React + Django html templates
Hi, I inherit a Django project and am currently making small incremental changes. For context I'm a DevOps and Next/React developer. Django is not my strongest suit but I'm comfortable with vanilla Python. One thing that frustrates me the most is Javascript in html templates. Previous devs used both JQuery and pure JS to manipulate the DOM & handle interactive forms. I did this very exact thing many eons ago and hated it because they're so hard to understand and maintain.
How would you incorporate React with html templates?
/r/django
https://redd.it/1mchead
Hi, I inherit a Django project and am currently making small incremental changes. For context I'm a DevOps and Next/React developer. Django is not my strongest suit but I'm comfortable with vanilla Python. One thing that frustrates me the most is Javascript in html templates. Previous devs used both JQuery and pure JS to manipulate the DOM & handle interactive forms. I did this very exact thing many eons ago and hated it because they're so hard to understand and maintain.
How would you incorporate React with html templates?
/r/django
https://redd.it/1mchead
Reddit
From the django community on Reddit
Explore this post and more from the django community
I built a self-hostable Django OIDC provider — pre-release now available
Hey r/django, I wanted to share a project I’ve been working on. A Django-based implementation of an OAuth2 + OpenID Connect provider, built from scratch and designed to be easily self-hosted.
This started partly as a learning project and partly as preparation for a suite of web tools I plan to build in the future. I wanted a central authentication system so users wouldn’t need to sign up separately for each app - something similar to how Google handles auth across products.
# What it does so far:
* Implements OAuth2 and OIDC specs
* Handles registration, email verification, login, and password reset
* Uses Django, PostgreSQL, Redis, Celery, and Nginx
* Fully dockerized and self-hostable
* Includes CLI-style commands to initialize, configure SSL, deploy, and apply migrations
The goal was to make deployment straightforward yet flexible. You can get it running with just a few make commands:
make init
make init-ssl
make deploy
make migrate
Still a lot of polish left (e.g., consent screens, improved token handling, test coverage), but I think it’s a good base if you want a private identity provider setup for your apps or projects.
GitHub: [https://github.com/dakshesh14/django-oidc-provider](https://github.com/dakshesh14/django-oidc-provider)
Write-up and details: [https://www.dakshesh.me/projects/django-oidc-provider](https://www.dakshesh.me/projects/django-oidc-provider)
Would appreciate
/r/django
https://redd.it/1mcf570
Hey r/django, I wanted to share a project I’ve been working on. A Django-based implementation of an OAuth2 + OpenID Connect provider, built from scratch and designed to be easily self-hosted.
This started partly as a learning project and partly as preparation for a suite of web tools I plan to build in the future. I wanted a central authentication system so users wouldn’t need to sign up separately for each app - something similar to how Google handles auth across products.
# What it does so far:
* Implements OAuth2 and OIDC specs
* Handles registration, email verification, login, and password reset
* Uses Django, PostgreSQL, Redis, Celery, and Nginx
* Fully dockerized and self-hostable
* Includes CLI-style commands to initialize, configure SSL, deploy, and apply migrations
The goal was to make deployment straightforward yet flexible. You can get it running with just a few make commands:
make init
make init-ssl
make deploy
make migrate
Still a lot of polish left (e.g., consent screens, improved token handling, test coverage), but I think it’s a good base if you want a private identity provider setup for your apps or projects.
GitHub: [https://github.com/dakshesh14/django-oidc-provider](https://github.com/dakshesh14/django-oidc-provider)
Write-up and details: [https://www.dakshesh.me/projects/django-oidc-provider](https://www.dakshesh.me/projects/django-oidc-provider)
Would appreciate
/r/django
https://redd.it/1mcf570
GitHub
GitHub - dakshesh14/django-oidc-provider: A Django-based OAuth2 and OpenID Connect (OIDC) Identity Provider implementation with…
A Django-based OAuth2 and OpenID Connect (OIDC) Identity Provider implementation with token issuing, user authentication, and user info endpoints. - dakshesh14/django-oidc-provider
Django startup for people struggling to land a job
Hey everyone!
