Daniele D'Avino davins90

## github_pipeline.md

      
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              December 11, 2023 09:42
            
              
                github_pipeline.md
              
          
    Create GitHub repo online, pull it locally, upload local code


git init -b main
git remote add origin URL
git pull origin main
git add .
git commit -m "MESSAGE"
git push origin main


## docker_linux.md

      
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                davins90
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              August 12, 2023 15:12
            
              
                Docker images managed by Docker Compose with user permission (from root)
              
          
    Setting Up JupyterLab in Docker on Ubuntu

This guide outlines the steps to build and run a JupyterLab container with specific directories and permissions, following a common structure needed for data science projects.
Prerequisites


Docker and Docker Compose installed on an Ubuntu system.
Your project should include a Dockerfile and docker-compose.yml file, as outlined earlier in the discussion.

Step-by-Step Guide


Create the Source Directories: Create the src directory along with its subdirectories. These will be used as volumes in your Docker containers.


## heroku_streamlit_app.md

      
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                davins90
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              January 8, 2021 20:45
            
              
                How to create a webapp and deploy it - 28/8/2020
              
          
    This is my tutorial on how to create and publish a webapp written in Python, interfaced with Streamlit and brought online with Heroku.
Introduction

Creating algorithms and applications has a precise purpose: to use them outside of your PC. Using them "locally" risks being a big limitation. Hence my need to find a way to bring small applications online, so that they can be used by more people, without having to go through me or my PC.
To do this you need 3 ingredients: GitHub, Streamlit and Heroku.
The process

GitHub


## pelican_blog_pt2.md

      
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                How to create a blog with Pelican? (Part 2) - 11/7/2020
              
          
    Introduction

In the previous article (Part 1) we've seen how to build a website, now it's time to publish it! Let's start!
The publishing process

The publication process consists of two phases:


the first online publication;


the second, third, etc.. publication based on updates, new posts and so on.


## pelican_blog_pt1.md

      
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                How to create a blog with Pelican? (Part 1) - 28/6/2020
              
          
    Introduction

With modern technological tools it is becoming increasingly easy to build your own web identity that is not only linked to the world of social networks.
In this post we will see how to build a blog using Pelican, a way to build static websites based on Python, one of the most popular languages of the moment.
Building it will be the first step, making it operational will be the second, and for this goal we make use of the possibilities offered by GitHub, the most known code-repository that allows to host for each user its own web page.
The purpose?
From creating an alternative Curriculum Vitae, to telling and spreading examples of work, projects or simple tutorials, like this one. Let's get started with the first step!
The building process


## virtual_environment.md

      
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                davins90
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              January 8, 2021 20:36
            
              
                How to create a virtual environment on your PC - 01/06/2020
              
          
    Why a virtual environment?

A virtual environment is useful in case you want to try particular libraries and extensions of a particular programming language (eg Python), without having to worry about creating conflicts with previous (or later) versions already installed on your machine.
For example: the XY library only works with version 3.0 of the Z tool, but you have version 4.0 installed on your PC. To avoid creating conflicts by uninstalling the current version, creating a virtual environment is the ideal solution!
The procedure

These steps can be performed comfortably via command prompts. Let's get started!

First of all you need to install the package that allows the creation of a virtual environment. This is possible by running the following code: