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<img src="https://user-images.githubusercontent.com/20999114/35537819-a71d5fc4-0519-11e8-9d1f-489ca7ed6822.gif" height="30" width="40"> Update Center
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<img src="https://user-images.githubusercontent.com/20999114/35537819-a71d5fc4-0519-11e8-9d1f-489ca7ed6822.gif" height="30" width="40"> Project Update & Overview
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====
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Last Update Info
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<br />Time: Jan 31 01:00 AM EST
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+ their local repository as frequent as possible. Thank you.
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```
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#### Birds Eye View
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| | |
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| --- | --- |
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| Repo Type | Script Type |
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| Current Status | Phase 1 |
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| Development Timeline | Start Jan 2018 :: Finish Feb 2018 |
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| Application Type | Backend |
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| License Type | MIT |
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:couple: Audience Insights
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#### Knowledge Base
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As we all know, in general, running multiple threads simulteneously is equivalent to running several programs at the same time. In such case, threading in Python is a very popular process to attain concurrency and parallelism. Using threading module in a Python program gives us several key advatages such as sharing same data space and operating on light-weight process in order to avoid unnecessary memory overhead.
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#### Birds Eye View
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| | |
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| --- | --- |
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| Repo Type | Script Type |
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| Current Status | Phase 1 |
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| Development Timeline | Start Jan 2018 :: Finish Feb 2018 |
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| Application Type | Backend |
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| License Type | MIT |
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#### Functional Description

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