I'm based in London and as a recent graduate, I am finding it tough to land even a junior role or internship in software, especially with Django as my main framework.
Instead of wasting time waiting, I think it would be more productive if a few of us team up and build a real startup-style project together. It’ll help us gain real-world experience, improve our CVs, and who knows — maybe it turns into something serious.
If you’re in or around London (or open to remote work), and you're interested in learning, collaborating, and growing together, please message me or comment below. Let’s build something and help each other break into the industry.
/r/django
https://redd.it/1mcqnqj
Hey everyone!
I'm based in London and as a recent graduate, I am finding it tough to land even a junior role or internship in software, especially with Django as my main framework.
Instead of wasting time waiting, I think it would be more productive if a few of us team up and build a real startup-style project together. It’ll help us gain real-world experience, improve our CVs, and who knows — maybe it turns into something serious.
If you’re in or around London (or open to remote work), and you're interested in learning, collaborating, and growing together, please message me or comment below. Let’s build something and help each other break into the industry.
/r/django
https://redd.it/1mcqnqj
Reddit
From the django community on Reddit
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Is Flask still one of the best options for integrating APIs for AI models?
Hi everyone,
I'm working on some AI and machine learning projects and need to make my models available through an API.
I know Flask is still commonly used for this, but I'm wondering if it's still the best choice these days.
Is Flask still the go-to option for serving AI models via an API, or are there better alternatives in 2025, like FastAPI, Django, or something else?
My main priorities are:
- Easy to use
- Good performance
- Simple deployment (like using Docker)
- Scalability if needed
I'd really appreciate hearing about your experiences or any recommendations for modern tools or stacks that work well for this kind of project.
Thanks I appreciate it!
/r/Python
https://redd.it/1mct7ds
Hi everyone,
I'm working on some AI and machine learning projects and need to make my models available through an API.
I know Flask is still commonly used for this, but I'm wondering if it's still the best choice these days.
Is Flask still the go-to option for serving AI models via an API, or are there better alternatives in 2025, like FastAPI, Django, or something else?
My main priorities are:
- Easy to use
- Good performance
- Simple deployment (like using Docker)
- Scalability if needed
I'd really appreciate hearing about your experiences or any recommendations for modern tools or stacks that work well for this kind of project.
Thanks I appreciate it!
/r/Python
https://redd.it/1mct7ds
Reddit
From the Python community on Reddit
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Archivey - unified interface for ZIP, TAR, RAR, 7z and more
Hi! I've been working on [this project](https://github.com/davitf/archivey) ([PyPI](https://pypi.org/project/archivey)) for the past couple of months, and I feel it's time to share and get some feedback.
# Motivation
While building a tool to organize my backups, I noticed I had to write separate code for each archive type, as each of the format-specific libraries (`zipfile`, `tarfile`, `rarfile`, `py7zr`, etc) has slightly different APIs and quirks.
I couldn’t find a unified, Pythonic library that handled all common formats with the features I needed, so I decided to build one. I figured others might find it useful too.
# What my project does
It provides a simple interface for reading and extracting many archive formats with consistent behavior:
from archivey import open_archive
with open_archive("example.zip") as archive:
archive.extractall("output_dir/")
# Or process each file in the archive without extracting to disk
for member, stream in archive.iter_members_with_streams():
print(member.filename, member.type, member.file_size)
if stream is not
/r/Python
https://redd.it/1mcrerl
Hi! I've been working on [this project](https://github.com/davitf/archivey) ([PyPI](https://pypi.org/project/archivey)) for the past couple of months, and I feel it's time to share and get some feedback.
# Motivation
While building a tool to organize my backups, I noticed I had to write separate code for each archive type, as each of the format-specific libraries (`zipfile`, `tarfile`, `rarfile`, `py7zr`, etc) has slightly different APIs and quirks.
I couldn’t find a unified, Pythonic library that handled all common formats with the features I needed, so I decided to build one. I figured others might find it useful too.
