The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Python for cybersecurity with the basic concepts, easy to understand code examples, lab exercises, real-world examples, different security scripts covering web security, network security, defensive security, crypto examples, exploits etc...

The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.

A complete, folder-based guide to the Python language, from basics to advanced concepts, explained through clear, runnable code examples.

Code for intrusion detection system (IDS) development using CNN models and transfer learning

🧪 Proof of Concept for a RESTful API built with Python 3 and FastAPI

Python OOP : Object oriented Programming in Python

A practical, example-driven guide to learning Python with clear explanations and real coding tasks.

Python examples from CCPS 109 Computer Science I, by Ilkka Kokkarinen

Examples for people who want to learn Python

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

Unofficial community documentation for Prophet 21 (P21) APIs with Python examples. Covers OData, Transaction, Interactive, and Entity APIs. Not affiliated with Epicor.

This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.

Predicts a chance of loan repayment based on historical data

Tutorial python tingkat menengah di Jago Ngoding

utilities for making working life easier

Python Cheatbook