Must know Python libraries, new and old?
I have 4YOE as a Python backend dev and just noticed we are lagging behind at work. For example, I wrote a validation library at the start and we have been using it for this whole time, but recently I saw Pydantic and although mine has most of the functionality, Pydantic is much, much better overall. I feel like im stagnating and I need to catch up. We don't even use Dataclasses. I recently learned about Poetry which we also don't use. We use pandas, but now I see there is polars. Pls help.
Please share: TLDR - what are the most popular must know python libraries? Pydantic, poetry?
/r/Python
https://redd.it/1iif99x
I have 4YOE as a Python backend dev and just noticed we are lagging behind at work. For example, I wrote a validation library at the start and we have been using it for this whole time, but recently I saw Pydantic and although mine has most of the functionality, Pydantic is much, much better overall. I feel like im stagnating and I need to catch up. We don't even use Dataclasses. I recently learned about Poetry which we also don't use. We use pandas, but now I see there is polars. Pls help.
Please share: TLDR - what are the most popular must know python libraries? Pydantic, poetry?
/r/Python
https://redd.it/1iif99x
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Django bugfix releases issued: 5.1.6, 5.0.12, and 4.2.19
https://www.djangoproject.com/weblog/2025/feb/05/bugfix-releases/
/r/django
https://redd.it/1iibgmu
https://www.djangoproject.com/weblog/2025/feb/05/bugfix-releases/
/r/django
https://redd.it/1iibgmu
Django Project
Django bugfix releases issued: 5.1.6, 5.0.12, and 4.2.19
Posted by Natalia Bidart on Feb. 5, 2025
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/1iioxzg
# 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/1iioxzg
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
N How Deepseek trained their R1 models, and how frontier LLMs are trained today.
https://www.youtube.com/watch?v=aAfanTeRn84
Lex Friedman recently posted an interview called "DeepSeek's GPU Optimization tricks". It is a great behind the scenes look at how Deepseek trained their latest models even when they did not have as many GPUs and their American peers.
Necessity was the mother of invention and there are the few things that Deepseek did-
Their Mixture of experts configuration was innovative where they had a very high sparsity factor of 8/256 experts activating. This was much higher than in other models where 2 out of 8 experts activate.
Training this model can be hard because only a few experts actually learn for a task and are activated, making the models weak. They introduced an auxiliary loss to make sure all the experts are used across all tasks, leading to a strong model.
A challenge with mixture of experts model is that if only a few experts activate then only a few GPUs might be overloaded with compute while the rest sit idle. The auxiliary loss also prevents this from happening.
They went much further and implemented their own version of Nvidia's NCCL communications library and used a closer to assembly level PTX instructions to manage how SM's in the GPU
/r/MachineLearning
https://redd.it/1iii013
https://www.youtube.com/watch?v=aAfanTeRn84
Lex Friedman recently posted an interview called "DeepSeek's GPU Optimization tricks". It is a great behind the scenes look at how Deepseek trained their latest models even when they did not have as many GPUs and their American peers.
Necessity was the mother of invention and there are the few things that Deepseek did-
Their Mixture of experts configuration was innovative where they had a very high sparsity factor of 8/256 experts activating. This was much higher than in other models where 2 out of 8 experts activate.
Training this model can be hard because only a few experts actually learn for a task and are activated, making the models weak. They introduced an auxiliary loss to make sure all the experts are used across all tasks, leading to a strong model.
A challenge with mixture of experts model is that if only a few experts activate then only a few GPUs might be overloaded with compute while the rest sit idle. The auxiliary loss also prevents this from happening.
They went much further and implemented their own version of Nvidia's NCCL communications library and used a closer to assembly level PTX instructions to manage how SM's in the GPU
/r/MachineLearning
https://redd.it/1iii013
YouTube
DeepSeek's GPU optimization tricks | Lex Fridman Podcast
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=_1f-o0nqpEI
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/cv8472-sb
See below for guest bio, links, and to give feedback, submit questions, contact Lex,…
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/cv8472-sb
See below for guest bio, links, and to give feedback, submit questions, contact Lex,…
How do you Github Actions pipelines look to deploy updates to Django apps to your VPS?
