Stockstir is a Python library that lets you get stock information from any script at no cost
Hello!
Just wanted to quickly showcase my project, Stockstir, which may be of use to many of you that want to follow stock prices freely in any script.
What My Project Does
Stockstir is an easy way to instantly gather stock data from any of your Python scripts. Not only that, but it includes other features, such as multi data gathering, anti ban, a fail-safe mechanism, random user agents, and much more.
Target Audience
Stockstir is for everyone that needs to gather realtime company stock info from any of their scripts. It mostly differs from any other stock related project in the way that it is simple, and doesn't rely on apis that cost money.
Comparison
Stockstir differs from other methods of gathering stock data in that it is has a very simple concept behind it. It is largely a GET wrapper in the Tools class, but initial API support such as Alpha Vantage, as well as gathering much more data of a Company stock through cnbc's JSON api, under the API class. It is mostly a quick way to gather stock data through simple use.
You can find installation instructions and other information under the project link provided below:
Link: Stockstir Project Link
To see the latest Changelog information,
/r/Python
https://redd.it/1hfmmm5
Hello!
Just wanted to quickly showcase my project, Stockstir, which may be of use to many of you that want to follow stock prices freely in any script.
What My Project Does
Stockstir is an easy way to instantly gather stock data from any of your Python scripts. Not only that, but it includes other features, such as multi data gathering, anti ban, a fail-safe mechanism, random user agents, and much more.
Target Audience
Stockstir is for everyone that needs to gather realtime company stock info from any of their scripts. It mostly differs from any other stock related project in the way that it is simple, and doesn't rely on apis that cost money.
Comparison
Stockstir differs from other methods of gathering stock data in that it is has a very simple concept behind it. It is largely a GET wrapper in the Tools class, but initial API support such as Alpha Vantage, as well as gathering much more data of a Company stock through cnbc's JSON api, under the API class. It is mostly a quick way to gather stock data through simple use.
You can find installation instructions and other information under the project link provided below:
Link: Stockstir Project Link
To see the latest Changelog information,
/r/Python
https://redd.it/1hfmmm5
GitHub
GitHub - PatzEdi/Stockstir: Easily gather stock data of any company in any of your Python projects
Easily gather stock data of any company in any of your Python projects - PatzEdi/Stockstir
P Graph-Based Editor for LLM Workflows
We made an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows: https://github.com/PySpur-Dev/PySpur
Why we built this:
Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results.
In practice, achieving this reliability meant repeatedly:
1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching logic.
2. Debugging failures: Identifying which part of the workflow broke and why.
3. Measuring performance: Assessing changes against real metrics to confirm actual improvement.
We tried some existing observability tools or agent frameworks and they fell short on at least one of these three dimensions. We wanted something that allowed us to iterate quickly and stay focused on improvement rather than wrestling with multiple disconnected tools or code scripts.
We eventually arrived at three principles upon which we built PySpur :
1. Graph-based interface: We can lay out an LLM workflow as a node graph. A node can be an LLM call, a function call, a parsing step, or any logic component. The visual structure provides an instant overview, making complex workflows more intuitive.
2. Integrated debugging: When
/r/MachineLearning
https://redd.it/1hfr4sg
We made an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows: https://github.com/PySpur-Dev/PySpur
Why we built this:
Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results.
In practice, achieving this reliability meant repeatedly:
1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching logic.
2. Debugging failures: Identifying which part of the workflow broke and why.
3. Measuring performance: Assessing changes against real metrics to confirm actual improvement.
We tried some existing observability tools or agent frameworks and they fell short on at least one of these three dimensions. We wanted something that allowed us to iterate quickly and stay focused on improvement rather than wrestling with multiple disconnected tools or code scripts.
We eventually arrived at three principles upon which we built PySpur :
1. Graph-based interface: We can lay out an LLM workflow as a node graph. A node can be an LLM call, a function call, a parsing step, or any logic component. The visual structure provides an instant overview, making complex workflows more intuitive.
