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Using Python's Math, Science, And Engineering Libraries
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We will cover the following topics: Math, NumPy, SciPy, Matplotlib, Pandas, and SciKit-Image.
This course covers ""Exam block #2: Math, Science, and Engineering Tools"" of 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
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[ FreeCourseWeb.com ] Using Python's Math, Science, and Engineering Libraries.zip
