Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
799 B
Markdown
9 lines
799 B
Markdown
# Reading Data
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Pandas provides functions to load data from many formats: `pd.read_csv()`, `pd.read_excel()`, `pd.read_json()`, `pd.read_parquet()`, `pd.read_sql()`, and others. Each function returns a DataFrame and accepts parameters for handling headers, delimiters, encoding, and data types. Reading data is always the first step in a Pandas workflow.
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Visit the following resources to learn more:
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- [@official@How do I read and write tabular data?](https://pandas.pydata.org/docs/getting_started/intro_tutorials/02_read_write.html)
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- [@article@Pandas 101: How to Read Data from Multiple Sources](https://riyoma.medium.com/pandas-101-how-to-read-data-from-multiple-sources-ba75e5497ad5)
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- [@video@Reading in Files in Pandas | Python Pandas Tutorials](https://www.youtube.com/watch?v=dUpyC40cF6Q) |