a non-profit supporting the decentralized digital content protocol LBRY.
We're currently looking for experienced Python developers to help resolve a specific bug in the LBRY Hub codebase. This is a paid opportunity (USD), and we’re open to discussing future, ongoing development work with contributors who demonstrate quality work and reliability.
Project Overview:
Project Type: Bug fix for LBRY’s open-source Python hub codebase
What the LBRY Project Does: LBRY is a decentralized and user-controlled media platform
Language: Python
Repo: https://github.com/LBRYFoundation/hub
Payment: USD (details negotiated individually)
Target Audience: Current and future users of the LBRY desktop app
Comparison: Unlike traditional media platforms like YouTube or Vimeo, LBRY is a fully decentralized, open-source protocol that gives users and creators full ownership and control over their content. Contributing to LBRY means working on infrastructure that supports freedom of speech, censorship resistance, and user empowerment—values not typically prioritized in centralized alternatives. This opportunity offers developers a chance to impact a real, live network of users while working transparently in the open-source space.
Communication: You can reply here or reach out via LBRY’s ‘Developers’ Channel on Discord
We welcome bids from contributors who are passionate about open-source and decentralization. Please comment below or connect on Discord if you’re interested or have questions!
/r/Python
https://redd.it/1kmrd8o
Reddit
Python
The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language.
---
If you have questions or are new to Python use r/LearnPython
---
If you have questions or are new to Python use r/LearnPython
Seeking Guidance on Enterprise-Level Auth in Flask: Role-Based Access & Best Practices
Hello, I’m building an enterprise application that requires robust authentication/authorization (user roles, permissions, etc.). I’ve used Flask-Login for basic auth, but I’m struggling to implement scalable role-based access control (RBAC) for admins, managers, and end-users.
For the experts:
1. What approach would you recommend for enterprise-grade auth in Flask?
- How do you structure roles/permissions at scale (e.g., database design)?
2. What are critical security practices for production ?
3. Resources: Are there tutorials, books, or open-source projects that demonstrate professional Flask auth workflows?
Current Setup:
- Flask-Login (basic sessions)
- SQLAlchemy for user models
Any advice or war stories from real-world projects would be invaluable!
TL;DR: Need advice/resources for enterprise auth in Flask: role-based access, security best practices, and scaling beyond Flask-Login.
/r/flask
https://redd.it/1kmmfdf
Hello, I’m building an enterprise application that requires robust authentication/authorization (user roles, permissions, etc.). I’ve used Flask-Login for basic auth, but I’m struggling to implement scalable role-based access control (RBAC) for admins, managers, and end-users.
For the experts:
1. What approach would you recommend for enterprise-grade auth in Flask?
- How do you structure roles/permissions at scale (e.g., database design)?
2. What are critical security practices for production ?
3. Resources: Are there tutorials, books, or open-source projects that demonstrate professional Flask auth workflows?
Current Setup:
- Flask-Login (basic sessions)
- SQLAlchemy for user models
Any advice or war stories from real-world projects would be invaluable!
TL;DR: Need advice/resources for enterprise auth in Flask: role-based access, security best practices, and scaling beyond Flask-Login.
/r/flask
https://redd.it/1kmmfdf
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
D Rejected a Solid Offer Waiting for My 'Dream Job'
I recently earned my PhD from the UK and moved to the US on a talent visa (EB1). In February, I began actively applying for jobs. After over 100 applications, I finally landed three online interviews. One of those roles was a well-known company within driving distance of where I currently live—this made it my top choice. I’ve got kid who is already settled in school here, and I genuinely like the area.
Around the same time, I received an offer from a company in another state. However, I decided to hold off on accepting it because I was still in the final stages with the local company. I informed them that I had another offer on the table, but they said I was still under serious consideration and invited me for an on-site interview.
