Python Practice For Beginners

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Project Overview:

This repo contains python coding examples for beginners. I will be adding practice projects with varying difficulty levels. These examples will be a mix of problem solving, datastructure and machine learning problems. I started this to practice machine learning and refine my python skills. I hope this will be helpful to others who are at the beginners level and want to improve their coding skills.

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Libraries Used:

1. Pytest for unit testing
2. Python 3 (I have version 3.7.6)
3. Code Formatter(Black: https://pypi.org/project/black/)

File Structure:

1. all modules => /packages folder
2. notebooks => /notebooks folder
3. tests => /tests folders

Examples:

1. Exploring linear, exponential and quadratic functions

2. Binomial Distribution

3. Twitter Scrapper

4. Prepare own dataset for 'Nutrient Deficiency in Tomato'

   4.1 Scrapping

   4.2 Image Processing

Getting Started:

• Clone the repo

git clone git@github.com:shashigharti/python-examples-for-beginners.git

• Create a virtual environment using anaconda tool (https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html)

  • python version 3 or above

• Once virtual environment is setup install

  • pytest
  • numpy

• To run tests run:

pytest

OR

python -m pytest

• To check code usage in notebook run:

jupyter notebook