PYTHON FOR DATA WORK · MODULE 01 · PYTHON FOUNDATIONS FOR DATA
1.22.1

LESSON 1.3

Reading files and CSVs

06:35·28,200 learners
Tomas BergTomas Berg
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In this lesson you will

  • Read and write files safely with context managers
  • Parse CSV data and handle encoding issues
  • Deal with missing and malformed rows on load

Real data arrives as a slightly wrong file. Encodings, delimiters, and missing values are the first three problems you will meet.

What this lesson covers

  • Read and write files safely with context managers
  • Parse CSV data and handle encoding issues
  • Deal with missing and malformed rows on load

This lesson sits in Python Foundations for Data, part of Python for Data Work. It assumes what came before it and leads directly into the next lesson in the module.

PRO TIP

Open a file with a context manager. It closes even when the code inside raises.

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2.1 · Series, dataframes, and indexing

30:37

Python for Data Work

17%
1.1 Lists, dicts, and the types you will use08:061.2 Comprehensions and iteration10:201.3 Reading files and CSVs06:35

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