The visit went well. I confidently answered all the AI/ML questions they asked. Afterward, the hiring manager gave me a full office tour. I saw all the "green flags" that Chip Huyen mentions in her ML interview book: told this would be my desk, showed all the office amenities, etc. I was even the first candidate they brought on site. All of this made me feel optimistic—maybe
/r/MachineLearning
https://redd.it/1kmpzpy
I recently earned my PhD from the UK and moved to the US on a talent visa (EB1). In February, I began actively applying for jobs. After over 100 applications, I finally landed three online interviews. One of those roles was a well-known company within driving distance of where I currently live—this made it my top choice. I’ve got kid who is already settled in school here, and I genuinely like the area.
Around the same time, I received an offer from a company in another state. However, I decided to hold off on accepting it because I was still in the final stages with the local company. I informed them that I had another offer on the table, but they said I was still under serious consideration and invited me for an on-site interview.
The visit went well. I confidently answered all the AI/ML questions they asked. Afterward, the hiring manager gave me a full office tour. I saw all the "green flags" that Chip Huyen mentions in her ML interview book: told this would be my desk, showed all the office amenities, etc. I was even the first candidate they brought on site. All of this made me feel optimistic—maybe
/r/MachineLearning
https://redd.it/1kmpzpy
Reddit
From the MachineLearning community on Reddit
Explore this post and more from the MachineLearning community
Thursday Daily Thread: Python Careers, Courses, and Furthering Education!
# 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! 🌟
/r/Python
https://redd.it/1kmufcq
# 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! 🌟
/r/Python
https://redd.it/1kmufcq
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Microsoft layoffs hit Faster CPython team - including the Technical Lead, Mark Shannon
From Brett Cannon:
> There were layoffs at MS yesterday and 3 Python core devs from the Faster CPython team were caught in them.
> Eric Snow, Irit Katriel, Mark Shannon
IIRC Mark Shannon started the Faster CPython project, and he was its Technical Lead.
/r/Python
https://redd.it/1kmwdbu
From Brett Cannon:
> There were layoffs at MS yesterday and 3 Python core devs from the Faster CPython team were caught in them.
> Eric Snow, Irit Katriel, Mark Shannon
IIRC Mark Shannon started the Faster CPython project, and he was its Technical Lead.
/r/Python
https://redd.it/1kmwdbu
Bluesky Social
Brett Cannon (@snarky.ca)
There were layoffs at MS yesterday and 3 #Python core devs from the Faster CPython team were caught in them. If you know of any jobs, please send them their way:
Eric Snow: https://www.linkedin.com/in/ericsnowcurrently/
Irit Katriel: https://www.linkedin.com/in/irit…
Eric Snow: https://www.linkedin.com/in/ericsnowcurrently/
Irit Katriel: https://www.linkedin.com/in/irit…
Blame as a Service: Open-source for Blaming Others
Blame-as-a-Service (BaaS) : When your mistakes are too mainstream.
Your open-source API for blaming others.
😀
https://github.com/sbmagar13/blame-as-a-service
/r/Python
https://redd.it/1kmxawf
Blame-as-a-Service (BaaS) : When your mistakes are too mainstream.
Your open-source API for blaming others.
😀
https://github.com/sbmagar13/blame-as-a-service
/r/Python
https://redd.it/1kmxawf
GitHub
GitHub - sbmagar13/blame-as-a-service: An API that helps you blame others professionally. Perfect for developers, managers, and…
An API that helps you blame others professionally. Perfect for developers, managers, and anyone avoiding responsibility. - sbmagar13/blame-as-a-service
Query and Eval for Python Polars
I am a longtime pandas user. I hate typing when it comes to slicing and dicing the dataframe. Pandas query and eval come to the rescue.
On the other hand, pandas suffers from the performance and memory issue as many people have discussed. Fortunately, Polars comes to the rescue. I really enjoy all the performance improvements and the lazy frame just makes it possible to handle large dataset with a 32G memory PC.
However, with all the good things about Polars, I still miss the query and eval function of pandas, especially when it comes to data exploration. I just don’t like typing so many pl.col in a chained conditions or pl.when otherwise in nested conditions.
Without much luck with existing solutions, I implemented my own version of query, eval among other things. The idea is using lark to define a set of grammars so that it can parse any string expressions to polars expression.
