Python for Engineers and Scientists

0

LinkedIn Learning Review

Location

Online(Course Link)

Dates

On Demand

Course Categories

IT, Technology and Software

Certficate

No

Language

English

Course Fees

US Dollar 6.99 (Check Course Page for Last Price)

No. of Attendant

Unlimited

Acquired Skills/Covered Subjects

  • Python (Programming Language)
Provider Name LinkedIn Learning
Training Areas
  • Business and Management
  • Digital Marketing
  • Fashion and Beauty
  • Humanities and ARTS
  • IT, Technology and Software
  • Languages
  • Math, Science and Engineering
  • Media and Photography
  • Medical, Fitness, Healthcare and Safety
  • Personal Development
  • Politics and Economy
  • Social Sciences
  • Supply Chain Management
  • Training and Education
  • Travel, Tourism and Hospitality
  • Others
Website https://www.linkedin.com/learning/
About The Provider

LinkedIn Learning is an American website offering video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn.

It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015.Microsoft acquired LinkedIn in December 2016.

This course offers scientists and engineers (ranging from students of those disciplines to experienced professionals) a dedicated, empowering introduction to Python for scientific and engineering applications. Theoretical astrophysicist and Python enthusiast Michele Vallisneri explains how Python can help you become a better engineer or physicist by making your work more efficient, accurate, and agile. Michele walks you through installing Python for macOS, Windows, and Linux, as well as setting up Jupyter notebooks. He explains how you can make Python fast using NumPy arrays, the SciPy library, Numba, and Cython. Michele then tackles ways to ensure your code is correct with tools for symbolic computation, differential equations, interpolation, and more. He finishes up with ideas to make your computational life easier with Python, including JSON, pandas, HDF5, automation with Python scripts, and scientific workflows with Snakemake.

Share with...




Similar Courses