Find dead Python code with Vulture

Easily clean up the unused Python code that is hiding in your projects. Vulture is a library that helps locate "dead" (unused) Python code in your projects so that you can deal with it. In this video I go over how to use this tool to improve your Python code.

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$15 off Annual Dataquest subscription
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Merch: https://bit.ly/PythonAndDataMerch

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My Number 1 course recommendation for self learners (affiliate link): bit.ly/GoogleAnalyticsProfessionalCertificate

Udemy Recommendations that I have Personally Taken (affiliate links):
►►Learn Statistics http://bit.ly/Statistics4DSUdemyCE
►►Learn Python http://bit.ly/LearnPythonCE
►►Learn SQL http://bit.ly/LearnSQLCE
►►Learn Data Analysis (this goes into advanced concepts - learn up to and including Logistic regression - you don't need this before you start applying for jobs but it can help) http://bit.ly/PythonMLDS_CE
►►Learn Business Intelligence http://bit.ly/LearnBI_CE
►►Learn Time Series Analysis (this is an important skill in SOME jobs, but you don't need this before you start applying for jobs) http://bit.ly/TimeSeries_CE

For a more technical / hands on approach consider Dataquest (this is where I learned much of what I know). You will learn will learn SQL, Python, R, and more)! This is a recommendation link I do not get paid, but you will get $15 dollars off.
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Recommended Books

United States
►► Python for Data Analysis by Wes McKinney http://bit.ly/PythonAnalysisUS
►► SQL Cookbook by Anthony Molinaro & Robert de Graff http://bit.ly/SQLCookbookUS

UK
►► Python for Data Analysis by Wes McKinney http://bit.ly/PythonAnalysisUK
►► SQL Cookbook by Anthony Molinaro & Robert de Graff http://bit.ly/SQLCookbookUK

Canada
►►Python for Data Analysis by Wes McKinney http://bit.ly/PythonAnalysis
►►SQL Cookbook by Anthony Molinaro & Robert de Graff http://bit.ly/SQLCookbook

These are affiliate links (no extra charge to you, but it helps me out)

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Vulture Documentation: https://github.com/jendrikseipp/vultu...

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0:00 Intro
0:21 Dead Code
0:45 Vulture Installation
1:08 Code review
1:58 Using Vulture
3:31 Ignoring code (ignore names)
4:44 Ignore code (whitelist)
6:00 Ignore code confidence
6:42 Many .py files

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