python-data-science-libraries

1 Introduction

1.1 Summary

Repository to utilize various python Data Science libraries.

1.2 Index

This repository covers following data science libraries:

1.2.1 Data manipulation libraries

1. NumPy
2. pandas

1.2.2 Data visualization libraries

1. Matplotlib
2. seaborn

1.2.3 Data modeling libraries

1. scikit-learn
2. TensorFlow
3. PyTorch

1.3 Technologies

1. Python: Programming language (version >= 3.12).
2. Libraries:
   1. NumPy: Python library used for scientific computing.
   2. pandas: Python library used for data manipulation and analysis.
   3. Matplotlib: Python library used for data visualization.
   4. seaborn: Python library used for enhanced data visualization.

2 Setup

2.1 Local setup

STEP 1: Clone repository

Clone this repository and traverse to the project folder using below commands:

git clone https://github.com/DheemanthBhat/python-data-science-libraries.git
cd python-data-science-libraries

STEP 2: Setup virtual environment

Windows

python -m venv .venv
.venv\Scripts\activate

Linux

python -m venv .venv
source .venv/bin/activate

STEP 3: Install python packages

pip install -r requirements.txt

STEP 4: Jupyter server

Start jupyter notebook (within virtual environment) using below command:

jupyter notebook