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Daily Python News Question, Tips and Tricks, Best Practices on Python Programming Language Find more reddit channels over at @r_channels
[R] LSTM or Transformer as "malware packer"
/r/MachineLearning
https://redd.it/1ln4omn
Are there many of you on here who do all their Python development inside a container?
I tried to run my app in a container during development a few years ago in vscode, but it didn't feel right at all. Within the few i spoke to who also tried this it didn't resonate either and most did their python development locally. They only used containers for development services.
I wonder if things have changed. It looks like you still need to do a lot of custom config to debug a container in vscode. Does hot reload work? Intellisense? click through to system modules? I wonder if the consensus is different in 2025.
/r/Python
https://redd.it/1lmztd5
Ending all Circular Imports Forever?
Wouldn't there be a way to hack Python so that it receives the following system-level command from module import:from module import somedef:(doppler)
And the argument (doppler) then automatically ensures that lazy is imported, and if that doesn't work, it detects a circle and automatically uses the doppler.py where you simply shove all defs() that make problems from your whole project?
🔄 DOPPLER MODULE ================ import sys import importlib.utilclass DopplerImportHook: def find_spec(self, name, path, target=None): # Spot "(doppler)" Pattern if ":(doppler)" in name: # Circular Import Detection # Fallback zu `doppler.py` return self.load_from_doppler(name)
# AST-Manipulation before Import: import astdef preprocess_import(source): # Parse "from module import func:(doppler)" # Transform to try/except with doppler fallbackclass AutoDopplerMeta(type): def __new__(cls, name, bases, namespace): # Automatically detect circular dependencies # Route to doppler when needed
is this a bad idea?
/r/Python
https://redd.it/1lmmypt
I updated CtrlV: Share code instantly via web or directly from VS Code
/r/django
https://redd.it/1lmk52v
I made a swipeable video feed for immersing yourself in topics like python
https://illustrious-mu.vercel.app/
This isn't a python project, but it's a tool that would serve you learning or advancing in Python. You might stumble into python idioms, patterns, and practices that you haven't seen before if you spend some time on this thing
Really curious if it's working to help you pick up information
/r/Python
https://redd.it/1lm3bvd
Hey experts, I'm a noobie... In python & django
Where to start?
/r/django
https://redd.it/1lm1nmo
What data serialization formats do you use most often at work/personally?
Hi!
I am curious about what structured data formats are most commonly used across different teams and industries and why. Non binary ones. Personally, I've mostly worked with YAML (and occasionally JSON). I find it super easy to read and edit, which is one of my usual biggest priorities.
I have never had to use XML in any of the environments I have worked with. Do you often make use of it? Does it have any advatnages over YAML/JSON?
/r/Python
https://redd.it/1llzmha
D Thinking, Fast and Slow
To the theorists in the community, how do you balance
1. engaging with theory research - which is usually a slow process requiring deep thinking
2. with programming - which is fast-paced, iterative process with quick feedback?
I'm finding switching between the two thinking modes very hard to balance.
/r/MachineLearning
https://redd.it/1llo5nt
JurisJs: An open invitation to try new client framework
JurisJS is the first web framework to implement non-blocking rendering pipeline, making 3ms client side render impossibly double even for asynchronous heavy clients requirement. It can handle all your asynchronous requests in parallel allowing other fast request to renders quickly.
For Django backend, developers can choose between two modes solution:
1: Static HTML + JurisJs enhance() API,
2: REST Backend + JurisJs Full Component System in frontend.
It's a good alternative for React if you don't want build. to alpine if you want debuggable cross element reactivity.
JurisJS is designed for all developer javascript expertise.
* Features:
* - Temporal Independent
* - Automatic deep call stack branch aware dependency detection
* - Smart Promise Handling
* - Component lazy compilation
* - Non-Blocking Rendering
* - Global Non-Reactive State Management
*
* Performance:
* - Sub 3ms render on simple apps
* - Sub 10ms render on complex or large apps
* - Sub 20ms render on very complex or large apps
GitHub: https://github.com/jurisjs/juris
Website: https://jurisjs.com/
NPM: https://www.npmjs.com/package/juris
Codepen: https://codepen.io/jurisauthor
Online Testing: https://jurisjs.com/tests/juris_pure_test_interface.html
/r/django
https://redd.it/1llqcwn
ai-rulez: autogenerate rule files (.cursorrules, CLAUDE.md etc.) from yaml
**GitHub:** https://github.com/Goldziher/ai-rulez
## The Problem
If you're using multiple AI coding tools (Claude, Cursor, Windsurf, etc.), you've probably noticed each one requires its configuration file - `.cursorrules`, `.windsurfrules`, `CLAUDE.md`, and so on. Maintaining consistent coding standards across all these tools can be frustrating.