2. Integrated debugging: When
/r/MachineLearning
https://redd.it/1hfr4sg
GitHub
GitHub - PySpur-Dev/pyspur: A visual playground for agentic workflows: Iterate over your agents 10x faster
A visual playground for agentic workflows: Iterate over your agents 10x faster - PySpur-Dev/pyspur
Tuesday Daily Thread: Advanced questions
# Weekly Wednesday Thread: Advanced Questions 🐍
Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.
## How it Works:
1. **Ask Away**: Post your advanced Python questions here.
2. **Expert Insights**: Get answers from experienced developers.
3. **Resource Pool**: Share or discover tutorials, articles, and tips.
## Guidelines:
* This thread is for **advanced questions only**. Beginner questions are welcome in our [Daily Beginner Thread](#daily-beginner-thread-link) every Thursday.
* Questions that are not advanced may be removed and redirected to the appropriate thread.
## Recommended Resources:
* If you don't receive a response, consider exploring r/LearnPython or join the [Python Discord Server](https://discord.gg/python) for quicker assistance.
## Example Questions:
1. **How can you implement a custom memory allocator in Python?**
2. **What are the best practices for optimizing Cython code for heavy numerical computations?**
3. **How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?**
4. **Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?**
5. **How would you go about implementing a distributed task queue using Celery and RabbitMQ?**
6. **What are some advanced use-cases for Python's decorators?**
7. **How can you achieve real-time data streaming in Python with WebSockets?**
8. **What are the
/r/Python
https://redd.it/1hfxi6n
# Weekly Wednesday Thread: Advanced Questions 🐍
Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.
## How it Works:
1. **Ask Away**: Post your advanced Python questions here.
2. **Expert Insights**: Get answers from experienced developers.
3. **Resource Pool**: Share or discover tutorials, articles, and tips.
## Guidelines:
* This thread is for **advanced questions only**. Beginner questions are welcome in our [Daily Beginner Thread](#daily-beginner-thread-link) every Thursday.
* Questions that are not advanced may be removed and redirected to the appropriate thread.
## Recommended Resources:
* If you don't receive a response, consider exploring r/LearnPython or join the [Python Discord Server](https://discord.gg/python) for quicker assistance.
## Example Questions:
1. **How can you implement a custom memory allocator in Python?**
2. **What are the best practices for optimizing Cython code for heavy numerical computations?**
3. **How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?**
4. **Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?**
5. **How would you go about implementing a distributed task queue using Celery and RabbitMQ?**
6. **What are some advanced use-cases for Python's decorators?**
7. **How can you achieve real-time data streaming in Python with WebSockets?**
8. **What are the
/r/Python
https://redd.it/1hfxi6n
Discord
Join the Python Discord Server!
We're a large community focused around the Python programming language. We believe that anyone can learn to code. | 412982 members
Laravel Developer Inheriting a Flask App
Hey all - I've been writing web apps in Laravel pretty much exclusively for the past 10 years. I was hired on by a client who said their previous developer was bailing on them and taking his code with him and I had 3 weeks to recreate his work. I was excited for the challenge. Now they've made nice enough with the previous developer (paying him the $50k of back pay they owed him - red flag!) that he's going to give me the source for the existing app. Turns out it's written in Python/Flask.
They're giving it to me in an AWS AMI that I theoretically just spin up in a new environment and it's good to go - includes all the RabbitMQ stuff, cron jobs, apache setup, etc.
The kicker though is that they want me to sign on to support this thing for a year or more. I was excited about that part too when I thought it was something I was going to write from the ground up and know inside and out. Supporting somebody else's stuff in a stack I don't understand... different enchilada.
