Completed

Process a Large Amount of Data Files Using Python

I have a large amount of data files that I’d like to have processed (and select information placed into an output CSV).

The purpose of the project will be:

1 – Develop a python script that will process the 180 input files (each input file is ~150mb and is in [login to view URL] format)

2 – Incorporate multi-threading to take full advantage of the high-power server that will be used for the processing (96 processors and 192gb of memory)

3 – Run the developed script on the files and generate the [login to view URL] (you will be given access to the server which may be accessed using RDP)

** Please see the attached write-up that explains the exact details in-depth.

** Please include a brief description in your PM along with your bid so I can tell that you reviewed the attached document read and fully reviewed the project description instead of using an auto-bidder to bid on the project. Just a sentence or two will do.

** This is a rush project. It is a requirement that the project needs to be completed within 24 hours. Hence the budget I have allocated.

Thank you!

Skills: Python, Data Processing, Data Entry, Software Architecture, Data Cleansing

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About the Employer:
( 96 reviews ) New York, United States

Project ID: #21234666

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truepai

Hello! I understood your project. I see that you need some help for processing large amount data using python. Your document has 5 parts. I am on freelancer all day and I will implement all things that you want perfect More

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Techiedev

Hi, I have good experiences developing code in Python Programming language for scientific application and Machine learning projects more than 3 years . I read description files which have 5 parts. In first parts you n More

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13 freelancers are bidding on average $262 for this job

shiyusun180409

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fivestar10

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sharktiger

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topexpert713

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pinesucceed01

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GlobalSolution3

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healer818

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abushaleasharmi

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topdev19

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jamesonwelch

The project sounds relatively straight forward. Taking info from files and populating a CSV into ordered, retrievable data. The program of which takes advantage of a high-power server by using multi-threading. I've w More

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