Using Python's Math, Science, and Engineering Libraries

By Larry Fritts

This course covers the following topics: Math, NumPy, SciPy, Matplotlib, Pandas, and SciKit-Image.

5 hours
  • 23 Lessons
  • 5 Hands-On Labs

About the course

This course covers "Exam block #2: Math, Science, and Engineering Tools" for the certification exam: PCPP-32-1: Certified Professional in Python Programming 1 Certification

Topics, as called out in the exam syllabus, are:

  • Math: A basic tool for elementary evaluations
  • NumPy: A fundamental package for scientific computing
  • SciPy: An ecosystem for mathematics, science, and engineering
  • Matplotlib: A 2D plotting library producing publication-quality figures
  • Pandas: A library providing high-performance and data analysis tools
  • SciKit-image: A collection of algorithms for image processing
What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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How many seats do you need?

  • $499 USD per seat per year
  • Billed Annually
  • Renews in 12 months

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