Ruff 0.4.0 just dropped, with a faster parser and a new language server
Release notes here, seems to be a 20-40% improvement around the board.
This version features a new hand-written parser (rather than a generated one) that is much faster and offers better error messages. It also comes with a new rust-native language server inspired by rust-analyzer, that is multithreaded. I think they’re challenging Pylance’s throne, wouldn’t be surprised if the team goes after type checking next.
/r/Python
https://redd.it/1c7v2ax
Release notes here, seems to be a 20-40% improvement around the board.
This version features a new hand-written parser (rather than a generated one) that is much faster and offers better error messages. It also comes with a new rust-native language server inspired by rust-analyzer, that is multithreaded. I think they’re challenging Pylance’s throne, wouldn’t be surprised if the team goes after type checking next.
/r/Python
https://redd.it/1c7v2ax
astral.sh
Ruff v0.4.0: a hand-written recursive descent parser for Python
Ruff migrates to a hand-written recursive descent parser: >2x faster, with error recovery capabilities.
Project: An Interactive Python Dashboard For Data Storytelling UN Food Security
Python’s Plotly Dash is a powerful tool for creating interactive data visualizations. As a Comp Sci professor, I use it extensively for interactive dashboards.
Its usefulness lies in its ability to create web-based applications directly from Python code, without the need for additional web development skills.
Using UN food security data, let me show you an example of how you can create an interesting and useful Python Plotly dashboard that tells a data story using:
* **A bubble chart:** with variable-sized markers, a bubble chart can represent the severity of undernourishment within a given country. Each bubble visually represents the scale of undernourishment.
* **A horizontal bar chart:** with its rigid organized structure, a horizontal bar chart provides a clear ordered list that emphasizes the 10 most undernourished countries by percentage of population.
* **A dropdown menu:** by Year, allowing the user to see the changing story over a period of time.
These two data visualizations offer a dual perspective on the global picture of undernourishment: one that is geographically broad and another that is focused and comparative.
***Here's a step-by-step project on how to put this all together.***
FREE ARTICLE:
[https://johnloewen.substack.com/p/combining-data-visuals-an-interactive](https://johnloewen.substack.com/p/combining-data-visuals-an-interactive)
​
​
/r/Python
https://redd.it/1c7tkg1
Python’s Plotly Dash is a powerful tool for creating interactive data visualizations. As a Comp Sci professor, I use it extensively for interactive dashboards.
Its usefulness lies in its ability to create web-based applications directly from Python code, without the need for additional web development skills.
Using UN food security data, let me show you an example of how you can create an interesting and useful Python Plotly dashboard that tells a data story using:
* **A bubble chart:** with variable-sized markers, a bubble chart can represent the severity of undernourishment within a given country. Each bubble visually represents the scale of undernourishment.
* **A horizontal bar chart:** with its rigid organized structure, a horizontal bar chart provides a clear ordered list that emphasizes the 10 most undernourished countries by percentage of population.
* **A dropdown menu:** by Year, allowing the user to see the changing story over a period of time.
These two data visualizations offer a dual perspective on the global picture of undernourishment: one that is geographically broad and another that is focused and comparative.
***Here's a step-by-step project on how to put this all together.***
FREE ARTICLE:
[https://johnloewen.substack.com/p/combining-data-visuals-an-interactive](https://johnloewen.substack.com/p/combining-data-visuals-an-interactive)
​
​
/r/Python
https://redd.it/1c7tkg1
Data at Depth
Combining Data Visuals: An Interactive Python Plotly Dashboard For Deeper Storytelling
A tutorial on Python Plotly dashboard code creation for a bubble map and bar chart
Anaconda install taking a long time. Frozen?
Hello,
Trying to do a little training course and it has me installing Anaconda. It has been on Setting up Base environment for over an hour now. Last step reads "preparing transaction...working...done"
And it has not moved. Looking in task manager every now and then the cpu% goes up to like .5% then back down on the installer. 2 _conda remain at 0%
Have never had an issue installing anything before
/r/Python
https://redd.it/1c88588
Hello,
Trying to do a little training course and it has me installing Anaconda. It has been on Setting up Base environment for over an hour now. Last step reads "preparing transaction...working...done"
And it has not moved. Looking in task manager every now and then the cpu% goes up to like .5% then back down on the installer. 2 _conda remain at 0%
Have never had an issue installing anything before
/r/Python
https://redd.it/1c88588
Reddit
From the Python community on Reddit: Anaconda install taking a long time. Frozen?