For example,
“1 < a <= 3” is translated to (pl.col(‘a’)> 1) & (pl.col(‘a’)<=3), “a.sum().over(‘b’)” is translated to pl.col(‘a’).sum().over(‘b’), “ a in @A” where A is a list, is translated to pl.col(‘a’).isin(A), “‘2010-01-01’ <= date < ‘2019-10-01’” is translated accordingly for date time columns. For my
/r/Python
https://redd.it/1kmy3xm
I am a longtime pandas user. I hate typing when it comes to slicing and dicing the dataframe. Pandas query and eval come to the rescue.
On the other hand, pandas suffers from the performance and memory issue as many people have discussed. Fortunately, Polars comes to the rescue. I really enjoy all the performance improvements and the lazy frame just makes it possible to handle large dataset with a 32G memory PC.
However, with all the good things about Polars, I still miss the query and eval function of pandas, especially when it comes to data exploration. I just don’t like typing so many pl.col in a chained conditions or pl.when otherwise in nested conditions.
Without much luck with existing solutions, I implemented my own version of query, eval among other things. The idea is using lark to define a set of grammars so that it can parse any string expressions to polars expression.
For example,
“1 < a <= 3” is translated to (pl.col(‘a’)> 1) & (pl.col(‘a’)<=3), “a.sum().over(‘b’)” is translated to pl.col(‘a’).sum().over(‘b’), “ a in @A” where A is a list, is translated to pl.col(‘a’).isin(A), “‘2010-01-01’ <= date < ‘2019-10-01’” is translated accordingly for date time columns. For my
/r/Python
https://redd.it/1kmy3xm
Reddit
From the Python community on Reddit
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Refinedoc - Little text processing lib
Hello everyone!
I'm here to present my latest little project, which I developed as part of a larger project for my work.
What's more, the lib is written in pure Python and has no dependencies other than the standard lib.
What My Project Does
It's called Refinedoc, and it's a little python lib that lets you remove headers and footers from poorly structured texts in a fairly robust and normally not very RAM-intensive way (appreciate the scientific precision of that last point), based on this paper https://www.researchgate.net/publication/221253782\_Header\_and\_Footer\_Extraction\_by\_Page-Association
I developed it initially to manage content extracted from PDFs I process as part of a professional project.
When Should You Use My Project?
The idea behind this library is to enable post-extraction processing of unstructured text content, the best-known example being pdf files. The main idea is to robustly and securely separate the text body from its headers and footers which is very useful when you collect lot of PDF files and want the body oh each.
Comparison
I compare it with pymuPDF4LLM wich is incredible but don't allow to extract specifically headers and footers and the license was a problem in my case.
I'd be delighted to hear your feedback on the code or lib as such!
https://github.com/CyberCRI/refinedoc
/r/Python
https://redd.it/1kn4lfx
Hello everyone!
I'm here to present my latest little project, which I developed as part of a larger project for my work.
What's more, the lib is written in pure Python and has no dependencies other than the standard lib.
What My Project Does
It's called Refinedoc, and it's a little python lib that lets you remove headers and footers from poorly structured texts in a fairly robust and normally not very RAM-intensive way (appreciate the scientific precision of that last point), based on this paper https://www.researchgate.net/publication/221253782\_Header\_and\_Footer\_Extraction\_by\_Page-Association
I developed it initially to manage content extracted from PDFs I process as part of a professional project.
When Should You Use My Project?
The idea behind this library is to enable post-extraction processing of unstructured text content, the best-known example being pdf files. The main idea is to robustly and securely separate the text body from its headers and footers which is very useful when you collect lot of PDF files and want the body oh each.
Comparison
I compare it with pymuPDF4LLM wich is incredible but don't allow to extract specifically headers and footers and the license was a problem in my case.
I'd be delighted to hear your feedback on the code or lib as such!
https://github.com/CyberCRI/refinedoc
/r/Python
https://redd.it/1kn4lfx
ResearchGate
(PDF) Header and Footer Extraction by Page-Association
PDF | This paper introduces a robust algorithm to extract headers and footers from a variety of electronic documents, such as image files, Adobe PDF... | Find, read and cite all the research you need on ResearchGate
PyTorch vs. Keras/Tensorflow D
Hey guys,
I am aware of the intended use cases, but I am interested to learn what you use more often in your projects. PyTorch or Keras and why?