How to avoid conflicts? Especially with database
/r/django
https://redd.it/1iie89m
How to avoid conflicts? Especially with database
/r/django
https://redd.it/1iie89m
Reddit
From the django community on Reddit
Explore this post and more from the django community
Best approach for searching and filtering data?
Hello everyone,
I'm currently developing an Angular/Django application that heavily relies on searching and filtering data. I'm trying to determine the best approach for implementing these features efficiently. Here’s how the app needs to work:
1. Users will have access to an "advanced filtering" option with almost 50 different filters.
- Many of these filters are dropdowns representing the keys of related models.
- The remaining filters are text-based, allowing users to enter keywords or phrases.
For the text-based search filters, I need to be able to handle spelling errors and find matches even when the word order differs (e.g., "large, green, and heavy" vs. "heavy, green, and large"). Also, some text inputs will need to be searched across multiple columns.
2. The app will have two search modes: first one will return only the results that match 100% of the user's filters. The other mode will need to use a scoring system, ranking results by their relevance (e.g., 100% matches first, followed by 90%, 80%, etc.).
3. The table in question has around 3.000 records.
I would love some suggestions about how to implement this, will Django filters be enough? What would be the best way to handle the weighted search? Any recommendations on handling fuzzy search
/r/django
https://redd.it/1iik3xs
Hello everyone,
I'm currently developing an Angular/Django application that heavily relies on searching and filtering data. I'm trying to determine the best approach for implementing these features efficiently. Here’s how the app needs to work:
1. Users will have access to an "advanced filtering" option with almost 50 different filters.
- Many of these filters are dropdowns representing the keys of related models.
- The remaining filters are text-based, allowing users to enter keywords or phrases.
For the text-based search filters, I need to be able to handle spelling errors and find matches even when the word order differs (e.g., "large, green, and heavy" vs. "heavy, green, and large"). Also, some text inputs will need to be searched across multiple columns.
2. The app will have two search modes: first one will return only the results that match 100% of the user's filters. The other mode will need to use a scoring system, ranking results by their relevance (e.g., 100% matches first, followed by 90%, 80%, etc.).
3. The table in question has around 3.000 records.
I would love some suggestions about how to implement this, will Django filters be enough? What would be the best way to handle the weighted search? Any recommendations on handling fuzzy search
/r/django
https://redd.it/1iik3xs
Reddit
From the django community on Reddit
Explore this post and more from the django community
Unsure how to run data pipeline within flask
2 Quick Questions:
Quick overview: Only used flask before for a crappy blog. No js or webdev experience. I am building a basic stock watching app. I would like users to be able to watch the last few minutes of trading data then have it deleted.
1. I wrote the data pipeline before i started the website. It follows the typical consumer / producer pattern and everything is async. Do i need some kind of worker to run it? I was hoping to run it in its own thread and just emit the data directly from the consumer once it comes in. I don't think i need another message broker in between? Seems unnecessary
2. I am unsure how to handle the trading data. Currently i am writing the data to redis with a TTL and redis-om but i am unsure if this will work. If i get a new update i take it and place it in redis. Ok but how do i / redis now let socketio know there is a new update and it needs to send a new msg to the frontend to re-render the chart. How does charts.js (what i was told to use) access
/r/flask
https://redd.it/1iiqejq
2 Quick Questions:
Quick overview: Only used flask before for a crappy blog. No js or webdev experience. I am building a basic stock watching app. I would like users to be able to watch the last few minutes of trading data then have it deleted.
