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Mastering the Basics of Python for Data Science

  • Keywords are reserved words in Python that have specific meanings and cannot be used for variable names. Examples include if, else, for, while, import, and return.
  • Python’s dynamic typing makes it easy to assign values without explicitly declaring their type. It supports various data types such as int, float, str, bool, complex, and more.
  • Python uses indentation to define blocks of code, ensuring readability and consistency. Forgetting to indent properly results in syntax errors.
  • Strings are powerful in Python. You can perform slicing, concatenation, and use methods like upper(), lower(), replace(), and split().

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