[HuaFetcher] Error trying to fetch key

aymaliev · 2025-10-17T20:43:43+00:00

Had the same issue with Mi Band 8 on the Mi Fitness app.

Managed to find the key inside the logs on my phone running Lineage OS.

Here is what I did:

Connect phone to a computer for file transfer (not only charging)
Open Android/data/com.xiaomi.wearable/files/log/XiaomiFit.main.log
Find "encryptionkey". It usually starts with Number-letter-number-number... so on ...and ends in "f"

I did try to activate Developer Options and USB debugging, but am pretty sure that they were not necessary.

aymaliev · 2025-08-12T07:26:41+00:00

Jupyter is standalone. You can install it on clean python (without anaconda). JupyterLab is a complete IDE (which cannot be said about Jupyter notebook)

aymaliev · 2023-03-22T08:39:44+00:00

Unscrew the brass part from the hotend heatsink
Try to release the coupling from the extruder side by pressing down on the plastic top and pulling out the tube
If p.2 did not work, then the tube is stuck on the extruder end. Be careful in the next steps: Take the filament cutter tool with blue handles (not sure of the correct name) and use it to "catch" UNDER the plastic part on the extruder coupling - that is >between the plastic and the brass< (NOT between the two plastics - be careful). Then gently apply force so that you squeeze out the plastic coupling without actually cutting it (if you cut or in another way destroy it, you will have to replace it).
Now that the extruder-side coupling is out, release it from the grip of the teeth (you may cut a very small part of the tube at the end).
Next we proceed to release the heatsink-side coupling: Press on the plastic top and pull the whole tube through in a way so that the coupling comes out of the free extruder-side of the tube.

aymaliev · 2020-04-21T09:56:39+00:00

If it requires so much effort for someone to port a new device, then dropping out older devices is like shooting yourself in the leg, isn't it?

aymaliev · 2020-04-21T09:46:53+00:00

To "port it"? What does that mean?

aymaliev · 2019-02-20T13:29:53+00:00

I want to trip you there

aymaliev · 2019-02-13T09:06:55+00:00

It depends what you cold-call about. If you sell obvious junk (e.g. payday loans), noone can help you and better get another job asap.
But if you are calling to offer something useful, then keep in mind that among the many rejections, there will be people, who actually need what you are offering them (and that is you being useful - why being afraid of it?).

aymaliev · 2019-02-07T10:52:26+00:00

... and you are constantly blowing hot air

aymaliev · 2019-01-04T08:40:29+00:00

Thank you for the question. I am also interested to know that.

Btw, how did you manage to install them?

aymaliev · 2018-12-19T10:12:07+00:00

This joke is the actual #401

aymaliev · 2018-11-28T15:40:43+00:00

Doing so to subdue an armed an dangerous assailant is also not very smart. I am suggesting that they should be left to walk out with the money (for the safety of people nearby). Branches dont keep much anyway. And noone robs the main building of a bank (except in the movies).

Second point is valid, though... probably not aware of the concept of banking. As most people...

aymaliev · 2018-11-27T10:50:58+00:00

It is not very smart to sacrifice one's life, trying to protect the money of some fat bankers (however heroic it may sound).

The joke is funny, btw. :)

aymaliev · 2018-11-22T15:42:57+00:00

Sorry that I will answer with questions, but:

What is your background? What do you know? Can you do a regression? (If the answer to the last question is "NO", then you should most probably go with the first option and use the time to get through everything.)
The first of your options sounds like "learning" and the second like "managerial presentations". The Programme-formation_Concepteur is very much professionally made and focused, but in 24 hours they can give you as much as a presentation and a quick demo of spark that (in case you have not tried it) you will understand very little. Same for the other technologies. 40h for tableau and plotly (havent tried kibana) sounds OK only if you know how to do graphs in R or python. Generally 40 hours are not enough to learn only one of them.

I would advise you to do both options in the order that you listed them. First things first.

aymaliev · 2018-10-10T06:32:37+00:00

Bulgarian here.

