u/Equivalent_Jaguar243

Wat da hell

I’m trying to understand the real learning process behind coding in Data Science, especially when working with datasets on platforms like Kaggle.

Right now, it feels like most of the time I’m just searching things like:

“How to extract specific columns in pandas”

“Which function to use for grouping data”

“How to clean missing values”

And while I understand that Googling is part of programming, I’m confused about where the actual learning happens in this process.

For example: If I’m working on a dataset and constantly looking up functions and methods, how do I eventually develop the ability to write code independently without relying on search engines every few minutes?

Is the learning supposed to come from:

Repeating Kaggle notebooks?

Studying libraries like pandas/numpy deeply first?

Doing structured courses before touching real datasets?

Or is it normal in the beginning to always rely on Google and slowly things “stick” over time?

I feel like I understand concepts in theory, but when I open a dataset, I struggle to translate that into actual code.

I’m trying to understand the real learning process behind coding in Data Science, especially when working with datasets on platforms like Kaggle.

Right now, it feels like most of the time I’m just searching things like:

“How to extract specific columns in pandas”

“Which function to use for grouping data”

“How to clean missing values”

And while I understand that Googling is part of programming, I’m confused about where the actual learning happens in this process.

For example: If I’m working on a dataset and constantly looking up functions and methods, how do I eventually develop the ability to write code independently without relying on search engines every few minutes?

Is the learning supposed to come from:

Repeating Kaggle notebooks?

Studying libraries like pandas/numpy deeply first?

Doing structured courses before touching real datasets?

Or is it normal in the beginning to always rely on Google and slowly things “stick” over time?

I feel like I understand concepts in theory, but when I open a dataset, I struggle to translate that into actual code.

Title

Title

Would you marry your cousin, given that she or he is really nice kind of something you expect in an every cool and nice person, Despite the social and moral constraints, Well basically what i mean by that is how the society and its people portray the cousin marriage into some weird low class conservative act to do. It also sits at the intersection of culture, biology, religion, and social perception. So given that the question would be why accept love across continents but hesitate love within bloodlines. Iam also against marriages in bloodline but thought maybe questioning on it would be intresting