1. I wrote the data pipeline before i started the website. It follows the typical consumer / producer pattern and everything is async. Do i need some kind of worker to run it? I was hoping to run it in its own thread and just emit the data directly from the consumer once it comes in. I don't think i need another message broker in between? Seems unnecessary
2. I am unsure how to handle the trading data. Currently i am writing the data to redis with a TTL and redis-om but i am unsure if this will work. If i get a new update i take it and place it in redis. Ok but how do i / redis now let socketio know there is a new update and it needs to send a new msg to the frontend to re-render the chart. How does charts.js (what i was told to use) access
/r/flask
https://redd.it/1iiqejq
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
django-allauth 65.4.0: headless improvements & misconceptions
A new release of django-allauth is available: version 65.4.0. It includes several headless improvements, most notably the ability to dynamically serve the API specification as well as out of the box integration with Django Ninja and Django REST framework.
The example (single-page application) running over at https://react.demo.allauth.org has been extended to showcase authentication using session cookies as well as tokens, and, integration with Django Ninja and Django REST framework.
I hope that clears up some of the misconceptions surrounding
# I am building a mobile app and cannot use allauth, as it is using sessions!
Sessions shouldn't be confused with session cookies. You can have sessions without cookies. Authentication is an inherently stateful process. For example, allauth needs to know if a user is signed in, or not. Perhaps the user is partially signed in -- e.g. stuck in the 2FA stage, or pending an email verification code sent to the user by mail. Server side, allauth stores all of this in a regular Django session. Client side, if the client is operating in a browser, the session cookies point to this session as usual. If the client is an iOS/Android app, allauth hands out a session token which
/r/django
https://redd.it/1iiz9l2
A new release of django-allauth is available: version 65.4.0. It includes several headless improvements, most notably the ability to dynamically serve the API specification as well as out of the box integration with Django Ninja and Django REST framework.
The example (single-page application) running over at https://react.demo.allauth.org has been extended to showcase authentication using session cookies as well as tokens, and, integration with Django Ninja and Django REST framework.
I hope that clears up some of the misconceptions surrounding
allauth.headless, particularly these ones:# I am building a mobile app and cannot use allauth, as it is using sessions!
Sessions shouldn't be confused with session cookies. You can have sessions without cookies. Authentication is an inherently stateful process. For example, allauth needs to know if a user is signed in, or not. Perhaps the user is partially signed in -- e.g. stuck in the 2FA stage, or pending an email verification code sent to the user by mail. Server side, allauth stores all of this in a regular Django session. Client side, if the client is operating in a browser, the session cookies point to this session as usual. If the client is an iOS/Android app, allauth hands out a session token which
/r/django
https://redd.it/1iiz9l2
react.demo.allauth.org
React ❤️ django-allauth
Web site created using create-react-app
DjangoMatrix.com - A community driven project (Call for contributors)
Hey guys 👋
Ever spent way too much time Googling “*does \[cool Django package\] work with Django 5.0?*”… only to find outdated forum posts and crickets? Yeah, me too. That’s why I've built **DjangoMatrix** — a community-powered directory to track package compatibility, activity, and alternatives. Think of it like a friendly neighborhood wiki, but for Django packages.
And guess what? It could use your help to make it actually useful for all of us.
**What's DjangoMatrix all about?**
Look, Django packages are amazing… until they’re abandoned, or break with the latest Python/Django versions. And I thought we could all use a place where we can see compatibility at a glance.
**Some interesting things about DjangoMatrix:**
* **Built with Django** (Duhh). And it's open-source. You can find link to its repository in the lower right corner.
* **Fresh GitHub Data**: Every day, the system fetches data from GitHub for the published Packages, ensuring that the information stays current.
* **Dynamic Graphs**: We plot graphs showing the movement of Stars, Forks, and Issues over time, giving you a visual insight into project trends.
* **Optimized Details Page**: A caching system is in place for our details page, meaning faster loading times and smoother navigation.
* **Similar Packages Discovery**: By analyzing
/r/django
https://redd.it/1ij1bwf
Hey guys 👋
Ever spent way too much time Googling “*does \[cool Django package\] work with Django 5.0?*”… only to find outdated forum posts and crickets? Yeah, me too. That’s why I've built **DjangoMatrix** — a community-powered directory to track package compatibility, activity, and alternatives. Think of it like a friendly neighborhood wiki, but for Django packages.