/r/Python
https://redd.it/1kn4132
Hey guys,
I am aware of the intended use cases, but I am interested to learn what you use more often in your projects. PyTorch or Keras and why?
/r/Python
https://redd.it/1kn4132
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
R AlphaEvolve: A coding agent for scientific and algorithmic discovery
Paper: https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf
Abstract:
In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances
capabilities of state-of-the-art LLMs on highly challenging tasks such as tackling open scientific problems
or optimizing critical pieces of computational infrastructure. AlphaEvolve orchestrates an autonomous
pipeline of LLMs, whose task is to improve an algorithm by making direct changes to the code. Using
an evolutionary approach, continuously receiving feedback from one or more evaluators, AlphaEvolve
iteratively improves the algorithm, potentially leading to new scientific and practical discoveries. We
demonstrate the broad applicability of this approach by applying it to a number of important computational problems. When applied to optimizing critical components of large-scale computational
stacks at Google, AlphaEvolve developed a more efficient scheduling algorithm for data centers, found
a functionally equivalent simplification in the circuit design of hardware accelerators, and accelerated the training of the LLM underpinning AlphaEvolve itself. Furthermore, AlphaEvolve discovered
novel, provably correct algorithms that surpass state-of-the-art solutions on a spectrum of problems
in mathematics and computer science, significantly expanding the scope of prior automated discovery
methods (Romera-Paredes et al., 2023). Notably, AlphaEvolve developed a search algorithm that found a
procedure to multiply two 4 × 4 complex-valued matrices using 48 scalar multiplications; offering the
first improvement, after 56 years, over Strassen’s algorithm in this setting.
/r/MachineLearning
https://redd.it/1kmxi4z
Paper: https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf
Abstract:
In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances
capabilities of state-of-the-art LLMs on highly challenging tasks such as tackling open scientific problems
or optimizing critical pieces of computational infrastructure. AlphaEvolve orchestrates an autonomous
pipeline of LLMs, whose task is to improve an algorithm by making direct changes to the code. Using
an evolutionary approach, continuously receiving feedback from one or more evaluators, AlphaEvolve
iteratively improves the algorithm, potentially leading to new scientific and practical discoveries. We
demonstrate the broad applicability of this approach by applying it to a number of important computational problems. When applied to optimizing critical components of large-scale computational
stacks at Google, AlphaEvolve developed a more efficient scheduling algorithm for data centers, found
a functionally equivalent simplification in the circuit design of hardware accelerators, and accelerated the training of the LLM underpinning AlphaEvolve itself. Furthermore, AlphaEvolve discovered
novel, provably correct algorithms that surpass state-of-the-art solutions on a spectrum of problems
in mathematics and computer science, significantly expanding the scope of prior automated discovery
methods (Romera-Paredes et al., 2023). Notably, AlphaEvolve developed a search algorithm that found a
procedure to multiply two 4 × 4 complex-valued matrices using 48 scalar multiplications; offering the
first improvement, after 56 years, over Strassen’s algorithm in this setting.
/r/MachineLearning
https://redd.it/1kmxi4z
I built an Interactive reStructuredText Tutorial that runs entirely in your browser
Hey r/Python!
I wanted to share a project I've been working on: an Interactive reStructuredText Tutorial.
What My Project Does
It's a web-based, hands-on tutorial designed to teach reStructuredText (reST), the markup language used extensively in Python documentation (like Sphinx, docstrings, etc.). The entire tutorial, including the reST rendering, runs directly in your browser using PyScript and Pyodide.
You get a lesson description on one side and an interactive editor on the other. As you type reST in the editor, you see the rendered HTML output update instantly. It covers topics from basic syntax and inline markup to more complex features like directives, roles, tables, and figures.
There's also a separate Playground page for free-form experimentation.