# What my project does
It provides a simple interface for reading and extracting many archive formats with consistent behavior:
from archivey import open_archive
with open_archive("example.zip") as archive:
archive.extractall("output_dir/")
# Or process each file in the archive without extracting to disk
for member, stream in archive.iter_members_with_streams():
print(member.filename, member.type, member.file_size)
if stream is not
/r/Python
https://redd.it/1mcrerl
GitHub
GitHub - davitf/archivey: Python library for reading zip, tar, rar, 7z and other archives
Python library for reading zip, tar, rar, 7z and other archives - davitf/archivey
Training a "Tab Tab" Code Completion Model for Marimo Notebooks
In the spirit of building in public, we're collaborating with Marimo to build a "tab completion" model for their notebook cells, and we wanted to share our progress as we go in tutorial form.
The goal is to create a local, open-source model that provides a Cursor-like code-completion experience directly in notebook cells. You'll be able to download the weights and run it locally with Ollama or access it through a free API we provide.
We’re already seeing promising results by fine-tuning the Qwen and Llama models, but there’s still more work to do.
👉 Here’s the first post in what will be a series:
https://www.oxen.ai/blog/building-a-tab-tab-code-completion-model
If you’re interested in contributing to data collection or the project in general, let us know! We already have a working CodeMirror plugin and are focused on improving the model’s accuracy over the coming weeks.
/r/Python
https://redd.it/1mcrj71
In the spirit of building in public, we're collaborating with Marimo to build a "tab completion" model for their notebook cells, and we wanted to share our progress as we go in tutorial form.
The goal is to create a local, open-source model that provides a Cursor-like code-completion experience directly in notebook cells. You'll be able to download the weights and run it locally with Ollama or access it through a free API we provide.
We’re already seeing promising results by fine-tuning the Qwen and Llama models, but there’s still more work to do.
👉 Here’s the first post in what will be a series:
https://www.oxen.ai/blog/building-a-tab-tab-code-completion-model
If you’re interested in contributing to data collection or the project in general, let us know! We already have a working CodeMirror plugin and are focused on improving the model’s accuracy over the coming weeks.
/r/Python
https://redd.it/1mcrj71
marimo.io
marimo | a next-generation Python notebook
Explore data and build apps seamlessly with marimo, a next-generation Python notebook.
I coded a prototype last night to solve API problems.
Five days ago, I posted here about the difficulty of finding a product on the market that would help my client manage interactions with my API.
I wanted something like a "Shopify" for my API, not an "Amazon" like RapidAPI.
Last night, during one of those sleepless late nights, I decided to finally bring the idea to life and code the prototype of a little product I had in mind.
The concept is simple: give API creators a quick and easy way for their customers to:
\- Generate and manage API keys
\- Track usage and set limits
\- Manage members
\- Set up payments
For now, it’s just a skeleton, but in the next few late nights, I’ll keep building it out.
The goal is to make life a lot easier for those selling APIs.
What do you think?
https://youtu.be/mlKegPNRSw4
/r/django
https://redd.it/1mcl88d
Five days ago, I posted here about the difficulty of finding a product on the market that would help my client manage interactions with my API.
I wanted something like a "Shopify" for my API, not an "Amazon" like RapidAPI.
Last night, during one of those sleepless late nights, I decided to finally bring the idea to life and code the prototype of a little product I had in mind.
The concept is simple: give API creators a quick and easy way for their customers to:
\- Generate and manage API keys
\- Track usage and set limits
\- Manage members
\- Set up payments
For now, it’s just a skeleton, but in the next few late nights, I’ll keep building it out.
The goal is to make life a lot easier for those selling APIs.
What do you think?
https://youtu.be/mlKegPNRSw4
/r/django
https://redd.it/1mcl88d
YouTube
Shopify API prototype
My mail: thalicofernandes@gmail.com
X: thalesvinif
X: thalesvinif
Azure interactions
Hi,
Anyone got any experience with implementing azure into an app with python?
