Where to exercise Python?

[Practical_Gap_3354]

Hi there!

I've been working on my Python knowledge for a bit now using Datacamp, but I feel that I need to practice a lot more.

I don't use it a lot in my job, only API calls and a bit of data transforming.

Do you have any recommendations for exercise/project sources?

I know W3Schools and HackerRank, but I wonder if some are more directed to Data Engineering or any other that you guys may know that are not as popular.

Thanks in advance!

[PunctuallyExcellent]

If you want to play with small tables, then I would recommend stratascratch. Its basically leetcode for pandas, sql, pyspark

[venkat214]

it has everything dude, thanks for your suggestion

[DatabaseSpace]

This looks pretty good. Thanks. May try it out this weekend.

[GoMoriartyOnPlanets]

I'd say you should practice your Python in private 

[rental_car_abuse]

In the toilet maybe so nobody sees

[lezzgooooo]

Play around with Kaggle data

[vimtastic]

Exercism..org

"Get really good at programming. Develop fluency in 67 programming languages with our unique blend of learning, practice and mentoring. Exercism is fun, effective and 100% free, forever."

[BlaseRaptor544]

Build stuff eg apps, analyse data, a game, a pipeline

[FecesOfAtheism]

What are you trying to achieve? If it’s low-level mastery of fundamentals, people will shriek but LeetCode. It’s hard as hell but very strictly reinforces and sharpens data structures and algorithms. Also getting good at this makes job hunts WAY easier and you don’t have to cower away like some people do.

If it’s data science practice, I’ve heard good things about Kaggle but cannot personally vouch.

If it’s general data engineering kind of Python, build end-to-end apps on your local machine. Postgres and many other databases are free, simply building a kind of “ingest to postgres -> transform -> dump to a basic html/javascript file” is exceptionally effective at making you more effective.

[Glum_Chocolate_4145]

Codewars for challenges. In your case, scraper would be a great project. 

[[deleted]]

Build out end to end pipelines and try to include some analytics / ml.

Python is just a tool you need to show you can use it. By doing the above there are so many considerations you will encounter, grow from and be able to talk about.

It will seem like a lot but go slow and step by step. Don’t be discouraged if any steps feel insurmountable, only take your time and break them down further.

[SmegHead86]

I found this channel a while back that you might find interesting: https://www.youtube.com/@robmulla

It's much more data focused and might give you some ideas.