A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them. Virtual Environment should be used whenever you work on any Python based project. It is generally good to have one new virtual environment for every Python based project you work on.
Welcome, the following post is aimed especially at those who are becoming out on Linux.
The first thing you should do is install the following module:
sudo apt install python3-venv
# TERMINALcd Documents/
Welcome, in the next post we will do an EDA and data visualization with plotly (you can download the dataset here), we will also create a Dashboard using Streamlit and finally, we will deploy it through Heroku.
Before starting, we intend to answer the following questions.
Linux (Pop!_OS 20.10) I’m here
sudo apt install python3-venv# Active environment
When you want to start your project, you can use the data sets offered by sites like Kaggle, but you can get data using web scraping.
You want to extract a certain number of posts from each company and then apply Machine learning techniques.
An implementation of this code can be directly found at my GitHub page here: https://github.com/anthoguille/web_scraping_linkedin
Note: You could also add the “Number of posts”, in this case we will.
Press F12 or right-click on the page then go to inspect.
Aspiring to become a Data Scientist | Data Analyst