## Solution: Write Once, Generate for Any Tool
AI-Rulez lets you define your coding rules once in a structured YAML file and automatically generates configuration files for **any AI tool**, including current ones and future ones. It's completely **platform-agnostic** with a powerful templating system.
It's very fast, written in Go, and it has wrappers for Python (pip) and Node (npm).
## Configuration
All configuration is done using `ai_rulez.yaml` (.ai_rulez.yaml also supported):
```yaml
metadata:
name: "My Python Project Rules"
version: "1.0.0"
outputs:
- file: "CLAUDE.md"
- file: ".cursorrules"
- file: ".windsurfrules"
- file: "custom-ai-tool.txt" # Any format you need!
rules:
- name: "Code Style"
priority: 10
content: |
- Use Python 3.11+ features
- Follow PEP 8 strictly
- Use type hints everywhere
- name: "Testing"
priority: 5
content:
/r/Python
https://redd.it/1llnlqa
select ForeignKey
hola
tengo este código y no logro saber que esta mal
<form enctype="multipart/form-data" method="POST">
{% csrftoken %}
{# Incluir los campos visibles #}
{% for campo in formulario %}
<div class="input-group mb-3">
<span class="input-group-text" id="basic-addon1">{{campo.label}}</span>
<input type="{{campo.field.widget.inputtype}}"
class="form-control"
name="{{campo.name}}"
id=""
aria-describedby="helpId"
placeholder=""
value="{{campo.value | default:''}}"/>
</div>
{% endfor %}
</form>
el codigo funciona pero el capo fecha no me lo toma con date
y el select que esta asociado con un ForeignKey no me muestra la lista de los valores con el campo asociado
Gracias
/r/django
https://redd.it/1llhsa7
[R] You can just predict the optimum (aka in-context Bayesian optimization)
Hi all,
I wanted to share a blog post about our recent AISTATS 2025 paper on using Transformers for black-box optimization, among other things.
TL;DR: We train a Transformer on millions of synthetically generated (function, optimum) pairs. The trained model can then predict the optimum of a new, unseen function in a single forward pass. The blog post focuses on the key trick: how to efficiently generate this massive dataset.
* **Blog post:** [https://lacerbi.github.io/blog/2025/just-predict-the-optimum/](https://lacerbi.github.io/blog/2025/just-predict-the-optimum/)
* **Paper:** Chang et al. (AISTATS, 2025) [https://arxiv.org/abs/2410.15320](https://arxiv.org/abs/2410.15320)
* **Website:** [https://acerbilab.github.io/amortized-conditioning-engine/](https://acerbilab.github.io/amortized-conditioning-engine/)
Many of us use Bayesian Optimization (BO) or similar methods for expensive black-box optimization tasks, like hyperparameter tuning. These are iterative, sequential processes. We had an idea inspired by the power of in-context learning shown by transformer-based meta-learning models such as Transformer Neural Processes (TNPs) and Prior-Fitted Networks (PFNs): what if we could frame optimization (as well as several other machine learning tasks) as a massive prediction problem?
For the optimization task, we developed a method where a Transformer is pre-trained to learn an implicit "prior" over functions. It observes a few points from a new target function and directly outputs its prediction as a distribution over the location and value of the optimum. This approach is also known as "amortized inference"
/r/MachineLearning
https://redd.it/1ll69g0
Is there really anything better than flask for rapid development?
I love how easy it is to get started with flask. Spin up a new venv, install flask, write up your code in an app.py file, flask run and you're off to the races. And it is just so simple to write what you want in python from there.
Full-stack frameworks like laravel, django and rails do some of the heavy lifting for you but it does take a little bit of digging to know what's going on and how to use them.
AI is also way better at helping and successfully with my flask apps than with anything else I have used. Laravel and rails have also had some non-trivial changes in the past year like new laravel starter kits or a new rails auth system to replace devise, that I guess LLMs haven't gotten trained on yet, whereas nothing all that big has changed in the flask ecosystem for years, so they know what you're working with.
Any thoughts? Or have I just gotten so used to the developer experience that flask just seems easiest to me?
/r/flask
https://redd.it/1ll9fzz
Flask session not being retrieved properly
Dear flask users,
I have developed (vide-coded) a flask-based [webapp](https://www.sieversstudyhall.com/) to practice German grammar. It is hosted on pythonanywhere.
