https://github.com/tiagovla/antennas_ufmg

https://github.com/tiagovla/antennas_ufmg

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/tiagovla/antennas_ufmg
• Owner: tiagovla
• Created: 2019-10-04T04:34:21.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-29T01:10:01.000Z (about 4 years ago)
• Last Synced: 2024-06-08T23:31:15.969Z (4 months ago)
• Language: Python
• Size: 8.21 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Antennas Lab - UFMG - 2019/02

Why should you use python?

* [Advantages and disadvantages](https://medium.com/@mindfiresolutions.usa/advantages-and-disadvantages-of-python-programming-language-fd0b394f2121)

* [Most popular languages](https://stackify.com/popular-programming-languages-2018/)

* [Data science and machine learning](https://www.kdnuggets.com/2019/05/poll-top-data-science-machine-learning-platforms.html)

Where can you learn python?

* The main source is always the [python documentation](https://docs.python.org/3/tutorial/index.html)

* There are also courses like [sololearn](https://www.sololearn.com/), [udemy](https://www.udemy.com/topic/python/), [codecademy](https://www.codecademy.com), ...

* Youtube channels

* Once you know the basics, [stackoverflow](https://stackoverflow.com/) and [google](https://www.google.com/) are your best bets.

Usually, the [4NEC2](https://www.qsl.net/4nec2/) can be used to simulate antennas, but its GUI is limited. Then, using a wrapper interface to communicate with the NEC engine is the best solution. There are wrapper interfaces for several languages, amongst them:

* [PyNEC](https://github.com/tmolteno/python-necpp/tree/master/PyNEC) for python 

* [necpp](https://github.com/tmolteno/python-necpp) for c++

## What do you need to run the examples in this repository?

* 4NEC2: https://www.qsl.net/4nec2/

* Python 3.X: https://www.python.org/downloads/

* PyNEC: https://github.com/tmolteno/python-necpp/tree/master/PyNEC [`pip3 install pynec`]

* Numpy: https://numpy.org/ [`pip3 install numpy`]

* Matplotlib: https://matplotlib.org/ [`pip3 install matplotlib`]

## Optimizer using python:

http://clients.teksavvy.com/~nickm/scripts.html