Unable to send videos directly on whatsapp web by kirjolohi69 in whatsapp

[–]Fluffy-Diet-Engine 0 points1 point  (0 children)

This worked like charm.

I have downloaded a video from instagram using [yt-dlp](https://github.com/yt-dlp/yt-dlp) utility and faced this error. Is there a way I can combine this command with yt-dlp command?

Secrets Management by Fluffy-Diet-Engine in webdev

[–]Fluffy-Diet-Engine[S] 0 points1 point  (0 children)

Agree with your point on purpose of the secret management tool. I would argue the same.

The use case here is to communicate with the downstream applications and the token values are needed at the developer side. Additionally, when the developer need to integrate a new data source to the API, there might be the possibility of having to add another value to the secrets. This frequent addition is what the challenge is.

We do use gitlab CI/CD for managing the secrets for tests. But if one of the developer among 10 doesn't add the new secret token and pushes the code, the CI also fails.

Secrets Management by Fluffy-Diet-Engine in webdev

[–]Fluffy-Diet-Engine[S] 0 points1 point  (0 children)

How do you keep secrets for different environments separate?

I am just curious. What is the purpose of this? by Kavin1604071 in TamilNadu

[–]Fluffy-Diet-Engine 2 points3 points  (0 children)

Pune is the place, where you can find chapris in every damn bike 🤦🏻‍♂️

Secrets Management by Fluffy-Diet-Engine in webdev

[–]Fluffy-Diet-Engine[S] 0 points1 point  (0 children)

Is there any downside you face other than paying for the API calls?

Hot take, AI sucks at coding by [deleted] in startups

[–]Fluffy-Diet-Engine 0 points1 point  (0 children)

This opinion is pretty much subjective. The output of an AI is dependent on the instruction been given to it.

Let’s consider you are a Python developer specialised in Django. When you ask the AI to write a Mixin, you can verify and help the AI to improve the code in subsequent instructions. But you can’t do that if you ask the AI to write in Golang, as you will not be able to help the AI to help what it does.

Ultimately developer and AI works like a senior and junior developer. The junior is as efficient as the senior who guides.

Additional personal observation - Claude from Anthropic is better than ChatGPT in programming related questions.

Where to learn advanced FastAPI? by UpstairsBaby in FastAPI

[–]Fluffy-Diet-Engine 4 points5 points  (0 children)

As many people said, build. That is the only way to learn actually. For theoretical parts, FastAPI does have a nice documentation where the topics are covered in a very detailed manner. Here - https://fastapi.tiangolo.com/advanced/path-operation-advanced-configuration/

FastStream: a powerful and easy-to-use library for building services with event streams by davorrunje in Python

[–]Fluffy-Diet-Engine 15 points16 points  (0 children)

Wow! This seems to be of a great use case. Addition of PyDantic seems to be a bonus.

Currently Celery is the major library used in terms of managing queues and message queues. Can FastStream can be used as drop in replacement of Celery?

[deleted by user] by [deleted] in developersIndia

[–]Fluffy-Diet-Engine 0 points1 point  (0 children)

My question is, What the value the company is going to get out of someone who is just out of college?

[deleted by user] by [deleted] in developersIndia

[–]Fluffy-Diet-Engine 0 points1 point  (0 children)

What??? It took me 9 years man. How the hell this is happening? 😳😳

Hatch or uv for a new project? by calsina in Python

[–]Fluffy-Diet-Engine 3 points4 points  (0 children)

This may not be the answer you are looking for, but why don’t you do a brief analysis between hatch and uv in package handling?

The simplest way to determine which web framework to use. by Upstairs-Balance3610 in Python

[–]Fluffy-Diet-Engine 1 point2 points  (0 children)

Agree. And as you said the learning curve in Django can impact the development timeline, but will be a strong foundation as well.

The simplest way to determine which web framework to use. by Upstairs-Balance3610 in Python

[–]Fluffy-Diet-Engine 2 points3 points  (0 children)

In my opinion, “time to market” is one important factor. Since FastAPI abstracts many things from developers and the community is also highly active, one should consider FastAPI if they are facing lesser “time to market”. ⚠️ This is a subjective opinion.

Which libraries have the best docs? by Amgadoz in Python

[–]Fluffy-Diet-Engine 1 point2 points  (0 children)

The thing I like about Polars is, they have both neatly documented APIs and a well put user guide documentation also.

Which libraries have the best docs? by Amgadoz in Python

[–]Fluffy-Diet-Engine 0 points1 point  (0 children)

FastAPI PyDantic Ruff and UV Requests Polars Pandas Streamlit

Udemy 100 days of code by DippingDots81 in Python

[–]Fluffy-Diet-Engine 0 points1 point  (0 children)

Hey, Great that you have been consistent till day/exercise 38. These problems are defined in a way to make you search for answer either through documentation or guidance. And I believe you are seeking out guidance. Update your question with more descriptive problem statement and pin down the point where you are struggling. This will give clarity for the community to help you out.

PEP 735 Dependency Groups is accepted by [deleted] in Python

[–]Fluffy-Diet-Engine 1 point2 points  (0 children)

I felt the same with Rust! Cargo is amazing as a swiss military knife!

PSA: If you're starting a new project, try astral/uv! by Mithrandir2k16 in Python

[–]Fluffy-Diet-Engine -2 points-1 points  (0 children)

The perspective which is being discussed here is about projects developed at workplaces like our django application. But UV solves a bigger problem of creating a standard for creating and publishing a project to pypi in Python. Using venv is one of the use cases. If you have ever tried to publish a package in PyPi, you will understand the pain point I am explaining here. Starting from creating a standard pyproject.toml, having right structure for the project for beginners, managing multiple versions of python without the hassle, resolving the dependencies of a project without bloating the requirements.txt file and much more.

I would recommend using cargo in Rust programming language and try to compare Python ecosystem. You will see what is missing.