The code is here: [https://github.com/cbjcamus/Sievers-Study-Hall](https://github.com/cbjcamus/Sievers-Study-Hall)
I don't want to use logins because I'm tired of having to create an account on every website I visit. I'm therefore relying on server-based sessions to store each user's progress.
Here is the behavior I get:
* While a user practice German, the progress is stored correctly.
* While the browser stays opened, the progress is mostly stored from one day to the next.
* /!\\ When one opens a browser, uses the app, closes the browser, and opens the same browser the next day, the progress hasn't been saved.
Concerning the last point, it is the case with every browser I've tried (Chrome, Firefox, Edge, Brave), and for each browser the "third-party cookies" are accepted and the "Delete cookies when the browser is closed" isn't checked.
The behavior I would like to have:
* A user opens a browser, uses the app, closes the browser, and opens the same browser on the same device the next day, the progress has been saved.
* If a user doesn't use the app for three months on the same browser and device, the progress is erased -- timedelta(days=90)
I'm
/r/flask
https://redd.it/1lkvgqg
🚀 A Beautiful Python GUI Framework with Animations, Theming, State Binding & Live Hot Reload
🔗 GitHub Repo: [WinUp](https://github.com/mebaadwaheed/winup)
**What My Project Does**
**WinUp** is a modern, component-based GUI framework for Python built on PySide6 with:
* A real reactive state system (`state.create`, `bind_to`)
* **Live Hot Reload** (LHR) – instantly updates your UI as you save
* Built-in theming (light/dark/custom)
* Native-feeling UI components
* Built-in animation support
* Optional PySide6/Qt integration for low-level access
No QML, no XML, no subclassing Qt widgets — just clean Python code.
**Target Audience**
* Python developers building desktop tools or internal apps
* Indie hackers, tinkerers, and beginners
* Anyone tired of Tkinter’s ancient look or Qt's verbosity
**Comparison with Other Frameworks**
|Feature|WinUp|Tkinter|PySide6 / PyQt6|Toga|DearPyGui|
|:-|:-|:-|:-|:-|:-|
|Syntax|Declarative|Imperative|Verbose|Declarative|Verbose|
|Animations|Built-in|No|Manual|No|Built-in|
|Theming|Built-in|No|QSS|Basic|Custom|
|State System|Built-in|Manual|Signal-based|Limited|Built-in|
|Live Hot Reload|✅ Yes|❌ No|❌ No|✅ Yes|❌ No|
|Learning Curve|Easy|Easy|Steep|Medium|Medium|
**Example: State Binding with Events**
import winup
from winup import ui
def App():
counter = winup.state.create("counter", 0)
label = ui.Label()
counter.bind_to(label, 'text', lambda c: f"Counter Value: {c}")
def increment():
counter.set(counter.get() + 1)
/r/Python
https://redd.it/1lkwvz9
How are you managing local env-specific config/secrets?
Hi all, I manage a team running a number of web services both internally and externally ay my company, and one issue I always have is managing local configuration and secrets.
For example, we have develop/staging/prod instances for each web application, which allows us to validate changes and promote these changes to escalating prod-like environments. I think this pattern is probably pretty familiar to most folks but I'm happy to elaborate more.
However, one thing I have not figured out a good workflow for is managing local secrets. For example, when we are generating database migrations against prod, we need to be pointed to the prod database. What I have found works well enough is to store the secrets in a .env.local file, or .env.prod, .env.staging, .env.develop, etc. And then we just pass these around. It all sounds primitive, but it works well enough, but it feels a bit unwieldy and requires manual config switching to change envs.
However, I also don't imagine this is the best practice. So I guess my questions: how do you store and manage local secrets for dev purposes? I think this question touches on both secrets as well as other likely env-based configs that might vary
/r/django
https://redd.it/1lmusv2
Himig – Compose and Play Melodies with Python
GitHub: **Himig**
Playground: **Himig Playground · Streamlit**
What My Project Does?
Himig is a Python music synthesis module that lets you compose, play, and save melodies using simple note strings like "C4:0.5".
You can use it like this:
from himig import play
melody = "C4:0.5", "C4:0.5", "G4:1.0"
play(melody)
save(melody, "melody.wav")
Melodies are written using the format "NOTE:DURATION" — for example, "A4:1.0" or "R:0.25" for a rest.
Try playing built-in melodies: happy birthday and twinkle twinkle or create your own.
Target Audience:
\-Hobbyists who want to compose melodies programmatically.
\-Educators teaching music, sound, or digital signal processing in Python.
\-Python developers who want to explore audio synthesis.
