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Project for helping to understand the most demanded technologies on the tech market right now.

Jupyter Notebook 98.23% Python 1.77%

djinni-python-technologies-statistics's Introduction

Djinni Python Technologies Statistics Project

Small app that serves for analysis and visualization or most-demanded technologies for python developers right now

The App has the following features:

  1. Scraping information from djinni website using parse.py module
  2. Data clearing and analyzing using analysis.ipynb
  3. History stored in "history" folder

Getting Started

  1. Clone this repository to your local machine git clone the-link-from-your-forked-repo.
  2. Create a virtual environment using python -m venv env.
  3. Activate the virtual environment using source env/bin/activate(on macOS) Or env\Scripts\activate (on Windows).
  4. Install the required dependencies using pip install -r requirements.txt.
  5. Run python parse.py.
  6. After completion, run all cells in analysis.ipynb

DEMO

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