Are there any good libraries for such things :)?
Asking couse I need to figure out an app/platform that actively cooperates with a data base, azure is kinda my first guess for a thing like that.
Any tips welcome :D
/r/Python
https://redd.it/1mczicz
Hi,
Anyone got any experience with implementing azure into an app with python?
Are there any good libraries for such things :)?
Asking couse I need to figure out an app/platform that actively cooperates with a data base, azure is kinda my first guess for a thing like that.
Any tips welcome :D
/r/Python
https://redd.it/1mczicz
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Python Data Engineers: Meet Elusion v3.12.5 - Rust DataFrame Library with Familiar Syntax
Hey Python Data engineers! 👋
I know what you're thinking: "Another post trying to convince me to learn Rust?" But hear me out - Elusion v3.12.5 might be the easiest way for Python, Scala and SQL developers to dip their toes into Rust for data engineering, and here's why it's worth your time.
# 🤔 "I'm comfortable with Python/PySpark why switch?"
Because the syntax is almost identical to what you already know!
Target audience:
If you can write PySpark or SQL, you can write Elusion. Check this out:
PySpark style you know:
result = (salesdf
.join(customersdf, salesdf.CustomerKey == customersdf.CustomerKey, "inner")
.select("c.FirstName", "c.LastName", "s.OrderQuantity")
.groupBy("c.FirstName", "c.LastName")
.agg(sum("s.OrderQuantity").alias("totalquantity"))
.filter(col("totalquantity") > 100)
.orderBy(desc("totalquantity"))
.limit(10))
**Elusion in Rust (almost the same!):**
let result = salesdf
.join(customersdf, ["s.CustomerKey = c.CustomerKey"], "INNER")
.select(["c.FirstName", "c.LastName", "s.OrderQuantity"])
.agg(["SUM(s.OrderQuantity) AS totalquantity"])
/r/Python
https://redd.it/1md030c
Hey Python Data engineers! 👋
I know what you're thinking: "Another post trying to convince me to learn Rust?" But hear me out - Elusion v3.12.5 might be the easiest way for Python, Scala and SQL developers to dip their toes into Rust for data engineering, and here's why it's worth your time.
# 🤔 "I'm comfortable with Python/PySpark why switch?"
Because the syntax is almost identical to what you already know!
Target audience:
If you can write PySpark or SQL, you can write Elusion. Check this out:
PySpark style you know:
result = (salesdf
.join(customersdf, salesdf.CustomerKey == customersdf.CustomerKey, "inner")
.select("c.FirstName", "c.LastName", "s.OrderQuantity")
.groupBy("c.FirstName", "c.LastName")
.agg(sum("s.OrderQuantity").alias("totalquantity"))
.filter(col("totalquantity") > 100)
.orderBy(desc("totalquantity"))
.limit(10))
**Elusion in Rust (almost the same!):**
let result = salesdf
.join(customersdf, ["s.CustomerKey = c.CustomerKey"], "INNER")
.select(["c.FirstName", "c.LastName", "s.OrderQuantity"])
.agg(["SUM(s.OrderQuantity) AS totalquantity"])
/r/Python
https://redd.it/1md030c
Reddit
From the Python community on Reddit
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If you want to use vibe coding, make sure you fully understand the whole project
I am using python and finite element library FEnicsx0.9 to write a project about compressible flow, I am using FEnicsx0.9, few weeks ago I think AI can let me code the project in one night as long as I give it the whole project algorithm and formulas, now I figure out that if you don't fully understand the whole library you are using and the detail of the whole project you are coding, relying on AI too much will become a disaster, vibe coding is hyped too much
/r/Python
https://redd.it/1md01j6
I am using python and finite element library FEnicsx0.9 to write a project about compressible flow, I am using FEnicsx0.9, few weeks ago I think AI can let me code the project in one night as long as I give it the whole project algorithm and formulas, now I figure out that if you don't fully understand the whole library you are using and the detail of the whole project you are coding, relying on AI too much will become a disaster, vibe coding is hyped too much
/r/Python
https://redd.it/1md01j6
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Flask + PostgreSQL + Flask-Migrate works locally but not on Render (no tables created)
I'm deploying a Flask app to Render using PostgreSQL and Flask-Migrate. Everything works fine on localhost — tables get created, data stores properly, no issues at all.