Why I Made It
While the official reStructuredText documentation is comprehensive, I find that learning markup languages is often easier with immediate, interactive feedback. I wanted to create a tool where users could experiment with reST syntax and see the results without needing any local setup. Building it with PyScript was also a fun challenge to see how much could be done directly in the browser with Python.
Target Audience
This is for anyone who needs to learn or brush up on reStructuredText:
Python developers writing documentation or docstrings.
Users of Sphinx or
/r/Python
https://redd.it/1kn6ysa
Hey r/Python!
I wanted to share a project I've been working on: an Interactive reStructuredText Tutorial.
What My Project Does
It's a web-based, hands-on tutorial designed to teach reStructuredText (reST), the markup language used extensively in Python documentation (like Sphinx, docstrings, etc.). The entire tutorial, including the reST rendering, runs directly in your browser using PyScript and Pyodide.
You get a lesson description on one side and an interactive editor on the other. As you type reST in the editor, you see the rendered HTML output update instantly. It covers topics from basic syntax and inline markup to more complex features like directives, roles, tables, and figures.
There's also a separate Playground page for free-form experimentation.
Why I Made It
While the official reStructuredText documentation is comprehensive, I find that learning markup languages is often easier with immediate, interactive feedback. I wanted to create a tool where users could experiment with reST syntax and see the results without needing any local setup. Building it with PyScript was also a fun challenge to see how much could be done directly in the browser with Python.
Target Audience
This is for anyone who needs to learn or brush up on reStructuredText:
Python developers writing documentation or docstrings.
Users of Sphinx or
/r/Python
https://redd.it/1kn6ysa
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
R AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
> Large language models (LLMs) are remarkably versatile. They can summarize documents, generate code or even brainstorm new ideas. And now we’ve expanded these capabilities to target fundamental and highly complex problems in mathematics and modern computing.
Today, we’re announcing AlphaEvolve, an evolutionary coding agent powered by large language models for general-purpose algorithm discovery and optimization. AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators that verify answers, and uses an evolutionary framework to improve upon the most promising ideas.
AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself. It has also helped design faster matrix multiplication algorithms and find new solutions to open mathematical problems, showing incredible promise for application across many areas.
For all the Evolutionary Algorthim fans out there, here's a really interesting paper that Deepmind published where they show AlphaEvolve designing advanced algorithms like improving matrix multiplication (which is a big deal in ML optimization)
Paper link: https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/
Interview with team:
https://youtu.be/vC9nAosXrJw?si=rzZSorXqgbqChFJa
/r/MachineLearning
https://redd.it/1kmzpg0
> Large language models (LLMs) are remarkably versatile. They can summarize documents, generate code or even brainstorm new ideas. And now we’ve expanded these capabilities to target fundamental and highly complex problems in mathematics and modern computing.
Today, we’re announcing AlphaEvolve, an evolutionary coding agent powered by large language models for general-purpose algorithm discovery and optimization. AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators that verify answers, and uses an evolutionary framework to improve upon the most promising ideas.
AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself. It has also helped design faster matrix multiplication algorithms and find new solutions to open mathematical problems, showing incredible promise for application across many areas.
For all the Evolutionary Algorthim fans out there, here's a really interesting paper that Deepmind published where they show AlphaEvolve designing advanced algorithms like improving matrix multiplication (which is a big deal in ML optimization)
Paper link: https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/
Interview with team:
https://youtu.be/vC9nAosXrJw?si=rzZSorXqgbqChFJa
/r/MachineLearning
https://redd.it/1kmzpg0
Google DeepMind
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
Introducing Pyrefly: A fast type checker and IDE experience for Python, written in Rust
Blog post: https://engineering.fb.com/2025/05/15/developer-tools/introducing-pyrefly-a-new-type-checker-and-ide-experience-for-python/
Podcast: https://engineering.fb.com/2025/05/15/developer-tools/open-sourcing-pyrefly-a-faster-python-type-checker-written-in-rust/
Source code: https://github.com/facebook/pyrefly
/r/Python
https://redd.it/1knh1uu
Blog post: https://engineering.fb.com/2025/05/15/developer-tools/introducing-pyrefly-a-new-type-checker-and-ide-experience-for-python/
Podcast: https://engineering.fb.com/2025/05/15/developer-tools/open-sourcing-pyrefly-a-faster-python-type-checker-written-in-rust/
Source code: https://github.com/facebook/pyrefly
/r/Python
https://redd.it/1knh1uu
Engineering at Meta
Introducing Pyrefly: A new type checker and IDE experience for Python
Today we are announcing an alpha version of Pyrefly, an open source Python type checker and IDE extension crafted in Rust. Pyrefly is a static type checker that analyzes Python code to ensure type …
Python for Good - Save the Date!
