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Python for Data Science

12 chapters · 1 free to read, 11 in the PDF · 1 files

Learn the fundamentals of Python programming essential for data science

This book provides an introduction to the Python programming language for data science, covering the core programming principles you need to get started.

You will learn the fundamentals of Python including data types and their properties, functions, methods, and how to use packages and modules from the Python ecosystem.

You will then work through key programming concepts — boolean logic, control structures, and loops — before diving into NumPy, the foundational library for numerical computing in Python.

Chapters

  1. 1Python DictionariesRead free
  2. 2Comparison Operators in PythonIn the PDF
  3. 3Logical Operators in PythonIn the PDF
  4. 4Conditional Statements in PythonIn the PDF
  5. 5For Loop in PythonIn the PDF
  6. 6While Loop in PythonIn the PDF
  7. 7How to loop over python dictionaries and Numpy arraysIn the PDF
  8. 8What is NumPy in PythonIn the PDF
  9. 9ndarray - Methods and Data TypeIn the PDF
  10. 10NumPy - Methods to Create ArraysIn the PDF
  11. 11Python NumPy - Numerical Operations on ArraysIn the PDF
  12. 12Python NumPy - Indexing and Slicing ArraysIn the PDF

Practice quizzes

Files

  • eBook - Python for Data Science

    PDF · Included in Python for Data Science

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