https://github.com/astrojuanlu/seminar-python-engineering

Seminar: "Do engineers dream of electric snakes? Use of Python in the Aerospace industry"
https://github.com/astrojuanlu/seminar-python-engineering

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Seminar: "Do engineers dream of electric snakes? Use of Python in the Aerospace industry"

• Host: GitHub
• URL: https://github.com/astrojuanlu/seminar-python-engineering
• Owner: astrojuanlu
• License: other
• Created: 2020-09-14T07:04:14.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-08T11:11:54.000Z (about 3 years ago)
• Last Synced: 2024-06-13T01:47:23.422Z (7 months ago)
• Language: Jupyter Notebook
• Size: 8.57 MB
• Stars: 8
• Watchers: 4
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# "Do engineers dream of electric snakes? Use of Python in the Aerospace industry"

Author: Juan Luis Cano Rodríguez

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/astrojuanlu/seminar-python-engineering/main)

[Slides](https://nbviewer.jupyter.org/format/slides/github/astrojuanlu/seminar-python-engineering/blob/main/Session%201%20-%20Use%20of%20Python.ipynb)

## Abstract

Nowadays, a big part of engineers everyday work is supported by highly sophisticated

computational tools, essential to achieve the highest level of productivity.

However, experience shows that many times it is necessary to perform manual work,

be it for transforming the output of one tool into the input of another tool,

to repeat a specific analysis with slight variations, to execute a task for which

the tools at our disposal were not designed, or simply to deliver results to

internal or external clients according to some formatting requirements.

In these seminars we will study how computer programming in general, and the

Python programming language in particular, are used today in the Aerospace industry

to solve these problems, we will describe the lifecycle of software projects

following modern reproducibility and quality standards, and we will justify that

engineering students should delve into the possibilities of computing

as another element in their toolbox.

## Sessions

1. Use of Python in science and engineering, introduction to the ecosystem

2. Lifecycle of a software project: development, tests, packaging, deployment, monitoring