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  • Author: buby2009
  • Date: 16-10-2020, 00:44
16-10-2020, 00:44

Using Python's Math, Science, and Engineering Libraries

Category: Tutorials / Programming

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, MatDescriptionlib, 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
MatDescriptionlib - a 2D Descriptionting library producing publication quality figures
Pandas - a library providing high-performance and data analysis tools
SciKit-image - a collection of algorithms for image processing


Using Python's Math, Science, and Engineering Libraries

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