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Small Introduction about Matlab?

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What is Matlab?

MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. 

Features

  • Math and computation
  • Algorithm development
  • Modeling, simulation, and prototyping
  • Data analysis, exploration, and visualization
  • Scientific and engineering graphics
  • Application development, including Graphical User Interface building

MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar noninteractive language such as C or Fortran.

The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation.

MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis.

It's a multi-paradigm numerical computing environment. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python.

Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

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posted Dec 27, 2017 by Madhavi Latha

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Asynchronous HTTP client/server framework for asyncio and Python 

Features:

  • Supports both client and server side of HTTP protocol.
  • Supports both client and server Web-Sockets out-of-the-box and avoids Callback Hell.
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Commands

pip install aiohttp

You may want to install optional cchardet library as faster replacement for chardet:

pip install cchardet

For speeding up DNS resolving by client API you may install aiodns as well. This option is highly recommended:

pip install aiodns

Example

import aiohttp
import asyncio

async def fetch(session, url):
    async with session.get(url) as response:
        return await response.text()

async def main():
    async with aiohttp.ClientSession() as session:
        html = await fetch(session, 'http://python.org')
        print(html)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

Video for aiohttp

https://www.youtube.com/watch?v=Z784Mwm4VBg

 

 

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