Actually Code Linters are really necessary to use . Usually during the PoC of any Data Science Project , we do not care about code quality . But when you convert that PoC into a feature and then integrate into any product . It becomes really necessary to improve the code quality . Linters are necessary for every programming language . As you now Python is a dynamic programming language which perform auto garbase collection . All these feature helps in maintaining code quality but linters gives add on this .This article will help you in finding Top 5 Python Code Linters .
Top 5 Python Code Linters –
It helps in detecting duplicate code . It also helps in maintaining coding standards . Coding standard involves naming convention . If we go deeper it helps in finding hole in the code implementation as well . For example the interface is properly implemented or not and all dependent modules are imported or not etc . This helps coder / programmer top identify basic code health check while development .
Quite similar to the above one . Basically it covers most the feature available in the above tool . I will suggest you to go through it . Because covering all the feature in very few lines , will be big injustice .
This utility works as python linter . It auto converts python code into pep8 standard . Basically by saying it converts into pep 8 , I mean it format the code in pep 8 standard .
It is a different kind of Python linters . It basically helps in identifying hidden bugs .
5. Pylama –
Last but not least . Here is the detail documentation on its usages and implementation .
How important is Linters in Coding ? –
I have read in community of developer that Linter is just a styling . But it is not completely true . Obviously styling is just a feature of a formator but linters are beyond too it . Actually in most of the cases they provide you warning , if you resolve them in early stages . You may easily avoids future production bugs . Specially in the case of dynamically typed programming languages like python . So linters are practices and some time must to have things .
This article helps you in identifying best python linter for your code base . Well its always advisable to use linters while development . This is not necessary only in Data Science but it is advisable every where like web development , script generation etc . The scope of this article was to introduce you with all of them . Buy yes ! We will provide few more article in how to use linters in python code base .
But I will request you to subscribe Data Science Learner inorder to get updates on python linters and data science stuffs . We also offer free study material on data science to our newsletter subscriber . Apart from this if you want to contribute content on data science stuff or linter etc . You are most welcome to write us back . There could be couple of ways like guest post etc .
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