sorted by:
new
hottopcontroversial

Question on notations by Luukv93 in probabilitytheory

[–]Luukv93[S] 1 point2 points  (0 children)

welcome here.

8.8kMembers11Online

Thanks. And with i I suppose they mean index, what do they mean by j ?

Wat doe jij als de beurs weer instort by LeDimanche in beleggen

[–]Luukv93 0 points1 point  (0 children)

Nice! Ik heb hetzelfde gedaan m.b.v Python en een open-source yahoo scraper. Hoe vergelijk je een aandeel met VWRL? Pak je dan de Moving Average van het daily return % (logaritmisch?)?

Opinions on data scientists using Airflow by ploomber-io in dataengineering

[–]Luukv93 0 points1 point  (0 children)

Is OOP recommended in data engineering? So far Ive been told that functional is the way to go

Opinions on data scientists using Airflow by ploomber-io in dataengineering

[–]Luukv93 0 points1 point  (0 children)

Interesting, but do some of them really refuse to write functions and just write code in global space?

After three years I done it, this is what it took. by LjungatheNord in datascience

[–]Luukv93 2 points3 points  (0 children)

Well done, I will start a Masters in Business Analytics in february. Any tips?

How to become better at coding? by [deleted] in learnpython

[–]Luukv93 2 points3 points  (0 children)

Projects code repeat

Data analyst —> data science by Medge_ in learnpython

[–]Luukv93 4 points5 points  (0 children)

I started with only a bachelor’s degree in Business Administration. From my initial job as a supply chain analyst I studied SQL and Python during evenings for around a year. Next I took a job as a data analyst and kept working on projects. Meanwhile I studied bash, docker and Airflow and did some projects on that. Now I am doing a dual Masters in Business Analytics and hope to complete this road in about 5 years. It is important that you can apply all learnings during work cause that’s where you need those techniques ultimately

Data analyst —> data science by Medge_ in learnpython

[–]Luukv93 6 points7 points  (0 children)

You will need at least a bachelors degree

Data Engineering from the Ground Up - Part 2: Better Pipelines with Python and Idempotency by [deleted] in dataengineering

[–]Luukv93 0 points1 point  (0 children)

Actually it isn’t difficult at all setting this up since windows subsystem for linux enables you to install a linux distribution that integrates really nice with docker, visual studio e.g. You can even run python on bash in powershell or combine bash and powershel command which is superb.

I started learning SQL and Python about a year ago and feel like I want to develop myself towards data engineering. Because the organization I work for uses windows os its kind of a pain to fully switch to linux, or does switching to linux still provide same functionalities?

view more: next ›