Posted by BajaBlastMtDew - 2 votes and 10 comments
Please link me some flask website examples.
I am trying to wrap my head around flask's capabilities. I am looking for live examples of websites using flask mostly by itsself with html/css but without javascript or with hardly any javascript or any other programing languages besides python. Huge bonus points if the code is open source.
/r/flask
https://redd.it/1c8aysj
I am trying to wrap my head around flask's capabilities. I am looking for live examples of websites using flask mostly by itsself with html/css but without javascript or with hardly any javascript or any other programing languages besides python. Huge bonus points if the code is open source.
/r/flask
https://redd.it/1c8aysj
Reddit
From the flask community on Reddit
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Connecting Django to an existing database
Hey, so i want to create a simple web-ui for an existing database. It's a Flask page now but for learning purposes I want to move it to Django and now I'm stuck on 1 little thing. That database. It already exists and has quite a bit of data and no id column (as I know Django creates one). It also gets filled with more data by another program.
I'm not sure where to start with this as it would be very nice if it didn't ruin the existing database..
I don't mind reading documentation but I just don't really know what to look for so some key words or functions or whatever to search for would be very helpful already.
I can't be the only one wanting to do this.
/r/djangolearning
https://redd.it/1c86aec
Hey, so i want to create a simple web-ui for an existing database. It's a Flask page now but for learning purposes I want to move it to Django and now I'm stuck on 1 little thing. That database. It already exists and has quite a bit of data and no id column (as I know Django creates one). It also gets filled with more data by another program.
I'm not sure where to start with this as it would be very nice if it didn't ruin the existing database..
I don't mind reading documentation but I just don't really know what to look for so some key words or functions or whatever to search for would be very helpful already.
I can't be the only one wanting to do this.
/r/djangolearning
https://redd.it/1c86aec
Reddit
From the djangolearning community on Reddit
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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/1c8bxz5
# 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/1c8bxz5
YouTube
Data Structures and Algorithms in Python - Full Course for Beginners
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
🔗 Course…
🔗 Course…
Been stuck on an error for a couple of days now - "AttributeError: 'NoneType' object has no attribute
Hello all,
I'm - trying to - make a website that incorperates a flask to do list app.
Following this tutorial.
Everything has gone fine but I'm about 13mins in video 5. I'm at the point of POST to my mongodb but get an error. I understand the something isn't defined correctly but the code is the same the video and his adds to the db just fine?
The error
My code
Any help is really appreciated
/r/flask
https://redd.it/1c82l6u
Hello all,
I'm - trying to - make a website that incorperates a flask to do list app.
Following this tutorial.
Everything has gone fine but I'm about 13mins in video 5. I'm at the point of POST to my mongodb but get an error. I understand the something isn't defined correctly but the code is the same the video and his adds to the db just fine?
The error
My code
Any help is really appreciated
/r/flask
https://redd.it/1c82l6u
YouTube
Flask MongoDB Todo App
Repository Link: Githib Repository: https://github.com/Princekrampah/flaskMongoTodoApp
Unable to send request to containerized flask app
Code for app.py -
from flask import Flask, redirect, urlfor, rendertemplate, request, jsonify
import random
import os
import time
from datetime import datetime
from flasksqlalchemy import SQLAlchemy
from langchaingooglegenai import ChatGoogleGenerativeAI
from langchaincore.messages import HumanMessage, SystemMessage
app = Flask(name)
app.config"SQLALCHEMY_DATABASE_URI" = 'sqlite:///test.db'
db = SQLAlchemy(app)
os.environ"GOOGLE_API_KEY" = ""
class Data(db.Model):
id = db.Column(db.Integer, primarykey=True, autoincrement=True)
request = db.Column(db.Text, nullable=False)
response = db.Column(db.Text)
datetime = db.Column(db.DateTime, default=datetime.utcnow)
# action = db.Column(db.String(80))
def repr(self):
return '<UserData %r - %r>' % (self.request, self.datetime)
@app.route("/", methods = ["POST", "GET"])
def home():
if request.method == "POST":
json = request.getjson()
if json and "query"in json:
question = json'query'
model = ChatGoogleGenerativeAI(model="gemini-pro", convertsystemmessagetohuman=True)
resp = model(
/r/flask
[https://redd.it/1c7tk65
Code for app.py -
from flask import Flask, redirect, urlfor, rendertemplate, request, jsonify
import random
import os
import time
from datetime import datetime
from flasksqlalchemy import SQLAlchemy
from langchaingooglegenai import ChatGoogleGenerativeAI
from langchaincore.messages import HumanMessage, SystemMessage
app = Flask(name)
app.config"SQLALCHEMY_DATABASE_URI" = 'sqlite:///test.db'
db = SQLAlchemy(app)
os.environ"GOOGLE_API_KEY" = ""
class Data(db.Model):
id = db.Column(db.Integer, primarykey=True, autoincrement=True)
request = db.Column(db.Text, nullable=False)
response = db.Column(db.Text)
datetime = db.Column(db.DateTime, default=datetime.utcnow)
# action = db.Column(db.String(80))
def repr(self):
return '<UserData %r - %r>' % (self.request, self.datetime)
@app.route("/", methods = ["POST", "GET"])
def home():
if request.method == "POST":
json = request.getjson()
if json and "query"in json:
question = json'query'
model = ChatGoogleGenerativeAI(model="gemini-pro", convertsystemmessagetohuman=True)
resp = model(
/r/flask
[https://redd.it/1c7tk65
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Can I build a News API ?