\-Others who just want to play with music.
Comparison:
\-Aside from Python built-ins, it relies only on Numpy.
\-Simple, readable note strings.
Limitation: One note at a time, wav output only, and sine wave synthesis only for now.
You can install via: pip install himig
/r/Python
https://redd.it/1lmnful
Pobshell: A Bash-like shell for live Python objects
# What Pobshell Does
Think cd, ls, cat, and find — but for Python objects instead of files.
Stroll around your code, runtime state, and data structures. Inspect everything: modules, classes, live objects. Plus recursive search and CLI integration.
2 minute video demo: https://www.youtube.com/watch?v=I5QoSrc\_E\_A
What it's for:
Exploratory debugging: Inspect live object state on the fly
Understanding APIs: Examine code, docstrings, class trees
Shell integration: Pipe object state or code snippets to LLMs or OS tools
Code and data search: Recursive search for object state or source without file paths
REPL & paused script: Explore runtime environments dynamically
Teaching & demos: Make Python internals visible and walkable
Pobshell is pick‑up‑and‑play: familiar commands plus optional new tricks.
# Target Audience
Python devs, Data Scientists, LLM engineers and intermediate Python learners.
Pobshell is open source, and in alpha release -- Don't use it in production. N.B. Tab-completion isn't available in Jupyter.
Tested on MacOs, Linux and Windows (Python 3.12)
Install: pip install pobshell
Github: https://github.com/pdalloz/pobshell
# Alternatives
You can get similar information from a good IDE or JupyterLab, but you'd need to craft Python list comprehensions using the inspect module. IPython has powerful introspection commands too.
What makes Pobshell different is how expressive its commands are, with an easy learning curve - because basic commands and
/r/Python
https://redd.it/1lmn348
[R] Thought Anchors: Which LLM Reasoning Steps Matter?
/r/MachineLearning
https://redd.it/1lmg313
I have created PowerEdit: a code editor
I have created PowerEdit - a lightweight code editor in PyQt5 with integrated console, file explorer and theme support.
Ideal for those looking for something fast and extensible 🔧
📥 Download it here → https://github.com/ZtaMDev/PowerEdit/releases
📘 Documentation (in process) → https://ztamdev.github.io/PowerEdit/
Feedback and contributions welcome! 🙌
/r/Python
https://redd.it/1llx4jd
Recent Noteworthy Package Releases
Over the last 7 days, I've noticed these significant upgrades in the Python package ecosystem.
**Gymnasium 1.2.0** \- A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
**LangGraph 0.5.0** \- Building stateful, multi-actor applications with LLMs
**Dagster 1.11.0 (core) / 0.27.0 (libraries)** \- An orchestration platform for the development, production, and observation of data assets.
**aioboto3 15.0.0** \- Async boto3 wrapper
**lxml 6.0.0** \- Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API
**transformers 4.53.0** \- State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
**mcp 1.10.0** \- Model Context Protocol SDK
**resolvelib 1.2.0** \- Resolve abstract dependencies into concrete ones
**chdb 3.4.0** \- An in-process SQL OLAP Engine powered by ClickHouse
**Diffusers 0.34.0** \- State-of-the-art diffusion in PyTorch and JAX
**junitparser 4.0.0** \- Manipulates JUnit/xUnit Result XML files
**Pybtex 0.25.0** \- A BibTeX-compatible bibliography processor in Python
**Instructor 1.9.0** \- structured outputs for llm
**Robyn 0.70.0** \- A Super Fast Async Python Web Framework with a Rust runtime
/r/Python
https://redd.it/1llr1ix
Saturday Daily Thread: Resource Request and Sharing! Daily Thread
# 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! 🌟
/r/Python
https://redd.it/1lm91sf
Where are people hosting their Python web apps?
Have a small(ish) FastAPI project I'm working on and trying to decide where to host. I've hosted Ruby apps on EC2, Heroku, and a VPS before. What's the popular Python thing?