And guess what? It could use your help to make it actually useful for all of us.
**What's DjangoMatrix all about?**
Look, Django packages are amazing… until they’re abandoned, or break with the latest Python/Django versions. And I thought we could all use a place where we can see compatibility at a glance.
**Some interesting things about DjangoMatrix:**
* **Built with Django** (Duhh). And it's open-source. You can find link to its repository in the lower right corner.
* **Fresh GitHub Data**: Every day, the system fetches data from GitHub for the published Packages, ensuring that the information stays current.
* **Dynamic Graphs**: We plot graphs showing the movement of Stars, Forks, and Issues over time, giving you a visual insight into project trends.
* **Optimized Details Page**: A caching system is in place for our details page, meaning faster loading times and smoother navigation.
* **Similar Packages Discovery**: By analyzing
/r/django
https://redd.it/1ij1bwf
Reddit
From the django community on Reddit
Explore this post and more from the django community
Is HTML e CSS enough for the frontend of a professional management application?
I'm developing an application for a bakery. It's a small management system. I have a lot of knowledge in backend with Flask, but little knowledge in frontend. I've done frontend projects using Bootstrap or Bulma CSS. But since I don't know much about React/Vue/Angular, I don't know what they could add to the project. What's your opinion about investing time and study in this? For those of you who work with Flask, how do you deal with the frontend part?
/r/flask
https://redd.it/1ij1ap0
I'm developing an application for a bakery. It's a small management system. I have a lot of knowledge in backend with Flask, but little knowledge in frontend. I've done frontend projects using Bootstrap or Bulma CSS. But since I don't know much about React/Vue/Angular, I don't know what they could add to the project. What's your opinion about investing time and study in this? For those of you who work with Flask, how do you deal with the frontend part?
/r/flask
https://redd.it/1ij1ap0
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
GRPO VRAM Requirements For the GPU Poor
Hey all, I spent some time digging into GRPO over the weekend and kicked off a bunch of fine-tuning experiments. When I saw there was already an easy to use implementation of GRPO in the
Full Details: https://www.oxen.ai/blog/grpo-vram-requirements-for-the-gpu-poor
Just show me the usage:
All the runs above were done on an H100, so OOM here means > 80GB. The top row is parameter counts.
https://preview.redd.it/4hjjzrf5xghe1.png?width=6304&format=png&auto=webp&s=46397d3e2bbdae61845a88afa96f0dce9e981047
/r/MachineLearning
https://redd.it/1iiwwcc
Hey all, I spent some time digging into GRPO over the weekend and kicked off a bunch of fine-tuning experiments. When I saw there was already an easy to use implementation of GRPO in the
trl library, I was off to the races. I broke out my little Nvidia GeForce RTX 3080 powered laptop with 16GB of VRAM and quickly started training. Overall I was pretty impressed with it's ability to shape smol models with the reward functions you provide. But my biggest takeaway was how much freaking VRAM you need with different configurations. So I spun up an H100 in the cloud and made table to help save future fine-tuners the pains of OOM errors. Hope you enjoy!Full Details: https://www.oxen.ai/blog/grpo-vram-requirements-for-the-gpu-poor
Just show me the usage:
All the runs above were done on an H100, so OOM here means > 80GB. The top row is parameter counts.
https://preview.redd.it/4hjjzrf5xghe1.png?width=6304&format=png&auto=webp&s=46397d3e2bbdae61845a88afa96f0dce9e981047
/r/MachineLearning
https://redd.it/1iiwwcc
www.oxen.ai
🧠 GRPO VRAM Requirements For the GPU Poor | Oxen.ai
Since the release of DeepSeek-R1, Group Relative Policy Optimization (GRPO) has become the talk of the town for Reinforcement Learning in Large Language Models due to its effectiveness and ease of training. The R1 paper demonstrated how you can use GRPO to…
Any convention on project structure?
Hey guys!