So guys, this is my first time building an API. So my question is: is it possible and easy to build a small news API? If yes, where can I can the articles that I should put in the database ?
/r/django
https://redd.it/1c8l4xq
So guys, this is my first time building an API. So my question is: is it possible and easy to build a small news API? If yes, where can I can the articles that I should put in the database ?
/r/django
https://redd.it/1c8l4xq
Reddit
From the django community on Reddit
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How do you implement replies comments ?
I'm in the process of building a blog site and trying to implement replies on comments. Example: post -> comment on post -> comment on comment. What is the process of implementing it on models? Any suggestion or help will be greatly appreciated. Thank you very much. Here are some sample scripts.
​
models.py
class Post(models.Model):
id = models.UUIDField(primary_key=True, editable=False, default=uuid.uuid4)
topic = models.ForeignKey(Topic, on_delete=models.CASCADE, null=True, blank=True)
title = models.CharField(max_length=100)
author = models.ForeignKey(User, on_delete=models.CASCADE, null=True, blank=True, related_name='posts')
image = models.ImageField(
default="post_images/default.webp",
upload_to="post_images",
null=True, blank=True
)
content = models.TextField()
date_posted = models.DateTimeField(auto_now_add=True)
date_updated = models.DateTimeField(auto_now=True)
/r/djangolearning
https://redd.it/1c8sdez
I'm in the process of building a blog site and trying to implement replies on comments. Example: post -> comment on post -> comment on comment. What is the process of implementing it on models? Any suggestion or help will be greatly appreciated. Thank you very much. Here are some sample scripts.
​
models.py
class Post(models.Model):
id = models.UUIDField(primary_key=True, editable=False, default=uuid.uuid4)
topic = models.ForeignKey(Topic, on_delete=models.CASCADE, null=True, blank=True)
title = models.CharField(max_length=100)
author = models.ForeignKey(User, on_delete=models.CASCADE, null=True, blank=True, related_name='posts')
image = models.ImageField(
default="post_images/default.webp",
upload_to="post_images",
null=True, blank=True
)
content = models.TextField()
date_posted = models.DateTimeField(auto_now_add=True)
date_updated = models.DateTimeField(auto_now=True)
/r/djangolearning
https://redd.it/1c8sdez
Reddit
From the djangolearning community on Reddit
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Python icon library with 5237 high-quality icons (Tabler Icons wrapper)
What My Project Does:
pytablericons is a Python wrapper for the tabler-icons project, which provides a set of 5237 free MIT-licensed high-quality SVG icons for web projects with each icon being designed on a 24x24 grid and a 2px stroke.
It allows you to load any of those SVG icons directly into a Pillow PNG Image in any size and color without losing quality and without having to download the icons manually or handling the SVG conversion yourself. For the outline icons, the stroke width is customizable as well. All of this is done in just a single line and since the icon is a Pillow Image, it can then be used easily with basically anything (e.g. PyQt5, PyQt6, PySide2, PySide6, Tkinter, etc.)
Target Audience:
This is useful for any Python developer who is working on UI projects and wants to easily display modern icons in any size and color without losing quality and without having to download each icon manually.
