Python Script Portfolio

This is a professional Portfolio of data science scripts for engineering and remote sensing applications in order to deal with environmental data fora variety of purposes. Here one can find simple codes and complex applications write in Python (.py) and Jupyter Notebook (.ipynb).

• Data pre processing;
  • Data Frame composing and arranjement;
  • Data smoothing;
  • Data calibration;
• Graphical plots functions;
• Statistical functions and analysis;
• Remote sensing data/images applications;
• Others.

The featured Python applications are:

1. TriOS-RAMSES sensors calibration, a application that calibrates radiometric raw data measurements;

2. Statistical Functions, a application with some statistical parameters functions;

3. Basic Logical Exercises, simple logical problems solution using python language;

4. Advanced Exercises, advanced problems using image manipulation, graphical ploting and others;

5. Util Scripts, general pre processing, plot and other scripts;

Installation - Requirements

To copy all scripts of this Portfolio open a python prompt (e.g. Anaconda or Miniconda prompt). To do that, inside the prompt, go inside the folder in which you want to download this repository and run the following comands:

$	git clone https://github.com/curtarelli/portfolio
$	cd portfolio-python
$	conda env create --name "your-env-name"
$	conda activate "your-env-name"
$	pip install -r requirements.txt

Examples of Use

To see the scripts running and learn how to use them, the user can follow the [Examples] (./examples "Examples of Use") with the applications usage step-by-step in a Jupyter Notebook (.ipynb) tutorial.