Anybody here worked in both Laravel and Flask that might have some insight
/r/flask
https://redd.it/1hg1pbq
Hey all - I've been writing web apps in Laravel pretty much exclusively for the past 10 years. I was hired on by a client who said their previous developer was bailing on them and taking his code with him and I had 3 weeks to recreate his work. I was excited for the challenge. Now they've made nice enough with the previous developer (paying him the $50k of back pay they owed him - red flag!) that he's going to give me the source for the existing app. Turns out it's written in Python/Flask.
They're giving it to me in an AWS AMI that I theoretically just spin up in a new environment and it's good to go - includes all the RabbitMQ stuff, cron jobs, apache setup, etc.
The kicker though is that they want me to sign on to support this thing for a year or more. I was excited about that part too when I thought it was something I was going to write from the ground up and know inside and out. Supporting somebody else's stuff in a stack I don't understand... different enchilada.
Anybody here worked in both Laravel and Flask that might have some insight
/r/flask
https://redd.it/1hg1pbq
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
selfie-lib - snapshot testing *and* caching/memoization (useful for testing against genAI)
# What My Project Does
selfie-lib is a snapshot testing library ([docs](https://selfie.dev/py/get-started#quickstart), [source](https://github.com/diffplug/selfie)), with a few novel features. At its most basic, it functions like `print` but it writes into your sourcecode instead of the console. You write a test like this:
expect_selfie(primes_under(15)).to_be_TODO()
When you run the test, selfie automatically rewrites the test code by calling `repl()` on the result of `primes_under(15)`, e.g.
expect_selfie(primes_under(15)).to_be([2, 3, 5, 7, 11, 13])
Now that the method call is `to_be` instead of `to_be_TODO`, this will throw an `AssertionError` if the `primes_under(15)` call ever changes its output.
That's standard snapshot testing stuff, the other things it can do are
* save snapshots inline with the source code or on disk
* [https://selfie.dev/py/facets#harmonizing-disk-and-inline-literals](https://selfie.dev/py/facets#harmonizing-disk-and-inline-literals)
* you can use snapshots to cache/memoize the results of slow & non-deterministic APIs (e.g generative AI), and build other test infrastructure on top of that snapshotted data
* [https://selfie.dev/py/cache#example](https://selfie.dev/py/cache#example)
# Target Audience
**People who test their code with** `print`. Just replace `print` with `expect_selfie(...).to_be_TODO()` and you can turn that `print` into a repeatable test.
**People who are building applications with nondeterministic or slow components, such as generative AI.** You don't want to hit the model for every unit test on the
/r/Python
https://redd.it/1hfwri1
# What My Project Does
selfie-lib is a snapshot testing library ([docs](https://selfie.dev/py/get-started#quickstart), [source](https://github.com/diffplug/selfie)), with a few novel features. At its most basic, it functions like `print` but it writes into your sourcecode instead of the console. You write a test like this:
expect_selfie(primes_under(15)).to_be_TODO()
When you run the test, selfie automatically rewrites the test code by calling `repl()` on the result of `primes_under(15)`, e.g.
expect_selfie(primes_under(15)).to_be([2, 3, 5, 7, 11, 13])
Now that the method call is `to_be` instead of `to_be_TODO`, this will throw an `AssertionError` if the `primes_under(15)` call ever changes its output.
That's standard snapshot testing stuff, the other things it can do are
* save snapshots inline with the source code or on disk
* [https://selfie.dev/py/facets#harmonizing-disk-and-inline-literals](https://selfie.dev/py/facets#harmonizing-disk-and-inline-literals)
* you can use snapshots to cache/memoize the results of slow & non-deterministic APIs (e.g generative AI), and build other test infrastructure on top of that snapshotted data
* [https://selfie.dev/py/cache#example](https://selfie.dev/py/cache#example)
# Target Audience
**People who test their code with** `print`. Just replace `print` with `expect_selfie(...).to_be_TODO()` and you can turn that `print` into a repeatable test.
