NumPy - Python Scientific Computing

Course Summary

If you want to get into data science, machine learning or AI, learning NumPy will enable you to build projects using the skills sought after for these roles.

NumPy is the most widely-used Python library for scientific computing. Because of its versatility, NumPy serves as the foundation for many other scientific, data analysis, and machine learning tools such as Pandas, SciPy, Matplotlib, TensorFlow and PyTorch. Build a strong foundation in NumPy, and you'll be well on your way to performing advanced data analysis.

5 Sections · 31 Pages · By Gilad Gressel

  • Level

    Intermediate: This course assumes you are already comfortable with Python

  • Duration

    20 Hours.

  • What's included

    17 Lessons, 12 Videos, and 11 Practical Assignments

  • Certificate

    NumPy Certificate of Completion

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This course is part of the following career track:

  1. Introduction to NumPy

    1. NumPy Course Overview
      8 min
    2. Video: Numerical Python with NumPy
      8 min
    3. NumPy Arrays
    4. Arrays in NumPy
      18 min
    5. Video: NumPy Arrays
      8 min
    6. NumPy Data Types
    7. Numpy Data Types
      4 min
    8. Video: NumPy Data Types
      5 min
    9. Assignment
    10. Lab: NumPy Arrays & Data Types
      3 min

  2. Array Operations & Attributes

    1. NumPy Array Attributes
    2. NumPy Array Attributes
      17 min
    3. Video: NumPy Attributes
      12 min
    4. NumPy Array Operations
    5. NumPy Array Operations
      23 min
    6. Video: NumPy Array Operations
      15 min
    7. NumPy Indexing & Slicing
    8. NumPy Indexing & NumPy Slicing
      23 min
    9. Video: Indexing and Slicing NumPy Arrays
      17 min
    10. NumPy View vs. Copy
    11. NumPy View vs. NumPy Copy
      8 min
    12. Video: NumPy Views vs Copies
      11 min
    13. Assignment
    14. Lab: NumPy Arrays Operations & Attributes
      3 min

  3. Advanced Array Manipulation

    1. Array Manipulation
    2. Manipulating NumPy Arrays Part 1
      21 min
    3. Manipulating NumPy Arrays Part 2
      7 min
    4. Video: Manipulating NumPy Arrays
      13 min
    5. Sorting
    6. How to Sort a NumPy Array
      3 min
    7. Video: Sorting NumPy Arrays
      4 min
    8. Broadcasting
    9. NumPy Broadcasting
      9 min
    10. Video: NumPy Broadcasting
      9 min
    11. Random Data
    12. NumPy Random Module
      15 min
    13. Video: NumPy Random Module
      14 min
    14. Assignment
    15. Lab: NumPy Array Manipulation
      3 min

  4. NumPy 2.0 (Coming soon)

    1. NumPy 2.0.0 Release Notes & Migration Guide
    2. Check back soon for the NumPy 2.0 updates
      3 min

  5. Conclusion & Completion Certificate

    1. NumPy Conclusion
      3 min
    2. Video: NumPy Course Conclusion
      3 min
    3. Request Completion Certificate