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- ILX Course
Using Python's Math, Science, and Engineering Libraries
This course covers the following topics: Math, NumPy, SciPy, Matplotlib, Pandas, and SciKit-Image.
What you'll learn
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](https://pythoninstitute.org/certification/pcpp-certification-professional/pcpp-32-1-exam-syllabus/) 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
Table of contents
About the author
The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!
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