Using Python's Math, Science, and Engineering Libraries
Using Python's Math, Science, and Engineering Libraries
MP4 | Video: h264, 1800x1012 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lessons (5.5h) | Size: 569.3 MB
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
https://acloud.guru/learn/5cc4ce26-2b96-40d3-bc5f-602fe9dd5fba
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