Comparison: /
Links:
Preview: https://github.com/niklashenning/pytablericons/assets/58544929/e13fb020-4d5f-4e28-bd5f-0d5659bd6582
GitHub: https://github.com/niklashenning/pytablericons
/r/Python
https://redd.it/1c8ohrp
What My Project Does:
pytablericons is a Python wrapper for the tabler-icons project, which provides a set of 5237 free MIT-licensed high-quality SVG icons for web projects with each icon being designed on a 24x24 grid and a 2px stroke.
It allows you to load any of those SVG icons directly into a Pillow PNG Image in any size and color without losing quality and without having to download the icons manually or handling the SVG conversion yourself. For the outline icons, the stroke width is customizable as well. All of this is done in just a single line and since the icon is a Pillow Image, it can then be used easily with basically anything (e.g. PyQt5, PyQt6, PySide2, PySide6, Tkinter, etc.)
Target Audience:
This is useful for any Python developer who is working on UI projects and wants to easily display modern icons in any size and color without losing quality and without having to download each icon manually.
Comparison: /
Links:
Preview: https://github.com/niklashenning/pytablericons/assets/58544929/e13fb020-4d5f-4e28-bd5f-0d5659bd6582
GitHub: https://github.com/niklashenning/pytablericons
/r/Python
https://redd.it/1c8ohrp
[P] llama-3-70b on Groq with code interpreting
https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/llama-3-code-interpreter/llama_3_code_interpreter_groq.ipynb
/r/MachineLearning
https://redd.it/1c8uiwi
https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/llama-3-code-interpreter/llama_3_code_interpreter_groq.ipynb
/r/MachineLearning
https://redd.it/1c8uiwi
GitHub
e2b-cookbook/examples/llama-3-code-interpreter/llama_3_code_interpreter_groq.ipynb at main · e2b-dev/e2b-cookbook
Examples and guides for using the E2B API. Contribute to e2b-dev/e2b-cookbook development by creating an account on GitHub.
Hey folks 👋,
Does anyone know how to set up Tailwind with Django? I've been using the CDN, but now I need to push to production.
I've searched for how to set it up, but I didn't find anything useful. It's not even in the Tailwind documentation.
/r/django
https://redd.it/1c8va6k
Does anyone know how to set up Tailwind with Django? I've been using the CDN, but now I need to push to production.
I've searched for how to set it up, but I didn't find anything useful. It's not even in the Tailwind documentation.
/r/django
https://redd.it/1c8va6k
Reddit
From the django community on Reddit
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How to deploy a Django app that uses SQLite for database on a DigitalOcean droplet
https://www.linkedin.com/pulse/deploy-django-app-sqlite-digitalocean-droplet-bashar-ghadanfar-mq7if/?trackingId=g21WoEygQ9KYWUPoyXg2Ng%3D%3D
/r/django
https://redd.it/1c8om0m
https://www.linkedin.com/pulse/deploy-django-app-sqlite-digitalocean-droplet-bashar-ghadanfar-mq7if/?trackingId=g21WoEygQ9KYWUPoyXg2Ng%3D%3D
/r/django
https://redd.it/1c8om0m
Linkedin
Deploy a Django App with SQLite on a DigitalOcean Droplet
A simple tutorial guide of how to deploy a Django app or website with an SQLite database from your GitHub on to a DigitalOcean droplet running Ubuntu 22.04.
D How important is leetcode in ML?
I recently interviewed with a faang for Applied Data Scientist and it went like this:
- 1x ML interview
- 3x Leetcode interviews
- 1x high level system design interview
How important is leetcode to the actual job of ML / DS practitioners? Is it that important to have 3 leetcode problems vs 1 ml problem?
When I am doing interview prep I just feel like I am wasting time doing leetcode when I could be upskilling in other areas in ML or even other technical skills like K8s, cuda or data engineering.
I am interested in knowing what everyone else thinks about this.
/r/MachineLearning
https://redd.it/1c8ygzl
I recently interviewed with a faang for Applied Data Scientist and it went like this:
- 1x ML interview
- 3x Leetcode interviews
- 1x high level system design interview
How important is leetcode to the actual job of ML / DS practitioners? Is it that important to have 3 leetcode problems vs 1 ml problem?
When I am doing interview prep I just feel like I am wasting time doing leetcode when I could be upskilling in other areas in ML or even other technical skills like K8s, cuda or data engineering.
I am interested in knowing what everyone else thinks about this.
/r/MachineLearning
https://redd.it/1c8ygzl
Reddit
From the MachineLearning community on Reddit
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