Python是一种高级编程语言，它用于创建网页，移动应用程序，脚本和机器学习模型。它拥有强大的类库，允许开发人员快速编写功能强大的应用程序。
Python有许多优点，其中包括：它是相对容易学习和使用的动态编程语言；它拥有丰富的内置库和模块；它拥有广泛的社区支持；它支持跨平台；它可以进行快速原型开发；它可以有效地利用内存；它可以使用C / C ++扩展；它支持大量的开源框架和库；它具有强大的编程能力和可读性；它支持多种编程风格；它可以进行测试驱动开发，以及其他许多优点。
Introduc)on Cloud Compu)ng Exercise 10 Kubernetes using Azure Kubernetes Service (AKS) This assignment is an online tutorial that will provide you with some hands-on experience deploying an Azure Kubernetes Service (AKS) Cluster using Azure CLI. You will need the same MicrosoE Azure subscripFon using your Outlook account (not your WUSTL account). The goals of this […]
Cloud Computing Exercise 10 Read More »
Intro to Image Understanding (CSC420) Projects Posted: March 28, 2024. Report Submission Deadline : April 19, 11.59pm, 2024 Max points for project: 40 Projects can be done individually or in pairs. If a project is done in a pair, each student will still need to defend their part. From the report it should be clear
COMP9021 Principles of Programming Term 1, 2024 Assignment 1 Worth 13marks and due Week 7 Monday @ 10am 1. General Matters The purpose of this assignment is to: • develop your problem-solving skills. • design and implement the solution to a problem in the form of a medium sized Python program. • practice the use
COMP9021 Principles of Programming Assignment 1 2024 Read More »
COMP9417 – Machine Learning Homework 2: Numerical Implementation of Logistic Regression Introduction In homework 1, we considered Gradient Descent (and coordinate descent) for minimizing a regularized loss function. In this homework, we consider an alternative method known as Newton’s algorithm. We will first run Newton’s algorithm on a simple toy problem, and then implement it
COMP9417 Homework 2 Read More »
ENGG1811 Assignment 1: Pattern detection (Term 1, 2024) Due date: 5pm, Thursday of Week-07 . Late Penalty: Late submissions will be penalised at the rate of 0.2% per hour for 121 hours. Followed by 75.8% per hour for 1 hour. Submissions will not be accepted after 9am Tuesday of Week-08. Change Log 16/03/24 – Added
ENGG1811 Assignment 1 (Term 1, 2024) Read More »
2024/3/29 09:43 COMP1521 24T1 — Assignment 2: a file archiver https://cgi.cse.unsw.edu.au/~cs1521/24T1/assignments/ass2/index.html .trats ot ecalp lufesu a eb ot oediv weivrevo tnemngissa eht dnif yam uoY ;)2 tesbus( selif fo tsil a morf yxalag a etaerc ;)1 tesbus( yxalag a morf detcartxe selif fo snoissimrep elif eht tes ;)1 tesbus( ;sehsah rats gnikcehc yb ,ytirgetni rof
COMP1521 24T1 — Assignment 2 a file archiver Read More »
DS/CMPSC 442: Artificial Intelligence Spring 2024 Project-2 Adversarial Search (Due: March 26th 11:59 PM) Question 1: Designing Wild Tic-Tac-Toe Agents Figure.1 An example of playing tic-tac-toe Project Description We all know how to play tic-tac-toe. In this project, we will be implementing a variation of classic tic-tac-toe (let’s call that wild tic-tac-toe). In wild tic-tac-toe,
# Chess Game ## Technologies used: Python with pygame module ## Project Description: This is a Chess game built using python with pygame module for GUI. It has 2 playing mode either you can play against another human player or against AI. The AI was implemented using Minimax algorithm with alpha beta pruning and with
Assignment 4: Modeling Epidemics¶ import time import EoN as eon import matplotlib.pyplot as plt import networkx as nx import numpy as np import scipy from tqdm.notebook import tqdm Part 1: Outbreak Modeling [40 Points]¶ def load_flu_network(): # Read the graph G = nx.read_edgelist(“fludata.txt”, nodetype=int, data=((“weight”, float),)) def simulate_outbreak(G, n_iter, initial_infected=325, tmax=10, beta=0.01, mu=0.5): G :
A4 Spring 2024 GT CS 7280: Network Science Assignment 4: Modeling Epidemics Spring 2024 The objective of this assignment is to experiment with the concepts we covered in Module4 about network epidemics, and see how the theoretical results that were derived in class compare to simulation results. Submission Please submit your Jupyter Notebook A4YOURGTUSERNAME.ipynb with
CS7280 A4 Spring 2024 Read More »