Using Python's Math, Science, and Engineering Libraries
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17-10-2020, 08:27
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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.
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 Homepage https://acloud.guru/learn/5cc4ce26-2b96-40d3-bc5f-602fe9dd5fba Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me 
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