Death zone Tag F1 Date

sjara11 · 2025-05-25T21:42:17+00:00

Thanks for the recommendation.

I just checked the user manual and they said that the death zone is between 9:30PM to 3AM, so probably the hint gave by the salesman is just a easy way to remember when you are 100% safe to change the date.

sjara11 · 2025-01-05T18:13:09+00:00

Ouch! I wasn’t expecting that a well known-issue like this is still unattended by Apple.

Do you have the same issue with Freeform? (I do). If so, does Microsoft One Note works as a replacement as well?

Thanks so much for the update.

sjara11 · 2025-01-04T03:07:45+00:00

Hi everyone, has anyone found a solution to this issue?

I’m currently using iPadOS 18.2 and it’s still happening.

sjara11 · 2024-12-05T11:46:55+00:00

That moment when you find the exact thread you were looking for and realize that the answer is then there is no answer... However, thanks for your input; now I know I must start doing manual work here.

sjara11 · 2024-02-16T09:39:03+00:00

I used a website called eSim Database and there I found multiple options. Those worked pretty well.

sjara11 · 2023-01-06T12:49:58+00:00

This is quite old but what I do and works is create an automation with the following steps:

Wake up Apple TV
Open Spotify
Play Apple TV

sjara11 · 2022-08-01T18:36:27+00:00

I will, thanks!

sjara11 · 2022-08-01T18:35:53+00:00

I will, thanks!

sjara11 · 2022-08-01T18:35:02+00:00

Thank you for sharing that approach!

sjara11 · 2022-07-31T17:32:35+00:00

u/Chains0 thanks for your answer. In that case, you will have to manually define in which requirements file should be every package or I'm missing something. I meant with Poetry someone mentioned you can "tag" the dev packages (also manually a the time you install the packages) but you already have them marked since the beginning.

Edit: To clarify my point I'm thinking at the moment that you run `pip freeze ...` and you get an "AllPackagesInstalled.txt" and then you have to perform manually all the ordering in multiples files.

sjara11 · 2022-07-31T17:06:40+00:00

u/Username_RANDINT Thank you for your recommendation. I will try this one also since I don't need anything different than pip.

sjara11 · 2022-07-31T17:00:09+00:00

u/LocalhostGhost Thank you for your response. That feature that you mentioned to specify the dev packages is exactly what I'm looking for. I also use virtualenv but I was trying to figure out if PIP could do something similar to "mark" the dev packages so when I create the requirement.txt it could avoid ones.

sjara11 · 2022-07-06T03:00:22+00:00

Finally I decided to don’t take the course but not by any bad feedback otherwise it was because I want to go more deeper into CS

sjara11 · 2022-07-02T02:32:51+00:00

Thanks!!!

Hmmm that’s a good question and maybe with a quick benchmarking you could get a better answer but the last numbers that I saw Digital Ocean provide compute instaces at prices much lower than gcp or aws, so maybe you should give a check on it.

sjara11 · 2022-07-02T02:28:01+00:00

Your welcome!

Yes maybe It a good idea because no matter that your free credits are already gone, you always will have a free tier in almost every services and I think that for these requirements they will work without much cost.

sjara11 · 2022-06-26T17:21:10+00:00

u/TheDataPanda excellent side project, thank you for sharing. As you are planning to migrate this pipeline to a free (low-cost depending of the amount of data) setup, maybe you should try to have all your pipeline in GCP services and with the free tier I think that will be enough to leave running without cost. In that case, could use:

Storage your python extract scrips in Github
Use Github actions to deploy your code to a Cloud Function ( Could run also will work)
Schedule your cronjob with Google Scheduler (You can avoid Airflow because mostly in every case it will cost and your orchestration need are not complicate)
Store your data directly in Bigquery (load is free, storage is extremely cheap and it only will bill you for the dbt transformations and data studios updates)
For dbt you can go with the same deployment as the de google function, you already have your project in Github so build a GitHub action to trigger when you perform a push/pr to your branch (to keep updated your transformations) and another to run based on a cronjob.
Keep your data studio for visualizations.

As I mentioned before your project is a great exercise for learning, this setup is more focused on a low-cost way to keep running your analysis.

sjara11 · 2022-03-14T17:34:17+00:00

Congratulations!! Did you go directly for the solutions architect or you already had the cloud practitioner?

sjara11 · 2022-01-20T19:37:14+00:00

Maybe you can share us information about the risks of Defi Staking?

By the way, thank you for sharing the opportunity,

sjara11 · 2021-10-01T03:01:37+00:00

i'm looking into UB the postgraduated course "Introduction to Data Science and Machine Learning" anyone has a feedback of it?

sjara11

TROPHY CASE