Object-oriented programming (OOP) is a programming paradigm based on the concept of objects fundamental to many programming languages, including Java and C++. OOP can be devided in two sub types: class-based (or "classical") and prototype-based OOP (found in JavaScript, for example).
Object-oriented programming has several advantages over procedural programming:
Python code for UNO game ( Player VS Pc). Includes both .py and .ipynb (Jupyter Notebook) files
Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.
Collection of Python Projects, Jupyter Notebooks, & Learning Materials
series of python tutorial in jupyter notebook format.
Personal notes on OOPs in Python 3. Data obtained from different online sources for education and learning purposes
Python Bootcamp 2020 Notebooks and Assignments
Contains Python Notebooks for Udemy Python Bootcamp course by Jose Portilla.
Somos uma loja de venda de desktops e notebooks. Nossos produtos são os melhores do mercado!
Notebook that implements a body and system class that simulate planetary movement in 2d or 3d.
Welcome to "Python Basics: Learn to Code from Scratch"! This is a comprehensive course designed for beginners who want to learn Python from scratch. In this repository, you will find all the course materials, including notebooks, assignments, and solutions.
A toy example in a google colab notebook that models how a simple biological body plan could be stored in object-oriented morphogenetic code.
This repository includes notebooks on topics such as abstraction and polymorphism, advanced error handling, classes, comparison of different sorting procedures, data encapsulation, generators, inheritance, and searching and sorting. These resources are designed to help you learn and explore the capabilities of the Python programming language.
Solutions to a variety of competitive programming problems from Online Judge ORG implemented in Python. Each solution is meticulously organized as a Jupyter Notebook (*.ipynb) and categorized based on the primary data structure employed to solve the problem.
This repository serves as a Persian-language learning resource for Python, aligning with the book "Python for Programmers" by Paul and Harvey Deitel. It includes interactive Jupyter notebooks for each chapter, offering step-by-step code examples, exercises, and visualizations to enhance learning.
This portfolio contains projects done using Python programming language to work on real-life data to gain insights. The individual projects cover random topics like defining my own functions, creating my own classes, exploratory data analysis and even predictive modelling using Jupyter notebook.
This repository is a comprehensive guide to Machine Learning algorithms, Python OOP, data preprocessing, and visualization using Pandas, NumPy, Seaborn, Scikit-learn, and more. It includes hands-on Jupyter notebooks, modular Python scripts, and a structured ML pipeline for training and evaluating models. 🚀
Created by MIT, Alan Kay
Released 1960