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Using Python's Math, Science, and Engineering Libraries

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Overview

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

Syllabus

  • Getting Started
  • Environment Setup
  • Simple Math Using the `math` Module
  • Using SciPy
  • Using NumPy
  • Using Pandas
  • Using Matplotlib
  • Using SciKit-image
  • Final Steps

Taught by

Larry Fritts

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