I've just started to implement an API service with Flask. I saw some project structures on the web. However, there is no consensus as far as I see if I am not wrong. Is there any Flask project directory structure by convention like Django?
Could you please share your suggestions for both a small project with a couple of models and endpoints and a larger project that needs different blueprints?
/r/flask
https://redd.it/1ijaa31
Hey guys!
I've just started to implement an API service with Flask. I saw some project structures on the web. However, there is no consensus as far as I see if I am not wrong. Is there any Flask project directory structure by convention like Django?
Could you please share your suggestions for both a small project with a couple of models and endpoints and a larger project that needs different blueprints?
/r/flask
https://redd.it/1ijaa31
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Django Islands: A modern approach to JavaScript integration
https://blopker.com/writing/07-django-islands-part-1/
/r/django
https://redd.it/1ijd4mo
https://blopker.com/writing/07-django-islands-part-1/
/r/django
https://redd.it/1ijd4mo
Blopker
Django Islands: Part 1 | Side Quests by Bo Lopker
On using SolidJS with Django to build a type-safe frontend that the whole team will love.
What kind of security are you implementing for your Django REST API application?
Hi, I am working on a project. I use Next.js for the frontend and Django for the backend. I use AWS for all the hosting. My question is: what kind of security measures are you using for the Django application? I am reading about OWASP; you can check the link here: OWASP website.
I use 'Ratelimit' for some of my forms.
https://preview.redd.it/acqw9878gkhe1.png?width=1078&format=png&auto=webp&s=6ef9b85ac21b425a0657b2d016742ad56000308d
/r/django
https://redd.it/1ijaaij
Hi, I am working on a project. I use Next.js for the frontend and Django for the backend. I use AWS for all the hosting. My question is: what kind of security measures are you using for the Django application? I am reading about OWASP; you can check the link here: OWASP website.
I use 'Ratelimit' for some of my forms.
https://preview.redd.it/acqw9878gkhe1.png?width=1078&format=png&auto=webp&s=6ef9b85ac21b425a0657b2d016742ad56000308d
/r/django
https://redd.it/1ijaaij
cheatsheetseries.owasp.org
Django REST Framework - OWASP Cheat Sheet Series
Website with the collection of all the cheat sheets of the project.
SEARCH YOUTUBE AND VIMEO IN ONE PLACE
# I just found this website that let you search for youtube and Vimeos videos, it rank the best videos from the two platforms based on views and quality of the content. It is cool because you search one place and get videos from two different platform
link: http://www.tubesynopsis.com
/r/django
https://redd.it/1ijnlte
# I just found this website that let you search for youtube and Vimeos videos, it rank the best videos from the two platforms based on views and quality of the content. It is cool because you search one place and get videos from two different platform
link: http://www.tubesynopsis.com
/r/django
https://redd.it/1ijnlte
Reddit
From the django community on Reddit
Explore this post and more from the django 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/1ijhini
# 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/1ijhini
Redditinc
Reddit Rules
Reddit Rules - Reddit
Any recommendations for an open source Flask repo using pytorch?
Hi, I'd like to play around with some open source Flask project that is using pytorch under the hood. I'm working on a build system and I'd like to test it out with apps that are huge packages like pytorch.
/r/flask
https://redd.it/1ijq279
Hi, I'd like to play around with some open source Flask project that is using pytorch under the hood. I'm working on a build system and I'd like to test it out with apps that are huge packages like pytorch.
/r/flask
https://redd.it/1ijq279
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
DjangoMatrix.com - A project I've built in couple of weeks
Hey guys,
just wanted to share with you a project I've built with Django in the last couple of weeks.
The project is about being a one-stop-shop for everything related to Django packages, versioning, compatibilities etc.
You can find more detailed information on the r/Django post I've posted a while ago.
Given that it is open-source, you can scour trough the code and maybe get an "Aha!" moment.
(I'm not saying this is the perfect codebase (or project) I've built, but rather one that I've managed to build and deploy in very little time, and hoping if it gets some traction - we can do many, many improvements!)
p.s. All contributions are welcomed! Feel free to make a PR or report an Issue in the Github repository.