But after deploying to Render:
* The app runs, but any DB-related operation causes a 500 Internal Server Error.
* I’ve added the `DATABASE_URL` in Render environment .
* My app uses Flask-Migrate. I’ve run `flask db init`, m`igrate`, and `upgrade` locally.
* On Render, I don’t see any tables created in the database (even after deployment).
* How to solve this ? Can anybody give full steps i asked claude , gpt ,grok etc but no use i am missing out something.
/r/flask
https://redd.it/1md6i0f
I'm deploying a Flask app to Render using PostgreSQL and Flask-Migrate. Everything works fine on localhost — tables get created, data stores properly, no issues at all.
But after deploying to Render:
* The app runs, but any DB-related operation causes a 500 Internal Server Error.
* I’ve added the `DATABASE_URL` in Render environment .
* My app uses Flask-Migrate. I’ve run `flask db init`, m`igrate`, and `upgrade` locally.
* On Render, I don’t see any tables created in the database (even after deployment).
* How to solve this ? Can anybody give full steps i asked claude , gpt ,grok etc but no use i am missing out something.
/r/flask
https://redd.it/1md6i0f
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
I coded a prototype last night to solve API problems.
Five days ago, I posted here about the difficulty of finding a product on the market that would help my client manage interactions with my API.
I wanted something like a "Shopify" for my API, not an "Amazon" like RapidAPI.
Last night, during one of those sleepless late nights, I decided to finally bring the idea to life and code the prototype of a little product I had in mind.
The concept is simple: give API creators a quick and easy way for their customers to:
\- Generate and manage API keys
\- Track usage and set limits
\- Manage members
\- Set up payments
For now, it’s just a skeleton, but in the next few late nights, I’ll keep building it out.
The goal is to make life a lot easier for those selling APIs.
What do you think?
https://reddit.com/link/1mclbrj/video/8nakl4hj9vff1/player
/r/flask
https://redd.it/1mclbrj
Five days ago, I posted here about the difficulty of finding a product on the market that would help my client manage interactions with my API.
I wanted something like a "Shopify" for my API, not an "Amazon" like RapidAPI.
Last night, during one of those sleepless late nights, I decided to finally bring the idea to life and code the prototype of a little product I had in mind.
The concept is simple: give API creators a quick and easy way for their customers to:
\- Generate and manage API keys
\- Track usage and set limits
\- Manage members
\- Set up payments
For now, it’s just a skeleton, but in the next few late nights, I’ll keep building it out.
The goal is to make life a lot easier for those selling APIs.
What do you think?
https://reddit.com/link/1mclbrj/video/8nakl4hj9vff1/player
/r/flask
https://redd.it/1mclbrj
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Lessons Learned While Trying to Scrape Google Search Results With Python
I’ve been experimenting with Python web scraping recently, and one of the toughest challenges so far has been scraping Google search results reliably. I expected it to be as simple as
Here’s what I’ve learned from trial and error:
🔹 Google is quick to detect scraping attempts.
Even with random headers, delays, and proxies, it doesn’t take long before CAPTCHAs or temporary blocks pop up. At one point, I could barely scrape 2–3 pages before getting cut off.
🔹 Pagination isn’t consistent.
It’s not just
🔹 JavaScript rendering is almost a requirement now.
Some SERPs don’t fully load without JS enabled. Static requests often return stripped-down or incomplete results, which makes BeautifulSoup parsing unreliable unless you use something like Playwright or an API that supports rendering.
🔹 Data cleaning matters.
Google adds a ton of extra formatting, tracking parameters, and “People Also Ask” blocks. I ended up writing extra functions just to extract clean titles, links, and snippets.
