python 代写

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。

XJCO3221 coursework 2 MPI

School of Computing: Assessment Brief Module title Parallel Computation Module code Assignment title Coursework 2 Assignment type and description MPI Programming Assignment and Analysis To implement a distributed parallel program in MPI, use collective communication to distribute the problem and accumulate the answer, and to implement a binary tree using point-to-point communication. Finally, to evalu- …

XJCO3221 coursework 2 MPI Read More »

OANDA simulator HW4

Metro Tech Spring 2023 (Due on 04/21/2023 at 11:59 pm) Teams of 2 students (Feel free to build your team) Use OANDA simulator https://www.oanda.com/us-en/trading/  “Try demo” Meta Trader 4 (MT4)  Don’t use version 5! (1) Long EURUSD  $1M ; (2) Short GBPCHF  $1M TWAP execution over 10 hours ($100K/hour)  see …

OANDA simulator HW4 Read More »

4b Python assignment TED talks

Assignment 4b A corpus of TED talks and their translations In this assignment, you are going to work with a corpus of transcribed TED talks (English) and their translations into other languages. The resource is called WIT3 – acronym for Web Inventory of Transcribed and Translated Talks. The learning goals of this assginment are the …

4b Python assignment TED talks Read More »

QQMN534 FINAL Independent Coursework Questions

5QQMN534: Algorithmic Independent Final Assignment Questions (75% Total Weight) Individual Assignment: Information • Start Date: 31/03/2023 10am • End date: 28/04/2023 10am • Part A: Practical Coding: 3 questions. 70% • Part B: Theory: 3 questions 30% • Questions have sub marks. • Total mark is scored out of 100. Content covered: • Practical Python …

QQMN534 FINAL Independent Coursework Questions Read More »

CS6601 CS3600 Assignment 6 Hidden Markov Models

Assignment 6: Hidden Markov Models Setup 1. Clonethisrepository: git clone (personal repository link).git 2. Navigatetotheassignment_6/directory 3. ActivateyourAIenvironmentifyou’reusingAnaconda 4. Runthefollowingcommandtoinstallallrequirementsforthisassignment: pip install -r requirements.txt Hidden Markov Models are used extensively in Artificial Intelligence, Pattern Recognition, Computer Vision, and many other fields. If a system has unobservable (hidden) states and each state is independent of the prior, …

CS6601 CS3600 Assignment 6 Hidden Markov Models Read More »