A Proof of Concept (P.O.C.) to show how to import data from a CVS file to a database and show it to others. This is an early version and a Work In Progress (W.I.P).

Handling large CSV (Comma-Separated Values) files in Python can be daunting, especially when you're constrained by memory limitations. Data engineering often requires processing massive datasets ...

Handling CSV files is a common task in data engineering, and ensuring their quality is crucial for downstream processing. CSV (Comma-Separated Values) files are simple text files used to store ...

This lab covers various methods for reading structured data into Python using csv and openpyxl. It also covers other types of delimiters and escape characters. The lab also overs writing data from ...

seeing as Python is such a popular option for machine learning and data science. Read on then, and we’ll explore how to read CSV files in Python! To get started, we’re first going to create ...

And let's not even mention field quoting. If you deal with CSV files and you use Python the csv module can make your life a bit easier. Dealing with CSV files in Python probably couldn't be much ...

In addition, you can convert all the sheets in one pass by specifing a %d or a %s format specifier in the output file name: $ python ssconverter.py file1.xls file1-%d.csv $ python ssconverter.py file1 ...

Just as an anecdote, programming languages like Python and R also provide ways to analyze and manipulate the data in CSV files; in the case of Python, it's called Pandas. You won't need this ...