/r/Python
https://redd.it/1llwhzr
Watch the DjangoCon Europe 2025 talks
https://www.djangoproject.com/weblog/2025/jun/27/watch-the-djangocon-europe-2025-talks/
/r/django
https://redd.it/1llna1f
Kenneth Reitz (Request library creator) current situation
Kenneth Reitz, known by creating dozens of python open source libraries and tools, some of them like requests library (top 5 still nowadays) and Pipenv (still being used in millions of CI-CD pipelines)
He posted yesterday in LinkedIn (also in X):
>If anyone wants to help by sending me some dollars, that would be tremendously helpful. My checking account is at $0.56. Currently applying for disability, so unable to work due to this. Thanks 🙏 if you wish to help! [venmo.com/u/KennethReitz](http://venmo.com/u/KennethReitz)
* [https://www.linkedin.com/posts/kennethreitz\_venmo-kenneth-reitz-activity-7343376172136771586-n\_Pz](https://www.linkedin.com/posts/kennethreitz_venmo-kenneth-reitz-activity-7343376172136771586-n_Pz)
* [https://x.com/kennethreitz42/status/1937615578182660393](https://x.com/kennethreitz42/status/1937615578182660393)
It can also be seen in his posts history that been looking for a job for about a year:
* [https://www.linkedin.com/in/kennethreitz/recent-activity/all/](https://www.linkedin.com/in/kennethreitz/recent-activity/all/)
Leaving aside the aspects already known in the Python community about his mental health issues, and some controversy, I'm sharing this, thinking that PSF and the whole Python community knows how valuable have been his contributions and cannot be leaved alone in this hard situation he is facing right now.
I encourage everyone that can contribute with any amount that can help him get through this.
References:
* Family: [https://kennethreitz.org/family](https://kennethreitz.org/family)
* His values page on his website: [https://kennethreitz.org/values](https://kennethreitz.org/values)
* His posts on Mental health issues (also notes in the LinkedIn post comments): [https://kennethreitz.org/mental-health](https://kennethreitz.org/mental-health)
* 12 years ago, what ironic post here (looks like he's NOT a millionaire,
/r/Python
https://redd.it/1lkwhk0
Sick of dating apps.
i have been really frustrated with dating apps and the way they work and mostly just dont.
i was so fed up with stupid subscriptions, no matches, ancient profiles, ghosting, showing me people that we have nothing in common. it has been like this forever.
can nobody make a simple dating app? what is so hard about it? in fact how hard can it be?
ghosters? ban them. match collectors? ban them, just limit the matches. frequent unmatchers? ban them. show people that have matching interest with you? make people rate interactions and sort the stack by merit.
right? right!
so i built a very simple dating app and i need testers and users to get it of the ground: https://sickra pythonanywhere.com
( we will move to sickra.com eventually.
but this is a test site. )
the stack page will go online tomorrow thats when you can start swiping, but you can sign up today.
i can do it better and i will prove its not hard either.
stack:
back: flask, flask-login, db sqlite,
front end: html, css, bootstrap and a sprinkle of js to make the magic happen.
/r/flask
https://redd.it/1ll75cz
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/1llfp2q
Kajson: Drop-in JSON replacement with Pydantic v2, polymorphism and type preservation
# What My Project Does
Ever spent hours debugging "Object of type X is not JSON serializable"? Yeah, me too. **Kajson** fixes that nonsense: just swap `import json` with `import kajson as json` and watch your Pydantic models, **datetime objects**, enums, and entire class hierarchies serialize like magic.
* **Polymorphism that just works**: Got a `Pet` with an `Animal` field? Kajson remembers if it's a `Dog` or `Cat` when you deserialize. No discriminators, no unions, no BS.
* **Your existing code stays untouched**: Same `dumps()` and `loads()` you know and love
* **Built for real systems**: Full Pydantic v2 validation on the way back in - because production data is messy
# Target Audience
**This is for builders shipping real stuff**: FastAPI teams, microservice architects, anyone who's tired of writing yet another custom encoder.
**AI/LLM developers doing structured generation**: When your LLM spits out JSON conforming to dynamically created Pydantic schemas, Kajson handles the serialization/deserialization dance across your distributed workers. No more manually reconstructing BaseModels from tool calls.
**Already battle-tested**: We built this at Pipelex because our AI workflow engine needed to serialize complex model hierarchies across distributed workers. If it can handle our chaos, it can handle yours.
# Comparison
**stdlib json**: Forces you to write custom encoders for
/r/Python
https://redd.it/1ll1djh
Good Open Source / Good First Issue Repos for Django
Greetings everyone,
So I'm looking forward to keep learning Django but I would totally love to collaborate on projects that aren't made from scratch since I once heard that in the real world we probably won't be building apps from scratch.
I'm seeking if anyone here knows about or has one open source project I could jump in? Maybe like fixing some bugs or adding some featured that haven't been added, at the moment I'm still pursuing my degree and I got one year left so I believe this is my best option for real life experience as well as professional experience in the field, I can still afford to collaborate without getting payed so I would totally aprreciate if you guys know about anything :)
Thank you very much, have a nice day!
/r/django
https://redd.it/1lklmdf
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/1lklnhr