Clone link from GitHub repository Python-technologies-statistics
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
-
Step 1: Run the
parse.py
file. This script will parse the djinni.co website with the Python Vacancies filter and update the data in thevacancies.csv
file. -
Step 2: Open the
djinni_python_vacancies_technology_analysis.ipynb
Jupyter Notebook file. Here, you'll find various analytics and diagrams, including:- Top 20 most common technologies in the vacancies
- Most popular technologies for Junior Vacancies
- Analysis of Junior vacancies by views and applications
- Analysis of vacancies' locations
- Analysis of the options for Remote/Office/Hybrid work
- Analysis of the vacancies' distribution by position (Junior, Middle, Senior, etc.)