Check it out:
👉 DjangoMatrix.com
👉 GitHub Repository
/r/djangolearning
https://redd.it/1ij1t56
Hey guys,
just wanted to share with you a project I've built with Django in the last couple of weeks.
The project is about being a one-stop-shop for everything related to Django packages, versioning, compatibilities etc.
You can find more detailed information on the r/Django post I've posted a while ago.
Given that it is open-source, you can scour trough the code and maybe get an "Aha!" moment.
(I'm not saying this is the perfect codebase (or project) I've built, but rather one that I've managed to build and deploy in very little time, and hoping if it gets some traction - we can do many, many improvements!)
p.s. All contributions are welcomed! Feel free to make a PR or report an Issue in the Github repository.
Check it out:
👉 DjangoMatrix.com
👉 GitHub Repository
/r/djangolearning
https://redd.it/1ij1t56
Reddit
From the django community on Reddit
Explore this post and more from the django community
Seniors of django, how did learn the framework?
Hey everyone,
I’m 24 and trying to learn Django, but I’ve been struggling a lot. I have a background in computer engineering and some coding knowledge, but I lack job experience. Whenever I try to study or work on projects, I get tired quickly and lose focus. I also tend to underestimate my skills, which makes learning feel even harder.
On top of that, I feel really alone in this process. I don’t have a support system of people who understand what I’m going through, and I can’t use freelance platforms due to my location. All of this makes it hard to stay motivated, especially when I don’t see immediate progress.
I’m wondering if anyone has been in a similar situation. How do you push through when you feel isolated and discouraged? How do you deal with feeling like you’re not good enough, even when logically you know you’re making progress? Any tips for managing fatigue while studying?
I’d really appreciate any advice or encouragement. Thanks in advance!
P.s: I am interested in coding and developing.
/r/django
https://redd.it/1ijvisj
Hey everyone,
I’m 24 and trying to learn Django, but I’ve been struggling a lot. I have a background in computer engineering and some coding knowledge, but I lack job experience. Whenever I try to study or work on projects, I get tired quickly and lose focus. I also tend to underestimate my skills, which makes learning feel even harder.
On top of that, I feel really alone in this process. I don’t have a support system of people who understand what I’m going through, and I can’t use freelance platforms due to my location. All of this makes it hard to stay motivated, especially when I don’t see immediate progress.
I’m wondering if anyone has been in a similar situation. How do you push through when you feel isolated and discouraged? How do you deal with feeling like you’re not good enough, even when logically you know you’re making progress? Any tips for managing fatigue while studying?
I’d really appreciate any advice or encouragement. Thanks in advance!
P.s: I am interested in coding and developing.
/r/django
https://redd.it/1ijvisj
Reddit
From the django community on Reddit
Explore this post and more from the django community
PyPy v7.3.18 release
>Here's the blog post about the PyPY 7.3.18 release that came out yesterday. Thanks to @matti-p.bsky.social, our release manager! This the first version with 3.11 support (beta only so far). Two cool other features in the thread below.
https://pypy.org/posts/2025/02/pypy-v7318-release.html
/r/Python
https://redd.it/1ijrewd
>Here's the blog post about the PyPY 7.3.18 release that came out yesterday. Thanks to @matti-p.bsky.social, our release manager! This the first version with 3.11 support (beta only so far). Two cool other features in the thread below.
https://pypy.org/posts/2025/02/pypy-v7318-release.html
/r/Python
https://redd.it/1ijrewd
PyPy
PyPy v7.3.18 release
PyPy v7.3.18: release of python 2.7, 3.10 and 3.11 beta
The PyPy team is proud to release version 7.3.18 of PyPy.
This release includes a python 3.11 interpreter. We are labelling it "beta"
because it
The PyPy team is proud to release version 7.3.18 of PyPy.
This release includes a python 3.11 interpreter. We are labelling it "beta"
because it