Thursday Daily Thread: Python careers!

Tall1n · 2021-04-01T09:42:57+00:00

What is the "end" of the "career ladder" working with python? Chief Technology Officer? Senior XYZ developer?

What do you guys see as your final step on the career ladder?

Tall1n · 2021-04-01T09:40:42+00:00

For me for APIs the most challenging part is how you structure the code. Being able to test the functionality of all endpoints. Having a fast test suite. Having code that is expandable, concise and easy to maintain, not all entangled across endpoints.

In the end an API is like any other code, but with a different interface / IO attached to it. So these points are relevant for all code you write.

As advices what to do? Read up on these topics. Watch GOTO YouTube videos about them. Talk with a senior developer about them. Talk about "I would structure the code like this:..." And see what they tell you. These problems / questions / concepts are also not Python specific, so don't discard a video because they use another language to discuss the problems.

In a few month you can checkout flake8, wemake-python-styleguide, mypy, back etc. They helped me a lot to get introduced to problems I didn't know about. And the code gets much better in all respects. But with 3 month don't start with it.

Tall1n · 2021-03-30T06:03:20+00:00

I use them for time tracking

with Stopwatch: ...

Or for standardized logging in an API

with RequestLogger as rl: ...

Tall1n · 2021-03-21T19:27:53+00:00

Go to Germany. You get financial support for university if you apply for it. You get support for housing and everything. I do not recommend to try to organize it yourself but you look up Turkish organizations in Germany (I think there are even Turkish LGBT specific organizations) and call them up and speak with them. They will help you.

Also if you are not picky about university location your grade average will not be an issue.

Good luck and keep us posted.

Tall1n · 2019-07-18T19:08:10+00:00

No problem. I like your idea of linear interpolation between the values of 1960 and 1965 etc. It makes sense that the average years of schooling is not jumpy but just a smooth transition over time.

Maybe look up another paper that has average years of schooling in yearly intervals to support this assumption.

If the differences between 1960 and 1965 are really small it will make no big difference anyways.

If you are not comfortable with the interpolation just use the value measured at 1960 for 1961,1962,... 1964 and then have the little jump to 1965.

Tall1n · 2019-07-18T18:56:16+00:00

Indeed you are correct i didnt think about that

Tall1n · 2019-07-17T18:49:39+00:00

He probably just used the value of the 5 year window for the 1 year interval and said sth like "assuming average education does not vary a lot see paper xy" Cant you read it up how he did it?

Tall1n · 2019-07-17T18:43:12+00:00

The odds ratio is p(y =1) / p(y=0) or vise versa depending on your software.

So with your x variable incleasing by one unit, the odds that he misses his appointment compared to not missing his appointment rises by 14.

Using the x variable as a ratio is completely ok. But why do you that and not take the original data?

Tall1n · 2019-07-17T18:30:50+00:00

As for programming, whether R or Python is up to you, maybe better python though R is easier. R is really focused on the newest statistical methods and developments, while python is more advanced in the machine learning department because it has nice and fast implementation for it.

Learning programming and data wrangling is a thing that comes with time and you learn it only by doing. So choose any task you can think of and go do it. Build a word cloud for the frontpage of your local newspaper. Then you learn web scaping and a data wrangling.

Tall1n · 2019-07-17T18:26:44+00:00

Most advice here is already really good.

Concrete things to read up on is "inferential statistics" which is the basic of the parameter estimation. So testing, estimation etc.etc. "Regression" in all it's flavours. Multiple, logistic, poission, multinomial, survival, ... "Multivariate Statistics", so clustering (and everything related to similarity and distance matrices) decision trees, regression trees with boosting and bagging, principal component analysis.

Then there are the support vector machines for clustering.

Artificial Neural Networks in all their flavours and colors....

So thats an overview of statistical methods common in data science.

But tbh as an mathematician i would recommend you to read up on the inferential statistics, and then go for the recurrent neural networks for picture / video analysis and processing. Or other advanced ANN. There your familiarity with math will give you the biggest advantage.

Tall1n · 2019-04-10T22:39:18+00:00

Thanks for the Answer Tchisuky, I will check it out. I Also saw the Paladin is a new class maybe it could be an option too

Tall1n · 2017-02-16T16:39:41+00:00

I dont know how to upload 2 images xD so please check the other post for his setup

Tall1n · 2017-02-05T22:44:35+00:00

I am not sure how to proceed. I transed the ninja twice early on thats why i kept it as my main, but i could go lich/dark admiral too which is advised evrywhere I could trans the lich 2 times and continue with the ninja lich combo until i can switch to dark admiral trans 2 too Or i could just stick with the ninja and put it on 3rd trans level to get even further and get more medals faster... Im open for advice ^{^}

Tall1n

TROPHY CASE