Using Python's Math, Science, and Engineering Libraries
Offered By: A Cloud Guru
Course Description
Overview
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
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Digital Signal Processing
École Polytechnique Fédérale de Lausanne via Coursera Creative, Serious and Playful Science of Android Apps
University of Illinois at Urbana-Champaign via Coursera