Smriti Mishra

Here is an amazing illustration of Data Pipeline by Semantix !

A data pipeline is a method for ingesting raw data from numerous data sources and then transferring it to a data store, such as a data lake or data warehouse, for analysis. Before data flows into a data repository, it is often processed.

The type of data processing required by a data pipeline is typically decided by a combination of exploratory data analysis and established business requirements.

Data can be kept and surfaced for usage after it has been correctly filtered, combined, and summarized. Data pipelines that are well-organized serve as the foundation for a variety of data initiatives, including exploratory data analysis, data visualizations, and machine learning activities.

#dataengineering #programming #technology #machinelearning #coding

Another very interesting Python package I came across!

Jupyter notebook Python computations!

handcalcs is a package that automatically renders Python calculation code in Latex, but in a way that looks like it was written with a pencil: write the symbolic formula, followed by numeric substitutions, and finally the result.

Because handcalcs displays the numerical replacement, the computations are much easier to examine and verify by hand.

Link to the GitHub repository: https://lnkd.in/e4QHgvsq

#artificialintelligence #machinelearning #technology #python #programming