**People who are building applications with nondeterministic or slow components, such as generative AI.** You don't want to hit the model for every unit test on the
/r/Python
https://redd.it/1hfwri1
selfie.dev
Selfie Python Snapshot Testing | Get started
Zero-config inline and disk snapshots for Python. Add a single dependency and you're all set.
Advice for Landing an Entry-Level Django Developer Job Without Professional Experience
Hi everyone,
I’ve been learning Django for a while and have built a few personal projects to strengthen my skills. While I feel confident in my abilities, I don’t yet have professional development experience. Because of this, I’ve been struggling to land an entry-level or junior developer role.
I’d love to hear feedback or advice from seasoned developers or anyone currently working in the field. Your feedback and advice are truly priceless to me, and I deeply appreciate any insights you can share.
I’m planning to include my resume and a link to my portfolio in this post for reference. Any tips or suggestions on how I can improve them, or general advice about entering the field, would mean a lot to me.
Thank you so much for your time and help!
Portfolio , Resume
/r/django
https://redd.it/1hg5lc8
Hi everyone,
I’ve been learning Django for a while and have built a few personal projects to strengthen my skills. While I feel confident in my abilities, I don’t yet have professional development experience. Because of this, I’ve been struggling to land an entry-level or junior developer role.
I’d love to hear feedback or advice from seasoned developers or anyone currently working in the field. Your feedback and advice are truly priceless to me, and I deeply appreciate any insights you can share.
I’m planning to include my resume and a link to my portfolio in this post for reference. Any tips or suggestions on how I can improve them, or general advice about entering the field, would mean a lot to me.
Thank you so much for your time and help!
Portfolio , Resume
/r/django
https://redd.it/1hg5lc8
TypeScribe: A Python GUI App for organic Handwritten Text Generation with Machine Learning
Hey folks, just sharing a little side project I have been working on.
I was looking for a handwritten text generator, but since most of them rely on fixed fonts, the consistency becomes an obvious give away. So, I decided to build one on my own.
# TypeScribe v1.0
I'm excited to introduce TypeScribe, a program that converts text into organic handwritten text using a Recurrent Neural Network (RNN) trained on real handwriting samples. In documents generated with TypeScribe, every stroke, curve, and loop is unique.
What My Project Does
With TypeScribe, you can customize every aspect of the your handwritten documents including:
12 unique handwriting styles to choose from
Page, Line and Margin color customization
Page Dimensions
Ink Color, Pen Thickness Customization
Handwriting Consistency (Neatness)
and many more!
Target Audience
With TypeScribe, you can:
1. Create organic handwritten letters (in cursive!).
2. Fill in your notebooks!
3. Send out handwritten Christmas cards, just in time!
4. Add a personal touch to absolutely anything.
TypeScribe can automatically split large texts into multiple pages, and YOU get to specify how many lines to write per page!
When you create a document with TypeScribe, it generates an SVG file that can be scaled with zero loss in quality. All you have to do is paste
/r/Python
https://redd.it/1hg682r
Hey folks, just sharing a little side project I have been working on.
I was looking for a handwritten text generator, but since most of them rely on fixed fonts, the consistency becomes an obvious give away. So, I decided to build one on my own.
# TypeScribe v1.0
I'm excited to introduce TypeScribe, a program that converts text into organic handwritten text using a Recurrent Neural Network (RNN) trained on real handwriting samples. In documents generated with TypeScribe, every stroke, curve, and loop is unique.
What My Project Does
With TypeScribe, you can customize every aspect of the your handwritten documents including:
12 unique handwriting styles to choose from
Page, Line and Margin color customization
Page Dimensions
Ink Color, Pen Thickness Customization
Handwriting Consistency (Neatness)
and many more!
Target Audience
With TypeScribe, you can:
1. Create organic handwritten letters (in cursive!).
2. Fill in your notebooks!
3. Send out handwritten Christmas cards, just in time!
4. Add a personal touch to absolutely anything.
TypeScribe can automatically split large texts into multiple pages, and YOU get to specify how many lines to write per page!