Hey Pythonistas!
Do you:
✅ Get excited about writing Python code?
✅ Want to use your skills for some serious good in the world?
✅ Interested in hanging out with the coolest, kindest, most awesome people in the Python community?
✅ Want to make dozens of new close friends?
If you're nodding enthusiastically right now, block off August 28-31st for Python for Good! Registration opens June 1st, but we wanted to give you a heads-up so you can plan accordingly!
Never heard of Python for Good? Python for Good operates year round but the event is basically summer camp for nerds! And it's ALL-INCLUSIVE (yes, you read that right) - lodging, meals, everything - at a gorgeous retreat space overlooking the Pacific Ocean. By day, we code for awesome causes. By night? We unleash our inner geeks with board games, nature hikes, campfire s'mores, epic karaoke battles, and other community building activities!
This is definitely NOT a hackathon. We work on real problems from real nonprofits (who'll be right there with us!), creating or contributing to existing open source solutions that will continue to make a difference long after the event wraps up.
Sounds like fun? Or maybe something your company would love to support? Hit us up!
/r/Python
https://redd.it/1knhkex
Hey Pythonistas!
Do you:
✅ Get excited about writing Python code?
✅ Want to use your skills for some serious good in the world?
✅ Interested in hanging out with the coolest, kindest, most awesome people in the Python community?
✅ Want to make dozens of new close friends?
If you're nodding enthusiastically right now, block off August 28-31st for Python for Good! Registration opens June 1st, but we wanted to give you a heads-up so you can plan accordingly!
Never heard of Python for Good? Python for Good operates year round but the event is basically summer camp for nerds! And it's ALL-INCLUSIVE (yes, you read that right) - lodging, meals, everything - at a gorgeous retreat space overlooking the Pacific Ocean. By day, we code for awesome causes. By night? We unleash our inner geeks with board games, nature hikes, campfire s'mores, epic karaoke battles, and other community building activities!
This is definitely NOT a hackathon. We work on real problems from real nonprofits (who'll be right there with us!), creating or contributing to existing open source solutions that will continue to make a difference long after the event wraps up.
Sounds like fun? Or maybe something your company would love to support? Hit us up!
/r/Python
https://redd.it/1knhkex
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Friday Daily Thread: r/Python Meta and Free-Talk Fridays
# 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! 🌟
/r/Python
https://redd.it/1knn8l8
# 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! 🌟
/r/Python
https://redd.it/1knn8l8
Redditinc
Reddit Rules
Reddit Rules - Reddit
Better Pythonic Thinking
I've been using Python for a while, but I still find myself writing it more like JS than truly "Pythonic" code. I'm trying to level up how I think in Python.
Any tips, mindsets, patterns, or cheat sheets that helped you make the leap to more Pythonic thinking?
/r/Python
https://redd.it/1knff06
I've been using Python for a while, but I still find myself writing it more like JS than truly "Pythonic" code. I'm trying to level up how I think in Python.
Any tips, mindsets, patterns, or cheat sheets that helped you make the leap to more Pythonic thinking?
/r/Python
https://redd.it/1knff06
Reddit
From the Python community on Reddit
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Jinja2
what is Jinja2 template
explain it or any source or youtube video.
/r/flask
https://redd.it/1kn3rhw
what is Jinja2 template
explain it or any source or youtube video.
/r/flask
https://redd.it/1kn3rhw
Reddit
From the flask community on Reddit
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