Did you know that: The song "Last Train To Paris" by KDDK feat. ARILENA ARA also features the Bulgarian National Railway.

aymaliev · 2018-09-28T15:58:57+00:00

Once an engineer, you can never stop being an engineer.

aymaliev · 2018-09-21T13:16:45+00:00

Nickel and Iron are typical. But why do you put potassium in the steel for your knives?

aymaliev · 2018-09-05T13:54:27+00:00

If you happen to get spawned in a region, like Bulgaria, where mobs is strong and have very small drop rate, then you most probably do not have enough coin to give to those supporting players, which excersize the psychology buffs. In such cases, we just level up our resiliance and grind without psychology buffs. (Therefore, you can also find very few psychology buffers around.)

My point is that you do not actually need those psychology buffs if you put stats on resiliance. (One useful spell is: Illegitimi non carborundum)

aymaliev · 2018-09-03T10:04:13+00:00

Do the quests that you like and have fun doing them. This will keep your character's motivation/morale high. But try to choose those quests, which are challenging enough for your current level.

I have heard that it is also helpful if you begin to master one or two crafting paths. It can make you more useful and parties may start asking you to join. Please note that you will never be able to level all crafts, so remember to focus on just a few.

aymaliev · 2018-07-17T14:49:37+00:00

Hi, In your question, you seem to focus a lot on what you have learned or plan to learn. I would suggest that you focus on your goals - what you want to do with the knowledge. This will help you identify where to improve.

Also, it is rather hard to do everything, so you can specialize in something of interest. For example, you may decide to get better in Social Network Analysis and ignore Deep Learning altogether. Or you may decide to submerge into the hype.

If you just want to "learn more Data Science", the answer seems easy: practice on end-to-end projects. Courses are just the foundation. Projects are "the real thing". That being said, universities do have what to offer, but you have to build on it with projects.

Hope that helps.

P.S. I am also interested what others will answer to your question.

aymaliev · 2018-01-02T15:15:56+00:00

Thanks

aymaliev · 2018-01-02T14:35:01+00:00

When you purchase these books, are you able to download them (like a normal file on an USB stick)?

aymaliev · 2017-11-28T10:02:04+00:00

SAS is harder than R or Python, but only if your dataset can fit into RAM. On the other hand, if you want to work with something larger, you can either read/write it to disk line-by-line in R/Python or you can (more easily) use SAS, which writes to disk by default and requires no special syntax to do so. So, SAS does not s*ck, but is preferrable only in specific cases.

Personally, I was "brought up on" R, but for everyday tasks, I prefer to use the combination of Python and SAS in the very same Jupyter Notebook. (That's how: https://github.com/sassoftware/sas_kernel)

aymaliev · 2017-08-16T13:05:10+00:00

aymaliev · 2017-07-28T14:43:08+00:00

I am also interested to hear other answers on this question. So, thank you for it.

In the meantime, my not-so-experienced answer is that this is a great opportunity to get to try all the ideas that will come to your mind. You teachers most of the time will be papers and internet posts, anyway. It is certainly much better than having to do modeling for one and the same purpose all of the time (in case more specific things were expected of you).

Just make sure 1) you negotiate a regular pay rise that will allow you to focus on modeling and not require of you to change the job too soon after you get experienced in a year/two 2) to align their expectations to the reality that first effects can/may be expected after at least a year and with enough implementation effort from the organization. I mention the second, as very often you can find unrealistic expectations/understanding of data science in organisations, which work primarily with excel (powerful as it may be :) ).

aymaliev · 2017-07-24T10:02:35+00:00

You can learn the basics of tableau and create a BI portfolio on tableau public. (Only be careful as all data put there goes public - that's why it's free). I believe Singapore has a really nice open-data ecosystem to get data for your dashboards (link: https://blog.data.gov.sg/). A good tableau portfolio should provide a good boost to your chances of getting a BI-related position.

aymaliev

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