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Samwel K.'s Projects

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

ariadne-graphql icon ariadne-graphql

Ariadne is a Schema-first implementation of how to build graphQL API's in python. This repo demonstrates how to build a graphql api for your project using Ariadne as opposed to graphene.

awesome-cheatsheets icon awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

blog icon blog

Personal Thoughts and writings

blog-api icon blog-api

A documentation-first approach to building a RESTful API in Python.

bloggy icon bloggy

A fully-featured blog application built using the Django Web Framework. Includes post tags, commenting system, sharing posts via email, post recommendations and full-text search.

cheatsheetseries icon cheatsheetseries

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

django-demo icon django-demo

Source code for my article on medium on how to initialize a Django project with Poetry and Docker.

django-todo icon django-todo

A multi-user, multi-group todo/ticketing system for Django projects. Includes CSV import and integrated mail tracking.

django_graphql_docker icon django_graphql_docker

A project showing how to create a GraphQL API powered by Django and running on docker containers

django_graphql_movies icon django_graphql_movies

A simple GraphQL API for movie titles and the corresponding actors made with django and graphene

djangox icon djangox

Django starter project with batteries

flask-ocr icon flask-ocr

A simple-python-optical-character-recognition. Optical Character Recognition involves the detection of text content on images and translation of the images to encoded text that the computer can easily understand. An image containing text is scanned and analyzed in order to identify the characters in it. Upon identification, the character is converted to machine-encoded text.

flower-species icon flower-species

A simple machine learning application with Django REST framework, which predicts the species of a sample flower based on measurements of its features i.e. the sepal and petal dimensions – length and width.

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