I know scraping Google is a grey area, but it’s a common data engineering
/r/Python
https://redd.it/1md4zmu
I’ve been experimenting with Python web scraping recently, and one of the toughest challenges so far has been scraping Google search results reliably. I expected it to be as simple as
requests + BeautifulSoup, but it wasn’t.Here’s what I’ve learned from trial and error:
🔹 Google is quick to detect scraping attempts.
Even with random headers, delays, and proxies, it doesn’t take long before CAPTCHAs or temporary blocks pop up. At one point, I could barely scrape 2–3 pages before getting cut off.
🔹 Pagination isn’t consistent.
It’s not just
&start=10 for every page—sometimes the results shift or display fewer items than what’s in the browser. You need to account for unexpected page behavior.🔹 JavaScript rendering is almost a requirement now.
Some SERPs don’t fully load without JS enabled. Static requests often return stripped-down or incomplete results, which makes BeautifulSoup parsing unreliable unless you use something like Playwright or an API that supports rendering.
🔹 Data cleaning matters.
Google adds a ton of extra formatting, tracking parameters, and “People Also Ask” blocks. I ended up writing extra functions just to extract clean titles, links, and snippets.
I know scraping Google is a grey area, but it’s a common data engineering
/r/Python
https://redd.it/1md4zmu
Reddit
From the Python community on Reddit: Lessons Learned While Trying to Scrape Google Search Results With Python
Explore this post and more from the Python community
large django project experiencing 502
My project has been experiencing 502 recently. I am running on gunicon with nginx. I don't really want to increase the timeout unless I have too. I have several models with object counts into 400k and another in 2 million objects. The 502 only occurs on PATCH requests. I suspect that the number of objects is causing the issue. What are some possible solutions I should look into?
/r/django
https://redd.it/1mddk6d
My project has been experiencing 502 recently. I am running on gunicon with nginx. I don't really want to increase the timeout unless I have too. I have several models with object counts into 400k and another in 2 million objects. The 502 only occurs on PATCH requests. I suspect that the number of objects is causing the issue. What are some possible solutions I should look into?
/r/django
https://redd.it/1mddk6d
Reddit
From the django community on Reddit
Explore this post and more from the django community
`tokenize`: a tip and a trap
[`tokenize`](https://docs.python.org/3/library/tokenize.html) from the standard library is not often useful, but I had the pleasure of using it in a recent project.
Try `python -m tokenize <some-short-program>`, or `python -m tokenize` to experiment at the command line.
-----
The tip is this: `tokenize.generate_tokens` expects [a readline function that spits out lines as strings when called repeatedly](https://docs.python.org/3/library/tokenize.html#tokenize.generate_tokens), so if you want to mock calls to it, you need something like this:
lines = s.splitlines()
return tokenize.generate_tokens(iter(lines).__next__)
(Use `tokenize.tokenize` if you always have strings.)
----
The trap: there was a breaking change in the tokenizer between Python 3.11 and Python 3.12 because of the formalization of the grammar for f-strings from [PEP 701](https://docs.python.org/3/whatsnew/3.12.html#pep-701-syntactic-formalization-of-f-strings).
$ echo 'a = f" {h:{w}} "' | python3.11 -m tokenize
1,0-1,1: NAME 'a'
1,2-1,3: OP '='
/r/Python
https://redd.it/1mdag10
[`tokenize`](https://docs.python.org/3/library/tokenize.html) from the standard library is not often useful, but I had the pleasure of using it in a recent project.
Try `python -m tokenize <some-short-program>`, or `python -m tokenize` to experiment at the command line.
-----
The tip is this: `tokenize.generate_tokens` expects [a readline function that spits out lines as strings when called repeatedly](https://docs.python.org/3/library/tokenize.html#tokenize.generate_tokens), so if you want to mock calls to it, you need something like this:
lines = s.splitlines()
return tokenize.generate_tokens(iter(lines).__next__)
(Use `tokenize.tokenize` if you always have strings.)