When you create a document with TypeScribe, it generates an SVG file that can be scaled with zero loss in quality. All you have to do is paste
/r/Python
https://redd.it/1hg682r
GitHub
GitHub - rudyoactiv/typescribe-handwriting: ⚡ Create handwritten documents from text with a Neural Network!
⚡ Create handwritten documents from text with a Neural Network! - rudyoactiv/typescribe-handwriting
AF
My flask code display 'Method Not Found' ,although the "GET" request is working properly . Can any one help me ,please
https://preview.redd.it/fmkkpnbwx87e1.png?width=921&format=png&auto=webp&s=2df436fb1e713a05fb33fc31f4ef8c00f5432bd8
/r/flask
https://redd.it/1hfoj57
My flask code display 'Method Not Found' ,although the "GET" request is working properly . Can any one help me ,please
https://preview.redd.it/fmkkpnbwx87e1.png?width=921&format=png&auto=webp&s=2df436fb1e713a05fb33fc31f4ef8c00f5432bd8
/r/flask
https://redd.it/1hfoj57
Py-Cachify 2.0 - Distributed Locks and Handy Caching Decorators
What My Project Does
Py-Cachify is a robust caching and locking library for Python applications. I recently published a significant 2.0 update introducing several improvements, including enhanced locking versatility, revamped documentation, automatically attachable helper methods, and more. This library simplifies the implementation of caching and locking, offering decorators to easily integrate these features into your code.
Target Audience
This library is ideal for developers looking to optimize their Python applications, whether for production use or personal projects. Its features cater to both novice and experienced Python developers.
Comparison
Py-Cachify focuses on the simplicity of cache and lock implementations, prioritizing ease and flexibility of use in any app over complex caching/locking strategies. One of its standout features is dynamic key generation based on function signatures without any external dependency, allowing you to cache function results with context-aware keys.
Additionally, it works in both synchronous and asynchronous environments and is fully type-annotated for enhanced IDE support.
The source code is on GitHub.
The new documentation is here.
Feedback and feature requests are appreciated!
/r/Python
https://redd.it/1hftk6a
What My Project Does
Py-Cachify is a robust caching and locking library for Python applications. I recently published a significant 2.0 update introducing several improvements, including enhanced locking versatility, revamped documentation, automatically attachable helper methods, and more. This library simplifies the implementation of caching and locking, offering decorators to easily integrate these features into your code.
Target Audience
This library is ideal for developers looking to optimize their Python applications, whether for production use or personal projects. Its features cater to both novice and experienced Python developers.
Comparison
Py-Cachify focuses on the simplicity of cache and lock implementations, prioritizing ease and flexibility of use in any app over complex caching/locking strategies. One of its standout features is dynamic key generation based on function signatures without any external dependency, allowing you to cache function results with context-aware keys.
Additionally, it works in both synchronous and asynchronous environments and is fully type-annotated for enhanced IDE support.
The source code is on GitHub.
The new documentation is here.
Feedback and feature requests are appreciated!
/r/Python
https://redd.it/1hftk6a
GitHub
GitHub - EzyGang/py-cachify: Caching and distributed locks in your applications with just one or two lines. Easy to learn. Fast…
Caching and distributed locks in your applications with just one or two lines. Easy to learn. Fast to code. - EzyGang/py-cachify
WOWY - A Full-Featured E-commerce Platform with Stripe Integration
Hi everyone! I wanted to share my Django e-commerce project that I've been working on. It's a comprehensive solution with a modern UI and robust admin features.
