Importing Data in Python Cheatsheet

A one-page data import reference, every snippet explained line by line: context managers, NumPy flat files, read_csv rescue arguments, Excel, pickle, JSON, SQL with SQLAlchemy, web files, APIs, and BeautifulSoup.

Whatever the source, text, Excel, JSON, SQL, or the live web, the goal is the same: get the data into a DataFrame or a plain Python structure as early as possible. This cheatsheet gathers every import route on one page, from context managers to read_csv rescue arguments, SQLAlchemy, APIs, and BeautifulSoup, each snippet annotated line by line. Keep it open while you work, or save the image and pin it nearby.

For the full background, read the guide to importing data in Python. To practise, work through the 10 code-along examples.

See you soon, Andrei.

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