Extract row data from eps files

Terminé Publié le il y a 5 ans Paiement à la livraison
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I need to extract row data from several eps files following the method describe at this link [login to view URL]~matthew/blog/?p=330. You should give me code and documentation of the work.

Matlab and Mathematica Python Architecture Logicielle Bureau Windows

Nº du projet : #17819789

À propos du projet

8 propositions Projet à distance Actif il y a 5 ans

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hosseinmonsefi

Hi, I am a student of Politecnico dim Milano University which is a high-rank university in the world. I have a lot of experience in MATLAB and I can do your project. I check the website and I did everything steps by s Plus

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(20 Commentaires)
4.2

8 freelances font une offre moyenne de 53 $ pour ce travail

schoudhary1553

Hello, i have read your project details and i can help you with 100% quality and your satisfaction. I have delivered more than 400 project with client satisfaction. Please see my profile . I have more than 5 years o Plus

$120 USD en 2 jours
(63 Commentaires)
6.3
anupkelkar02

I am a Python data science expert with experience in Classification and partitioning,Neural Networks, Association rules, Machine Learning Model, Tensorflow. Also I am a Oracle Certified professional (OCP) with ex Plus

$30 USD en 2 jours
(48 Commentaires)
6.0
pkudriavcevas

® THIS IS NOT GENERAL PROPOSAL ® My name is Povilas and I'm ⇑perfect⇑ for your task. You can open EPS with winzip - fun fact :) I can complete your project with Python. I'm Python programmer with experience workin Plus

$100 USD en 2 jours
(19 Commentaires)
5.2
rizwanmpec

Expert in Matlab, Simulink, Power System, Signal Processing, Image Processing Artificial Intelligence. Excellent in Electrical Engg. I can do this work. Pls send a msg to discuss further.

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(17 Commentaires)
4.3
samsondanziger

I can complete this in pure Python. No Inkscape or Matlab needed. I'll start by making a prototype script, and then tidy it up to a production ready script for you. I have over 5 years experience with Python, most Plus

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(3 Commentaires)
2.8