# Key Features
**Product Management**
* Multi-image product support with primary/gallery images
* Category management
* Stock tracking
* Price and discount management
* Advanced search/filtering
**Orders & Payments**
* Stripe integration
* Cash on delivery option
* PDF invoice generation
* Order status tracking
* Multiple shipping addresses
**User Features**
* Customer accounts/profiles
* Wishlist functionality
* Real-time cart operations
* Order history
* Address management
**Admin Dashboard**
* Sales analytics and reporting
* Customer insights
* Product performance metrics
* Payment method analysis
* Comprehensive order management
**Technical Details**
* Django 4.x
* PostgreSQL/SQLite
* Stripe/djstripe for payments
* Bootstrap for frontend
* jQuery for interactivity
**Code Example**
Here's how the Stripe integration is implemented:
class StripeMixin:
def setup_stripe(self):
"""Configure Stripe with API keys from djstripe"""
try:
# Get Stripe keys from djstripe
publishable_key = APIKey.objects.get(type=APIKeyType.publishable).secret
/r/django
https://redd.it/1hg7d2y
Hi everyone! I wanted to share my Django e-commerce project that I've been working on. It's a comprehensive solution with a modern UI and robust admin features.
# Key Features
**Product Management**
* Multi-image product support with primary/gallery images
* Category management
* Stock tracking
* Price and discount management
* Advanced search/filtering
**Orders & Payments**
* Stripe integration
* Cash on delivery option
* PDF invoice generation
* Order status tracking
* Multiple shipping addresses
**User Features**
* Customer accounts/profiles
* Wishlist functionality
* Real-time cart operations
* Order history
* Address management
**Admin Dashboard**
* Sales analytics and reporting
* Customer insights
* Product performance metrics
* Payment method analysis
* Comprehensive order management
**Technical Details**
* Django 4.x
* PostgreSQL/SQLite
* Stripe/djstripe for payments
* Bootstrap for frontend
* jQuery for interactivity
**Code Example**
Here's how the Stripe integration is implemented:
class StripeMixin:
def setup_stripe(self):
"""Configure Stripe with API keys from djstripe"""
try:
# Get Stripe keys from djstripe
publishable_key = APIKey.objects.get(type=APIKeyType.publishable).secret
/r/django
https://redd.it/1hg7d2y
Reddit
From the django community on Reddit: WOWY - A Full-Featured E-commerce Platform with Stripe Integration
Explore this post and more from the django community
Displaying HTTP response code in Jinja
I want to display the response code sent from my Flask backend (e.g. 400 200 201 etc.) in Jinja - how can I access this?
/r/flask
https://redd.it/1hgg9uf
I want to display the response code sent from my Flask backend (e.g. 400 200 201 etc.) in Jinja - how can I access this?
/r/flask
https://redd.it/1hgg9uf
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
What features should all flask apps have?
I've been programming for about a year and a half now and built a small flask app to manage my music business. Basically a management application with some API integration and sqlalchemy. The app now works fine and is stable, but I'm wondering if there are any features/functions/etc. that all flask apps should have implemented, that don't seem obvious to a beginner like me. Cybersecurity and complex algorhithms still go a bit beyond my understanding, but I wanna make my app as secure, stable and reliable as possible.
/r/flask
https://redd.it/1hgfd8y
I've been programming for about a year and a half now and built a small flask app to manage my music business. Basically a management application with some API integration and sqlalchemy. The app now works fine and is stable, but I'm wondering if there are any features/functions/etc. that all flask apps should have implemented, that don't seem obvious to a beginner like me. Cybersecurity and complex algorhithms still go a bit beyond my understanding, but I wanna make my app as secure, stable and reliable as possible.
/r/flask
https://redd.it/1hgfd8y
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Spotify data visualizations
* **What My Project Does**
My project offers a visualization of spotify data through a web application.
* **Target Audience**
The project is aimed at anyone who uses Spotify and likes music
* **Comparison**
My project is different from a classic Spotify wrapped because it offers new features, is interactive and allows you to select the period of interest. Plus you can watch it more than once a year :)
Feel free to give me suggestions with pull requests and issues as I plan to expand the project further. [Github](https://github.com/marcobadiello/Esame-Sistemi-2.git)
/r/Python
https://redd.it/1hgn2bu
* **What My Project Does**
My project offers a visualization of spotify data through a web application.
