joanvelro / ia_resources

IA Rsources

IA_resources

* Plotly functions to plot
* Communications settigns
* Pandas functions
* Time series functions

• Use this repository as a submodule within the repository of the project in which it will be applied

git submodule add https://github.com/joanvelro/IA-resources.git

• it is added the file .gitmodules

[submodule IA-resources]
path = IA-resources
url = https://github.com/joanvelro/IA-resources.git

Set up IA-ready environemnt

Install prerequisites

First steps (instructions for Mac or Linux). You need to install a recent version of Python, plus the packages 'keras', 'numpy', 'matplotlib' and 'jupyter'.

Install a recent Python

If you haven't installed a recent Python I recommend installing via Homebrew on a Mac from http://brew.sh and then installing Python via

brew install python

Configure a virtual environment

You can install the packages globally, but I suggest installing them in a 'virtualenv' virtual environment that basically encapsulates a full isolated Python environment. First you'll need to install a Python package manager called 'pip' thus:

easy_install pip

(If you get a permissions error, try adding a 'sudo' to the beginning, so 'sudo easy_install pip')

sudo easy_install pip

Now install virtualenv thus:

pip install virtualenv

Navigate to your home directory 'cd ~' and create a virtual environment. We'll call it 'my_virtual_env'

virtualenv my_virtual_env

Now, to switch your shell environment to be within the env:

source my_virtual_env/bin/activate

my_virtual_env/Scripts/activate

Great: now you can install the other prerequisites into this environment.

pip install numpy jupyter keras matplotlib tensorflow xgboost pyomo statsmodels

Export environmnet

pip freeze > requirements.txt

This file can then be used by collaborators to update virtual environments using the following command.

pip install -r requirements.txt

Open a new notebook

Now that everything's installed, you can open one of these web-based Python environments with the following command:

jupyter notebook

Create a new Python notebook from the "New" menu at the top-right:

You should now be able to run Python in your browser!

Deactivate the Environment

To return to normal system settings, use the deactivate command.

deactivate

(C) Jose Angel Velasco (@joanvelro) - 2021