Data Science Simplified
I believe visuals surpass words, and simplicity trumps complexity when explaining complex concepts. Thus, in all of my posts, blogs, and videos, I invest significant effort into ensuring they are both visually engaging and easy to understand.
Every piece of content I create is designed for individuals with limited or no prior knowledge in the subject matter.
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Delta Lake provides a convenient way to enforce data quality by adding constraints to a table, ensuring that only valid and consistent data can be added.
In the provided code, attempting to add new data with a negative salary violates the constraint of a positive salary, and thus, the data is not added to the table.
When dealing with Parquet files in pandas, it is common to first load the data into a pandas DataFrame and then apply filters.
To improve query execution speed, push down the filers to the PyArrow engine to leverage PyArrow’s processing optimizations.
In the code above, filtering a dataset of 100 million rows using PyArrow is approximately 113 times faster than filtering using pandas.
Lazy Predict enables rapid prototyping and comparison of multiple basic models without extensive manual coding or parameter tuning.
This helps data scientists identify promising approaches and iterate on them more quickly.
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