* **Target Audience**
The project is aimed at anyone who uses Spotify and likes music
* **Comparison**
My project is different from a classic Spotify wrapped because it offers new features, is interactive and allows you to select the period of interest. Plus you can watch it more than once a year :)
Feel free to give me suggestions with pull requests and issues as I plan to expand the project further. [Github](https://github.com/marcobadiello/Esame-Sistemi-2.git)
/r/Python
https://redd.it/1hgn2bu
GitHub
GitHub - marcobadiello/Esame-Sistemi-2
Contribute to marcobadiello/Esame-Sistemi-2 development by creating an account on GitHub.
Wednesday Daily Thread: Beginner questions
# Weekly Thread: Beginner Questions 🐍
Welcome to our Beginner Questions thread! Whether you're new to Python or just looking to clarify some basics, this is the thread for you.
## How it Works:
1. Ask Anything: Feel free to ask any Python-related question. There are no bad questions here!
2. Community Support: Get answers and advice from the community.
3. Resource Sharing: Discover tutorials, articles, and beginner-friendly resources.
## Guidelines:
This thread is specifically for beginner questions. For more advanced queries, check out our [Advanced Questions Thread](#advanced-questions-thread-link).
## Recommended Resources:
If you don't receive a response, consider exploring r/LearnPython or join the Python Discord Server for quicker assistance.
## Example Questions:
1. What is the difference between a list and a tuple?
2. How do I read a CSV file in Python?
3. What are Python decorators and how do I use them?
4. How do I install a Python package using pip?
5. What is a virtual environment and why should I use one?
Let's help each other learn Python! 🌟
/r/Python
https://redd.it/1hgon88
# Weekly Thread: Beginner Questions 🐍
Welcome to our Beginner Questions thread! Whether you're new to Python or just looking to clarify some basics, this is the thread for you.
## How it Works:
1. Ask Anything: Feel free to ask any Python-related question. There are no bad questions here!
2. Community Support: Get answers and advice from the community.
3. Resource Sharing: Discover tutorials, articles, and beginner-friendly resources.
## Guidelines:
This thread is specifically for beginner questions. For more advanced queries, check out our [Advanced Questions Thread](#advanced-questions-thread-link).
## Recommended Resources:
If you don't receive a response, consider exploring r/LearnPython or join the Python Discord Server for quicker assistance.
## Example Questions:
1. What is the difference between a list and a tuple?
2. How do I read a CSV file in Python?
3. What are Python decorators and how do I use them?
4. How do I install a Python package using pip?
5. What is a virtual environment and why should I use one?
Let's help each other learn Python! 🌟
/r/Python
https://redd.it/1hgon88
Discord
Join the Python Discord Server!
We're a large community focused around the Python programming language. We believe that anyone can learn to code. | 412982 members
I built web app using Django!
Hello everyone 👋,
I just wanted to show off a web app I made using Django. Outside of tutorial projects, this is my first official project. It's called Salted Vanilla and it's a scented candle cataloging web app.
I used this tutorial by Kostja to start the project and I built from there. I'm using Appliku to deploy on AWS Lightsail. I used ChatGPT to help with model structure and relationships. I am using Django templates, a little Bootstrap, and most recently Bootstrap Studio for the front end.
Here is the git repo
Here is a video demo you can check out
If you have any critiques on structure or anything, please let me know!
/r/django
https://redd.it/1hgh025
Hello everyone 👋,
I just wanted to show off a web app I made using Django. Outside of tutorial projects, this is my first official project. It's called Salted Vanilla and it's a scented candle cataloging web app.
I used this tutorial by Kostja to start the project and I built from there. I'm using Appliku to deploy on AWS Lightsail. I used ChatGPT to help with model structure and relationships. I am using Django templates, a little Bootstrap, and most recently Bootstrap Studio for the front end.
