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The CSV (Comma-Separated Values) file format is a widely used text file format for storing tabular data. In a CSV file, individual values are separated by commas, making it easy to parse and exchange data. Each line in the file typically represents a new row in the table, with the values delimited by commas acting as the cells within that row. This simple structure is one of the reasons why CSV is favored in data science and other applications ²³.

CSV files can also include a header row, which contains the names of the columns. While the header is optional, it is highly recommended for clarity. Additionally, if a value contains a comma, it should be enclosed in double quotes to ensure proper parsing. Some applications may use different delimiters, such as tabs or pipes, but the comma is the most common ³⁴.

Overall, CSV files are essential for data importation and exportation in data science, allowing for easy manipulation and analysis of data ¹.

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Python has a vast library of modules that are included with its distribution. The csv module gives the Python programmer the ability to parse CSV (Comma Separated Values) files. A CSV file is a human ...