----
The trap: there was a breaking change in the tokenizer between Python 3.11 and Python 3.12 because of the formalization of the grammar for f-strings from [PEP 701](https://docs.python.org/3/whatsnew/3.12.html#pep-701-syntactic-formalization-of-f-strings).
$ echo 'a = f" {h:{w}} "' | python3.11 -m tokenize
1,0-1,1: NAME 'a'
1,2-1,3: OP '='
/r/Python
https://redd.it/1mdag10
Python documentation
tokenize — Tokenizer for Python source
Source code: Lib/tokenize.py The tokenize module provides a lexical scanner for Python source code, implemented in Python. The scanner in this module returns comments as tokens as well, making it u...
CLI Tool For Quickly Navigating Your File System (Arch Linux)
So i just made and uploaded my first package to the aur, the source code is availble at https://github.com/BravestCheetah/DirLink .
The Idea
So as i am an arch user and is obsessed with clean folder structure, so my coding projects are quite deep in my file system, i looked for some type of macro or tool to store paths to quickly access them later so i dont have to type out " cd /mnt/nvme0/programming/python/DirLinkAUR/dirlink" all the time when coding (thats an example path). Sadly i found nothing and decided to develop it myself.
Problems I Encountered
I encountered one big problem, my first idea was to save paths and then with a single command it would automatically cd into that directory, but i realised quite quickly i couldnt run a cd command in the users active command prompt, so i kinda went around it, by utilizing pyperclip i managed to copy the command to the users clipboard instead of automatically running the command, even though the user now has to do one more step it turned out great and it is still a REALLY useful tool, at least for me.
What My Project Does
I resulted in a cli tool which has the "dirlink" command with
/r/Python
https://redd.it/1mdfeh3
So i just made and uploaded my first package to the aur, the source code is availble at https://github.com/BravestCheetah/DirLink .
The Idea
So as i am an arch user and is obsessed with clean folder structure, so my coding projects are quite deep in my file system, i looked for some type of macro or tool to store paths to quickly access them later so i dont have to type out " cd /mnt/nvme0/programming/python/DirLinkAUR/dirlink" all the time when coding (thats an example path). Sadly i found nothing and decided to develop it myself.
Problems I Encountered
I encountered one big problem, my first idea was to save paths and then with a single command it would automatically cd into that directory, but i realised quite quickly i couldnt run a cd command in the users active command prompt, so i kinda went around it, by utilizing pyperclip i managed to copy the command to the users clipboard instead of automatically running the command, even though the user now has to do one more step it turned out great and it is still a REALLY useful tool, at least for me.
What My Project Does
I resulted in a cli tool which has the "dirlink" command with
/r/Python
https://redd.it/1mdfeh3
GitHub
GitHub - BravestCheetah/DirLink: A Tiny Cli Tool For Easier File System Navigation in The Terminal
A Tiny Cli Tool For Easier File System Navigation in The Terminal - BravestCheetah/DirLink
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/1mdmo51
# 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/1mdmo51
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Granian 2.5 is out
Granian – the Rust HTTP server for Python applications – 2.5 was just released.
Main highlights from this release are:
support for listening on Unix Domain Sockets
memory limiter for workers
Full release details: https://github.com/emmett-framework/granian/releases/tag/v2.5.0
Project repo: https://github.com/emmett-framework/granian
PyPi: https://pypi.org/p/granian
/r/Python
https://redd.it/1mdi14s
Granian – the Rust HTTP server for Python applications – 2.5 was just released.
Main highlights from this release are:
support for listening on Unix Domain Sockets
memory limiter for workers
Full release details: https://github.com/emmett-framework/granian/releases/tag/v2.5.0
Project repo: https://github.com/emmett-framework/granian
PyPi: https://pypi.org/p/granian
/r/Python
https://redd.it/1mdi14s
GitHub
GitHub - emmett-framework/granian: A Rust HTTP server for Python applications
A Rust HTTP server for Python applications. Contribute to emmett-framework/granian development by creating an account on GitHub.