Here is the git repo
Here is a video demo you can check out
If you have any critiques on structure or anything, please let me know!
/r/django
https://redd.it/1hgh025
Where to store passwords in production
Hello everyone. I have a flask app i want to deploy on pythonanywhere. In my app i have a function that sends an email and i need to store a password for the email that is a sender. My question is how do i store that password safely when deployed so that i cant be viewed. Also would appreciate if anyone can suggest any other sites for deployment of flask apps. Thanks
/r/flask
https://redd.it/1hgycgl
Hello everyone. I have a flask app i want to deploy on pythonanywhere. In my app i have a function that sends an email and i need to store a password for the email that is a sender. My question is how do i store that password safely when deployed so that i cant be viewed. Also would appreciate if anyone can suggest any other sites for deployment of flask apps. Thanks
/r/flask
https://redd.it/1hgycgl
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
D Best survey papers of 2024?
As an AI researcher who is starting out, I usually start by seeing survey papers related to a field, then creating a roadmap to further deep dive into my research topic. I am eager to see the sub's viewpoint of the best survey papers they came across in 2024.
/r/MachineLearning
https://redd.it/1hgwjqu
As an AI researcher who is starting out, I usually start by seeing survey papers related to a field, then creating a roadmap to further deep dive into my research topic. I am eager to see the sub's viewpoint of the best survey papers they came across in 2024.
/r/MachineLearning
https://redd.it/1hgwjqu
Reddit
From the MachineLearning community on Reddit
Explore this post and more from the MachineLearning community
Build your Jupyter dashboard using Solara
https://blog.jupyter.org/build-your-jupyter-dashboard-using-solara-569fa5b16e9c
/r/IPython
https://redd.it/1hh1tcg
https://blog.jupyter.org/build-your-jupyter-dashboard-using-solara-569fa5b16e9c
/r/IPython
https://redd.it/1hh1tcg
Medium
Build your Jupyter dashboard using Solara
Welcome to the first part of a series of articles showing you how to create a dashboard in Jupyter and deploy it as a standalone web app…
Benchmark library that uses PostgreSQL
I am writing an open-source library that simplifies CRUD operations for PostgreSQL. The most similar library would be SQLAlchemy Core.
I plan to benchmark my library against SQLAlchemy ORM, SQLAlchemy Core, and SQLModel. I am unsure about the setup. I have the following considerations:
\- Local DB vs Remote DB. Or both?
\- My library depends on psycopg. Should I only use psycopg for the others?
\- Which test cases should I cover?
\- My library integrates pydantic / msgspec for serialisation and validation. What' the best practice for SQLAlchemy here? Do I need other libraries?
What are your opinions. Do you maybe have some good guidelines or examples?
My library is not yet released but quite stable. You can find more details here:
Github: https://github.com/dakivara/pgcrud
Docs: https://pgcrud.com
/r/Python
https://redd.it/1hh4s52
I am writing an open-source library that simplifies CRUD operations for PostgreSQL. The most similar library would be SQLAlchemy Core.
I plan to benchmark my library against SQLAlchemy ORM, SQLAlchemy Core, and SQLModel. I am unsure about the setup. I have the following considerations:
\- Local DB vs Remote DB. Or both?
\- My library depends on psycopg. Should I only use psycopg for the others?
\- Which test cases should I cover?
\- My library integrates pydantic / msgspec for serialisation and validation. What' the best practice for SQLAlchemy here? Do I need other libraries?
What are your opinions. Do you maybe have some good guidelines or examples?
My library is not yet released but quite stable. You can find more details here:
Github: https://github.com/dakivara/pgcrud
Docs: https://pgcrud.com
/r/Python
https://redd.it/1hh4s52
docs.pydantic.dev
Welcome to Pydantic - Pydantic Validation
Data validation using Python type hints